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Sr. Staff AI Engineer
Capital One Mc Lean, Virginia
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
AI Engineer 4 (AI Foundations, LLM Customization and Finetuning)
Capital One New York, New York
AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Staff AI Engineer
Capital One New York, New York
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Staff AI Engineer
Capital One Richmond, Virginia
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
Sr. Staff AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Data Integration Engineer
SPS Health LLC Milwaukee, Wisconsin
Summary The Senior Data Integration Engineer is responsible for the design, development, and operation of the data integration and ingestion processes that deliver partner and internal data into our analytics environment. The role owns the flow of data from source acquisition through the curated data warehouse tables consumed by reporting platforms, operational systems, and business analysts. This is a senior, hands-on engineering position spanning the full integration lifecycle: acquiring data from a wide range of external partner and internal systems, validating and conditioning that data on arrival, transforming it into the structures that support analysis and operations, and operating those processes reliably in production. The role is concerned equally with building new integrations and with the continued performance, accuracy, and timeliness of those already in service. A central objective of the position is to advance reusable, well-instrumented integration patterns that shorten the time required to onboard new data sources and that improve the reliability and transparency of data delivery to the business. The Senior Data Integration Engineer will also contribute substantially to the planned modernization of our data platform, evaluating and recommending tooling, architecture, and migration approach for leadership consideration. The role sets technical direction and development standards for data integration work and collaborates closely with data architects, business analysts, stakeholders across the organization, and the technical contacts of our external data partners. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, develop, and maintain data integration processes that acquire data from partner and internal sources, including flat file transfers over SFTP, REST API endpoints, and direct database connections. Develop reusable, configuration-driven ingestion patterns that reduce the effort and elapsed time required to onboard new partner data feeds. Develop and maintain the T-SQL transformation logic that carries data from landing and staging layers through to the curated warehouse tables supporting reporting, operational systems, and analyst queries. Design ingestion processes to be idempotent and safely re-runnable, incorporating automated retry and restart behavior for failed executions. Implement automated validation and quarantine processes so that records failing business-defined quality rules are isolated, reported, and prevented from reaching downstream consumers. Implement data quality rules defined by the business, including schema validation, reconciliation, row count and threshold checks, and anomaly detection. Establish monitoring, logging, and alerting for pipeline execution state, data freshness, and load completion, and automate the communication of ingestion status to stakeholders. Diagnose and resolve production data incidents, determine root cause, coordinate remediation, and document preventive measures through runbooks and post-incident review. Contribute to dimensional data model design in collaboration with the data architect and senior team members. Establish and maintain version control, code review, and repeatable deployment practices for database and pipeline code. Define and uphold development standards for data integration work through code review and technical guidance. Evaluate and recommend tooling, architecture, and sequencing for the platform modernization effort for leadership consideration. Migrate established integration workflows to modernized patterns incrementally and without disruption to production operations. Maintain documentation of data feeds, dependencies, lineage, ownership, and escalation paths. Perform all work involving protected health information in accordance with HIPAA requirements, including least-privilege access, secure transmission and storage of partner data, and the exclusion of PHI from logs and non-production environments. Coordinate with partner technical contacts, as needed, to resolve file format, schema, and connectivity questions. Provide occasional off-hours support for critical data load failures or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires six (6) or more years of professional data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Advanced T-SQL development skills, including: Set-based rewriting of row-by-row and cursor-based logic. MERGE, upsert, and slowly changing dimension load patterns. Window functions and complex analytic queries. Execution plan analysis, index strategy, statistics management, and resolution of performance issues such as parameter sniffing. Transaction management and structured error handling within stored procedures, including correct rollback behavior on partial failure. Demonstrated proficiency in Python for data engineering applications, including API-based data acquisition, file parsing and format handling, data validation, and the development of packaged, scheduled jobs. Familiarity with common data libraries such as requests and pandas is expected. Demonstrated experience acquiring and integrating data from heterogeneous sources, including delimited, fixed-width, JSON, and XML file formats; REST APIs requiring authentication, pagination, and rate-limit handling; and direct database connectivity. Proficiency with Git and collaborative development workflows, including branching, pull requests, and code review. A code-first development approach, with integration logic authored and maintained in T-SQL and Python under source control. Ability to analyze pipeline and query performance and to improve the reliability, scalability, and cost efficiency of data workloads. Strong written communication skills, with the ability to produce runbooks, technical documentation, and incident reports, and to convey the business impact of technical issues to non-technical stakeholders. Strong problem-solving skills, attention to detail, and demonstrated ownership of production systems. Experience with Microsoft Azure data services such as Azure Data Factory or Microsoft Fabric, or comparable cloud orchestration platforms. Experience migrating on-premises SQL Server integration workloads to a cloud platform. Experience with dimensional modeling and data warehouse design. Experience designing and rationalizing SQL Server Agent job dependencies and scheduling. Experience establishing version control, code review, and repeatable deployment practices for database code. Experience implementing CI/CD pipelines for database projects. Experience handling protected health information under HIPAA, or comparably regulated data under an equivalent framework preferred. Experience with healthcare or pharmacy data, including claims, eligibility, prescription, or delivery data preferred. Familiarity with data governance, metadata management, and data lineage practices. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. . click apply for full job details
09/23/2026
Full time
Summary The Senior Data Integration Engineer is responsible for the design, development, and operation of the data integration and ingestion processes that deliver partner and internal data into our analytics environment. The role owns the flow of data from source acquisition through the curated data warehouse tables consumed by reporting platforms, operational systems, and business analysts. This is a senior, hands-on engineering position spanning the full integration lifecycle: acquiring data from a wide range of external partner and internal systems, validating and conditioning that data on arrival, transforming it into the structures that support analysis and operations, and operating those processes reliably in production. The role is concerned equally with building new integrations and with the continued performance, accuracy, and timeliness of those already in service. A central objective of the position is to advance reusable, well-instrumented integration patterns that shorten the time required to onboard new data sources and that improve the reliability and transparency of data delivery to the business. The Senior Data Integration Engineer will also contribute substantially to the planned modernization of our data platform, evaluating and recommending tooling, architecture, and migration approach for leadership consideration. The role sets technical direction and development standards for data integration work and collaborates closely with data architects, business analysts, stakeholders across the organization, and the technical contacts of our external data partners. Essential Duties and Responsibilities This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem necessary from time to time. Design, develop, and maintain data integration processes that acquire data from partner and internal sources, including flat file transfers over SFTP, REST API endpoints, and direct database connections. Develop reusable, configuration-driven ingestion patterns that reduce the effort and elapsed time required to onboard new partner data feeds. Develop and maintain the T-SQL transformation logic that carries data from landing and staging layers through to the curated warehouse tables supporting reporting, operational systems, and analyst queries. Design ingestion processes to be idempotent and safely re-runnable, incorporating automated retry and restart behavior for failed executions. Implement automated validation and quarantine processes so that records failing business-defined quality rules are isolated, reported, and prevented from reaching downstream consumers. Implement data quality rules defined by the business, including schema validation, reconciliation, row count and threshold checks, and anomaly detection. Establish monitoring, logging, and alerting for pipeline execution state, data freshness, and load completion, and automate the communication of ingestion status to stakeholders. Diagnose and resolve production data incidents, determine root cause, coordinate remediation, and document preventive measures through runbooks and post-incident review. Contribute to dimensional data model design in collaboration with the data architect and senior team members. Establish and maintain version control, code review, and repeatable deployment practices for database and pipeline code. Define and uphold development standards for data integration work through code review and technical guidance. Evaluate and recommend tooling, architecture, and sequencing for the platform modernization effort for leadership consideration. Migrate established integration workflows to modernized patterns incrementally and without disruption to production operations. Maintain documentation of data feeds, dependencies, lineage, ownership, and escalation paths. Perform all work involving protected health information in accordance with HIPAA requirements, including least-privilege access, secure transmission and storage of partner data, and the exclusion of PHI from logs and non-production environments. Coordinate with partner technical contacts, as needed, to resolve file format, schema, and connectivity questions. Provide occasional off-hours support for critical data load failures or production support rotations as needed to support timely response to critical data issues. Support AI and machine learning initiatives by maintaining reliable, secure, and well-governed data pipelines and datasets used for model development, testing, deployment, monitoring, and ongoing performance evaluation. Maintain confidentiality of information processed & follow company policies and procedures. Qualifications Requires six (6) or more years of professional data engineering, data operations, data platform operations, or related experience. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent professional experience preferred. Experience leading teams and developing supervisory staff preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Other qualifications include: Advanced T-SQL development skills, including: Set-based rewriting of row-by-row and cursor-based logic. MERGE, upsert, and slowly changing dimension load patterns. Window functions and complex analytic queries. Execution plan analysis, index strategy, statistics management, and resolution of performance issues such as parameter sniffing. Transaction management and structured error handling within stored procedures, including correct rollback behavior on partial failure. Demonstrated proficiency in Python for data engineering applications, including API-based data acquisition, file parsing and format handling, data validation, and the development of packaged, scheduled jobs. Familiarity with common data libraries such as requests and pandas is expected. Demonstrated experience acquiring and integrating data from heterogeneous sources, including delimited, fixed-width, JSON, and XML file formats; REST APIs requiring authentication, pagination, and rate-limit handling; and direct database connectivity. Proficiency with Git and collaborative development workflows, including branching, pull requests, and code review. A code-first development approach, with integration logic authored and maintained in T-SQL and Python under source control. Ability to analyze pipeline and query performance and to improve the reliability, scalability, and cost efficiency of data workloads. Strong written communication skills, with the ability to produce runbooks, technical documentation, and incident reports, and to convey the business impact of technical issues to non-technical stakeholders. Strong problem-solving skills, attention to detail, and demonstrated ownership of production systems. Experience with Microsoft Azure data services such as Azure Data Factory or Microsoft Fabric, or comparable cloud orchestration platforms. Experience migrating on-premises SQL Server integration workloads to a cloud platform. Experience with dimensional modeling and data warehouse design. Experience designing and rationalizing SQL Server Agent job dependencies and scheduling. Experience establishing version control, code review, and repeatable deployment practices for database code. Experience implementing CI/CD pipelines for database projects. Experience handling protected health information under HIPAA, or comparably regulated data under an equivalent framework preferred. Experience with healthcare or pharmacy data, including claims, eligibility, prescription, or delivery data preferred. Familiarity with data governance, metadata management, and data lineage practices. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. (The phrases "occasionally," "regularly," and "frequently" correspond to the following definitions: "Occasionally" means up to 1/3 of working time, "regularly" means between 1/3 and 2/3 of working time, and "frequently" means 2/3 and more working time.) While performing the duties of this job, the employee is frequently required to sit; talk or hear; and use hands to handle, or touch objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee would rarely need to lift up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment The position is a hybrid position with 2 - 3 days office presence in Milwaukee, WI required. The colleague may perform work-related travel on rare occasions (less than 10%) with an emphasis on travel for impact. . click apply for full job details
AI Engineer 4 (AI Foundations, LLM Customization and Finetuning)
Capital One Mc Lean, Virginia
AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/23/2026
Full time
AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Configuration Manager
Synovix, Inc. Huntsville, Alabama
Job Description Job Description Synovix is seeking a Configuration Manager for a defense development program we are supporting in Huntsville, AL. This program offers the opportunity to support the clean sheet design of a new defense product from its earliest development stages through integration, testing, and eventual production. The program has the potential to transition into production much faster than traditional government acquisition timelines. For engineers who want to expand their capabilities, this is a rare opportunity to participate in the complete development lifecycle. What You Will Do Facilitate and document Configuration Control Boards, Technical Review Boards, and Change Boards. Establish, maintain, and audit configuration-management libraries for documents, software, and hardware items. Plan and coordinate preparation, review, and release of engineering drawings, production specifications, schedules, and contract modifications to ensure compliance with contract requirements. Administer change processes, including change-order creation, authorization, status tracking, and integration with engineering, quality, and mission-assurance functions. Manage the full lifecycle of change packages-from initiation through closure-verifying implementation and updating status records. Perform configuration status accounting, generate metrics, and produce reports on baseline maturity and item status. Conduct configuration audits and verify correct marking of documents per contract and corporate guidance. Execute contract and supplier data-requirement activities, including planning, scheduling, delivery, and maintaining Supplier Statements of Work and Supplier Requirements Documents. Support development, enhancement, and maintenance of configuration-management and data-management tools. Provide technical configuration liaison with senior internal and external stakeholders, deliver presentations and coordinating cross-functional resolution of configuration issues. Required Qualifications Bachelors degree from an accredited university and 5-10 years of relevant experience. Must be a US Citizen with an active DoD Secret Clearance, at time of application, current and within scope, with an investigation date within the last 6 years. Must have the ability to obtain and maintain Top Secret Clearance and Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business needs. Proficient with Microsoft Office Suite and SharePoint. Understanding of DoD contracts and Contract Data Requirements List (CDRL) requirements. Preferred Qualifications Knowledge of configuration-management principles and best practices, including standards such as EIA-649-1, MIL-HDBK-61, and GEIA-859. Experience developing and maintaining program plans, process documentation, and configuration-management tools. Proficiency with configuration-management data tools such as Atlassian Jira, Confluence, and Tableau. Exceptional organizational, communication, and interpersonal skills with the ability to interface across all levels of the organization. Synovix, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, religious creed, gender, sexual orientation, gender identity, gender expression, transgender, pregnancy, marital status, national origin, ancestry, citizenship status, age, disability, protected Veteran Status, genetics or any other characteristics protected by applicable Federal, State, or Local Law.
09/23/2026
Full time
Job Description Job Description Synovix is seeking a Configuration Manager for a defense development program we are supporting in Huntsville, AL. This program offers the opportunity to support the clean sheet design of a new defense product from its earliest development stages through integration, testing, and eventual production. The program has the potential to transition into production much faster than traditional government acquisition timelines. For engineers who want to expand their capabilities, this is a rare opportunity to participate in the complete development lifecycle. What You Will Do Facilitate and document Configuration Control Boards, Technical Review Boards, and Change Boards. Establish, maintain, and audit configuration-management libraries for documents, software, and hardware items. Plan and coordinate preparation, review, and release of engineering drawings, production specifications, schedules, and contract modifications to ensure compliance with contract requirements. Administer change processes, including change-order creation, authorization, status tracking, and integration with engineering, quality, and mission-assurance functions. Manage the full lifecycle of change packages-from initiation through closure-verifying implementation and updating status records. Perform configuration status accounting, generate metrics, and produce reports on baseline maturity and item status. Conduct configuration audits and verify correct marking of documents per contract and corporate guidance. Execute contract and supplier data-requirement activities, including planning, scheduling, delivery, and maintaining Supplier Statements of Work and Supplier Requirements Documents. Support development, enhancement, and maintenance of configuration-management and data-management tools. Provide technical configuration liaison with senior internal and external stakeholders, deliver presentations and coordinating cross-functional resolution of configuration issues. Required Qualifications Bachelors degree from an accredited university and 5-10 years of relevant experience. Must be a US Citizen with an active DoD Secret Clearance, at time of application, current and within scope, with an investigation date within the last 6 years. Must have the ability to obtain and maintain Top Secret Clearance and Special Access Program (SAP) approval within a reasonable period of time, as determined by the company to meet its business needs. Proficient with Microsoft Office Suite and SharePoint. Understanding of DoD contracts and Contract Data Requirements List (CDRL) requirements. Preferred Qualifications Knowledge of configuration-management principles and best practices, including standards such as EIA-649-1, MIL-HDBK-61, and GEIA-859. Experience developing and maintaining program plans, process documentation, and configuration-management tools. Proficiency with configuration-management data tools such as Atlassian Jira, Confluence, and Tableau. Exceptional organizational, communication, and interpersonal skills with the ability to interface across all levels of the organization. Synovix, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, religious creed, gender, sexual orientation, gender identity, gender expression, transgender, pregnancy, marital status, national origin, ancestry, citizenship status, age, disability, protected Veteran Status, genetics or any other characteristics protected by applicable Federal, State, or Local Law.
L3Harris Technologies
Senior Specialist, Systems Engineer - Space Operations Instructor
L3Harris Technologies Palm Bay, Florida
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - Space Operations Instructor Job Code: 42899 Job Location: Palm Bay, Florida Job Schedule: 9/80 (Every Other Friday Off!) Job Description: L3Harris Technologies is seeking a Space Operations Instructor to support mission-critical national security space operations within the Surveillance System Enterprise. This position serves as a subject matter expert responsible for developing, coordinating, and delivering comprehensive training programs for operational and support personnel to ensure sustained mission readiness and mission effectiveness. The Space Operations Instructor directly supports the Southbound mission and contributes to the Space Warfighting Mission through curriculum development, operational analysis, lessons-learned integration, and readiness assessment activities. This role is responsible for preparing personnel to monitor, analyze, and assess mission performance; conduct Launch and Early Operations (LEOPS) training; support anomaly response and investigation training; and produce decision-support materials for customers. The selected candidate will operate in a dynamic, high-tempo environment and collaborate with Government and Contractor personnel to improve operational proficiency, strengthen mission resilience, and drive continuous improvement in training effectiveness across the enterprise. Essential Functions: • Conduct periodic reviews of operational and support training materials to ensure content accuracy, mission relevance, and alignment with current system configurations, procedures, and operational requirements. • Plan, schedule, coordinate, and deliver formal and informal classroom instruction, hands-on system training, and mission-focused training events for operators and support personnel. • Lead training meetings and participate in operations, update briefings, exercises, strategic planning sessions, and tool demonstrations to provide subject matter expertise and identify training impacts. • Provide hands-on instruction and performance-based training for operators, as required, to strengthen operational proficiency and mission readiness. • Maintain proficiency in operational systems, mission applications, and support tools developed and operated within the contract portfolio. • Develop and maintain training documentation, lesson materials, visual aids, job aids, and step-by-step instructional products, including annotated system screenshots and reference guides. • Remain current on developing system tools, software updates, operational changes, and new capabilities; update associated training products, checklists, and reference materials accordingly. • Support training team members by sharing system knowledge, mission context, and instructional best practices. • Assist in system integration, development, test, and transition activities by serving as a subject matter expert and user representative. • Contribute to lessons learned capture, readiness assessments, and continuous improvement initiatives to enhance training quality and operational effectiveness. • Support anomaly response and investigation training activities, including the development of instructional materials and operator guidance. • Develop training-related decision-support materials and operational reference products for internal and customer use. • Travel up to 10% in support of training delivery, customer coordination, mission activities, and program requirements. Qualifications: • Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. • Top Secret/SCI with SAP eligibility. • Minimum 3 years of experience with DoD Instructional Systems Design (ISD), technical training development, or equivalent instructional methodology. • Minimum 3 years of experience supporting Launch and Early Operations (LEOPS), space operations, satellite operations, or a related mission environment. Preferred Additional Skills: • Completion of an accredited instructor training course, military instructor course, or equivalent formal instructional certification. • Experience with Satellite Command and Control (Sat C2) operations. • Experience in national security space operations or other classified operational mission environments. • Experience supporting anomaly resolution, mission operations, or operator certification training. • Familiarity with operational readiness assessments, exercises, and mission rehearsal activities. • Experience developing training aids, job aids, lesson plans, and visual instructional materials for technical systems. • Prior experience supporting Government customers in an operational or mission support capacity. • Experience developing, maintaining, and delivering technical or operational training materials for mission personnel. • Ability to communicate complex technical and operational concepts effectively to both technical and non-technical audiences. • Experience working in a dynamic operational environment with evolving mission priorities and system updates. • Strong written and verbal communication skills, as well as the ability to collaborate across Government and Contractor teams. In compliance with pay transparency requirements, the salary range for this role in Florida is $92,500 to $171,500.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/23/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Systems Engineer - Space Operations Instructor Job Code: 42899 Job Location: Palm Bay, Florida Job Schedule: 9/80 (Every Other Friday Off!) Job Description: L3Harris Technologies is seeking a Space Operations Instructor to support mission-critical national security space operations within the Surveillance System Enterprise. This position serves as a subject matter expert responsible for developing, coordinating, and delivering comprehensive training programs for operational and support personnel to ensure sustained mission readiness and mission effectiveness. The Space Operations Instructor directly supports the Southbound mission and contributes to the Space Warfighting Mission through curriculum development, operational analysis, lessons-learned integration, and readiness assessment activities. This role is responsible for preparing personnel to monitor, analyze, and assess mission performance; conduct Launch and Early Operations (LEOPS) training; support anomaly response and investigation training; and produce decision-support materials for customers. The selected candidate will operate in a dynamic, high-tempo environment and collaborate with Government and Contractor personnel to improve operational proficiency, strengthen mission resilience, and drive continuous improvement in training effectiveness across the enterprise. Essential Functions: • Conduct periodic reviews of operational and support training materials to ensure content accuracy, mission relevance, and alignment with current system configurations, procedures, and operational requirements. • Plan, schedule, coordinate, and deliver formal and informal classroom instruction, hands-on system training, and mission-focused training events for operators and support personnel. • Lead training meetings and participate in operations, update briefings, exercises, strategic planning sessions, and tool demonstrations to provide subject matter expertise and identify training impacts. • Provide hands-on instruction and performance-based training for operators, as required, to strengthen operational proficiency and mission readiness. • Maintain proficiency in operational systems, mission applications, and support tools developed and operated within the contract portfolio. • Develop and maintain training documentation, lesson materials, visual aids, job aids, and step-by-step instructional products, including annotated system screenshots and reference guides. • Remain current on developing system tools, software updates, operational changes, and new capabilities; update associated training products, checklists, and reference materials accordingly. • Support training team members by sharing system knowledge, mission context, and instructional best practices. • Assist in system integration, development, test, and transition activities by serving as a subject matter expert and user representative. • Contribute to lessons learned capture, readiness assessments, and continuous improvement initiatives to enhance training quality and operational effectiveness. • Support anomaly response and investigation training activities, including the development of instructional materials and operator guidance. • Develop training-related decision-support materials and operational reference products for internal and customer use. • Travel up to 10% in support of training delivery, customer coordination, mission activities, and program requirements. Qualifications: • Bachelor's Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience. • Top Secret/SCI with SAP eligibility. • Minimum 3 years of experience with DoD Instructional Systems Design (ISD), technical training development, or equivalent instructional methodology. • Minimum 3 years of experience supporting Launch and Early Operations (LEOPS), space operations, satellite operations, or a related mission environment. Preferred Additional Skills: • Completion of an accredited instructor training course, military instructor course, or equivalent formal instructional certification. • Experience with Satellite Command and Control (Sat C2) operations. • Experience in national security space operations or other classified operational mission environments. • Experience supporting anomaly resolution, mission operations, or operator certification training. • Familiarity with operational readiness assessments, exercises, and mission rehearsal activities. • Experience developing training aids, job aids, lesson plans, and visual instructional materials for technical systems. • Prior experience supporting Government customers in an operational or mission support capacity. • Experience developing, maintaining, and delivering technical or operational training materials for mission personnel. • Ability to communicate complex technical and operational concepts effectively to both technical and non-technical audiences. • Experience working in a dynamic operational environment with evolving mission priorities and system updates. • Strong written and verbal communication skills, as well as the ability to collaborate across Government and Contractor teams. In compliance with pay transparency requirements, the salary range for this role in Florida is $92,500 to $171,500.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Senior Cloud Engineer
TrekFed Granger, Indiana
Job DescriptionJob DescriptionDescription: SUMMARY/OBJECTIVE OF THE JOB: The Senior Cloud Engineer is the expert implementer, building platforms and systems that are relied upon by our clients and TrekFed itself. DUTIES AND RESPONSIBILITIES: Evaluate libraries, tools, and services for suitability Own the implementation of stories and other engineering of advanced cloud work for clients Perform research and documentation for problems and potential solutions Use various frameworks and methodologies to fully qualify problems, pain points, and potential jeopardies Build on Cloud Native patterns, IoT back-ends, serverless architectures, and highly automated work patterns and delivery methods Be a technical team advocate, ensuring clear direction and efficient execution Augment and design support systems and response procedures and coordinate hand-off to Cloud Operations (CloudOps) Support Engineers Hands-on involvement in the development of projects. Enforces standards, procedures, and methodologies for the software development life cycle. Move easily between big picture thinking and managing relevant detail Participate in cross-functional implementation teams to deliver solutions to clients Prepare work for team members of varying levels of experience, defining stories and task type work Contribute to internal IP and open source development Participate in delivery efforts using Agile or other work methodologies Build relationships with vendors and partners Engage with clients including presentations, technical decisions, and education opportunities Learn, research, and stay up to date on best practices and evolutionary capability in the Amazon Web Services (AWS) cloud Share knowledge and skills with other TrekFed team members and client teams Write cool blog posts, do talks at community events, help us achieve additional certifications in the AWS Partner Community, help our clients solve all sorts of problems Occasional travel may be required to meet stakeholders, kick off new projects, attend conferences, and attend company functions. Other duties as assigned REQUIRED QUALIFICATIONS: Bachelor's degree in Information Technology, Computer Science, or a related field and 2 years of general IT experience (programming, hardware, software) or 4 years of general IT experience (programming, hardware, software) 3+ years of experience with Amazon Web Services 1+ year code-defined infrastructure experience 1+ Continuous Integration and Deliver (CI/CD) experience 3+ years of programming experience utilizing Python, Node.js, Typescript, GoLang, Java, C#, or other similar languages Have worked with Agile Project Management or other project management work methodologies Must be a U.S. Citizen Must be able to obtain and maintain a secret security clearance PREFERRED QUALIFICATIONS: Have an AWS Cloud Architect Associate, Sysops Associate, Developers Associate, DevOps Professional, and/or Solutions Architect Professional Certification Have an AWS Specialty Certification Intermediate experience building scalable, automated infrastructure Intermediate experience with AWS Lambda and "Serverless" systems Intermediate experience in large-scale enterprise IT environments Intermediate experience working in a consultative, client-facing consulting role Intermediate experience with Cloud Native patterns with services like AWS Lambda Able to demonstrate effective verbal and written communication skills Previous or current experience with Federal / Government stakeholders Intermediate experience with newer ATO strategies such as Fast Track or Continuous ATO Intermediate experience with VDI (Virtual Desktop Infrastructure) COMPETENCIES: Communication: The ability to effectively convey information, ideas, and instructions to individuals or groups, both verbally and in writing. Time Management: The ability to effectively plan and organize one's own time in order to meet deadlines, prioritize tasks, and make the most efficient use of time. Self-Management: The ability to manage one's own emotions, thoughts, and behavior in different situations. Building Work Relationships: The ability to establish and maintain positive and productive relationships with colleagues, clients, and other stakeholders. Problem Analysis: The ability to identify, understand, and analyze problems in order to find solutions. Technical expertise: The ability to understand, apply, and stay current with the knowledge, concepts, and practices in a specific field or industry. Planning: The ability to set goals, develop action plans, and effectively allocate resources in order to achieve desired outcomes. Requirements:
09/23/2026
Full time
Job DescriptionJob DescriptionDescription: SUMMARY/OBJECTIVE OF THE JOB: The Senior Cloud Engineer is the expert implementer, building platforms and systems that are relied upon by our clients and TrekFed itself. DUTIES AND RESPONSIBILITIES: Evaluate libraries, tools, and services for suitability Own the implementation of stories and other engineering of advanced cloud work for clients Perform research and documentation for problems and potential solutions Use various frameworks and methodologies to fully qualify problems, pain points, and potential jeopardies Build on Cloud Native patterns, IoT back-ends, serverless architectures, and highly automated work patterns and delivery methods Be a technical team advocate, ensuring clear direction and efficient execution Augment and design support systems and response procedures and coordinate hand-off to Cloud Operations (CloudOps) Support Engineers Hands-on involvement in the development of projects. Enforces standards, procedures, and methodologies for the software development life cycle. Move easily between big picture thinking and managing relevant detail Participate in cross-functional implementation teams to deliver solutions to clients Prepare work for team members of varying levels of experience, defining stories and task type work Contribute to internal IP and open source development Participate in delivery efforts using Agile or other work methodologies Build relationships with vendors and partners Engage with clients including presentations, technical decisions, and education opportunities Learn, research, and stay up to date on best practices and evolutionary capability in the Amazon Web Services (AWS) cloud Share knowledge and skills with other TrekFed team members and client teams Write cool blog posts, do talks at community events, help us achieve additional certifications in the AWS Partner Community, help our clients solve all sorts of problems Occasional travel may be required to meet stakeholders, kick off new projects, attend conferences, and attend company functions. Other duties as assigned REQUIRED QUALIFICATIONS: Bachelor's degree in Information Technology, Computer Science, or a related field and 2 years of general IT experience (programming, hardware, software) or 4 years of general IT experience (programming, hardware, software) 3+ years of experience with Amazon Web Services 1+ year code-defined infrastructure experience 1+ Continuous Integration and Deliver (CI/CD) experience 3+ years of programming experience utilizing Python, Node.js, Typescript, GoLang, Java, C#, or other similar languages Have worked with Agile Project Management or other project management work methodologies Must be a U.S. Citizen Must be able to obtain and maintain a secret security clearance PREFERRED QUALIFICATIONS: Have an AWS Cloud Architect Associate, Sysops Associate, Developers Associate, DevOps Professional, and/or Solutions Architect Professional Certification Have an AWS Specialty Certification Intermediate experience building scalable, automated infrastructure Intermediate experience with AWS Lambda and "Serverless" systems Intermediate experience in large-scale enterprise IT environments Intermediate experience working in a consultative, client-facing consulting role Intermediate experience with Cloud Native patterns with services like AWS Lambda Able to demonstrate effective verbal and written communication skills Previous or current experience with Federal / Government stakeholders Intermediate experience with newer ATO strategies such as Fast Track or Continuous ATO Intermediate experience with VDI (Virtual Desktop Infrastructure) COMPETENCIES: Communication: The ability to effectively convey information, ideas, and instructions to individuals or groups, both verbally and in writing. Time Management: The ability to effectively plan and organize one's own time in order to meet deadlines, prioritize tasks, and make the most efficient use of time. Self-Management: The ability to manage one's own emotions, thoughts, and behavior in different situations. Building Work Relationships: The ability to establish and maintain positive and productive relationships with colleagues, clients, and other stakeholders. Problem Analysis: The ability to identify, understand, and analyze problems in order to find solutions. Technical expertise: The ability to understand, apply, and stay current with the knowledge, concepts, and practices in a specific field or industry. Planning: The ability to set goals, develop action plans, and effectively allocate resources in order to achieve desired outcomes. Requirements:
Senior Cloud Engineer
TrekFed South Bend, Indiana
Job DescriptionJob DescriptionDescription: SUMMARY/OBJECTIVE OF THE JOB: The Senior Cloud Engineer is the expert implementer, building platforms and systems that are relied upon by our clients and TrekFed itself. DUTIES AND RESPONSIBILITIES: Evaluate libraries, tools, and services for suitability Own the implementation of stories and other engineering of advanced cloud work for clients Perform research and documentation for problems and potential solutions Use various frameworks and methodologies to fully qualify problems, pain points, and potential jeopardies Build on Cloud Native patterns, IoT back-ends, serverless architectures, and highly automated work patterns and delivery methods Be a technical team advocate, ensuring clear direction and efficient execution Augment and design support systems and response procedures and coordinate hand-off to Cloud Operations (CloudOps) Support Engineers Hands-on involvement in the development of projects. Enforces standards, procedures, and methodologies for the software development life cycle. Move easily between big picture thinking and managing relevant detail Participate in cross-functional implementation teams to deliver solutions to clients Prepare work for team members of varying levels of experience, defining stories and task type work Contribute to internal IP and open source development Participate in delivery efforts using Agile or other work methodologies Build relationships with vendors and partners Engage with clients including presentations, technical decisions, and education opportunities Learn, research, and stay up to date on best practices and evolutionary capability in the Amazon Web Services (AWS) cloud Share knowledge and skills with other TrekFed team members and client teams Write cool blog posts, do talks at community events, help us achieve additional certifications in the AWS Partner Community, help our clients solve all sorts of problems Occasional travel may be required to meet stakeholders, kick off new projects, attend conferences, and attend company functions. Other duties as assigned REQUIRED QUALIFICATIONS: Bachelor's degree in Information Technology, Computer Science, or a related field and 2 years of general IT experience (programming, hardware, software) or 4 years of general IT experience (programming, hardware, software) 3+ years of experience with Amazon Web Services 1+ year code-defined infrastructure experience 1+ Continuous Integration and Deliver (CI/CD) experience 3+ years of programming experience utilizing Python, Node.js, Typescript, GoLang, Java, C#, or other similar languages Have worked with Agile Project Management or other project management work methodologies Must be a U.S. Citizen Must be able to obtain and maintain a secret security clearance PREFERRED QUALIFICATIONS: Have an AWS Cloud Architect Associate, Sysops Associate, Developers Associate, DevOps Professional, and/or Solutions Architect Professional Certification Have an AWS Specialty Certification Intermediate experience building scalable, automated infrastructure Intermediate experience with AWS Lambda and "Serverless" systems Intermediate experience in large-scale enterprise IT environments Intermediate experience working in a consultative, client-facing consulting role Intermediate experience with Cloud Native patterns with services like AWS Lambda Able to demonstrate effective verbal and written communication skills Previous or current experience with Federal / Government stakeholders Intermediate experience with newer ATO strategies such as Fast Track or Continuous ATO Intermediate experience with VDI (Virtual Desktop Infrastructure) COMPETENCIES: Communication: The ability to effectively convey information, ideas, and instructions to individuals or groups, both verbally and in writing. Time Management: The ability to effectively plan and organize one's own time in order to meet deadlines, prioritize tasks, and make the most efficient use of time. Self-Management: The ability to manage one's own emotions, thoughts, and behavior in different situations. Building Work Relationships: The ability to establish and maintain positive and productive relationships with colleagues, clients, and other stakeholders. Problem Analysis: The ability to identify, understand, and analyze problems in order to find solutions. Technical expertise: The ability to understand, apply, and stay current with the knowledge, concepts, and practices in a specific field or industry. Planning: The ability to set goals, develop action plans, and effectively allocate resources in order to achieve desired outcomes. Requirements:
09/23/2026
Full time
Job DescriptionJob DescriptionDescription: SUMMARY/OBJECTIVE OF THE JOB: The Senior Cloud Engineer is the expert implementer, building platforms and systems that are relied upon by our clients and TrekFed itself. DUTIES AND RESPONSIBILITIES: Evaluate libraries, tools, and services for suitability Own the implementation of stories and other engineering of advanced cloud work for clients Perform research and documentation for problems and potential solutions Use various frameworks and methodologies to fully qualify problems, pain points, and potential jeopardies Build on Cloud Native patterns, IoT back-ends, serverless architectures, and highly automated work patterns and delivery methods Be a technical team advocate, ensuring clear direction and efficient execution Augment and design support systems and response procedures and coordinate hand-off to Cloud Operations (CloudOps) Support Engineers Hands-on involvement in the development of projects. Enforces standards, procedures, and methodologies for the software development life cycle. Move easily between big picture thinking and managing relevant detail Participate in cross-functional implementation teams to deliver solutions to clients Prepare work for team members of varying levels of experience, defining stories and task type work Contribute to internal IP and open source development Participate in delivery efforts using Agile or other work methodologies Build relationships with vendors and partners Engage with clients including presentations, technical decisions, and education opportunities Learn, research, and stay up to date on best practices and evolutionary capability in the Amazon Web Services (AWS) cloud Share knowledge and skills with other TrekFed team members and client teams Write cool blog posts, do talks at community events, help us achieve additional certifications in the AWS Partner Community, help our clients solve all sorts of problems Occasional travel may be required to meet stakeholders, kick off new projects, attend conferences, and attend company functions. Other duties as assigned REQUIRED QUALIFICATIONS: Bachelor's degree in Information Technology, Computer Science, or a related field and 2 years of general IT experience (programming, hardware, software) or 4 years of general IT experience (programming, hardware, software) 3+ years of experience with Amazon Web Services 1+ year code-defined infrastructure experience 1+ Continuous Integration and Deliver (CI/CD) experience 3+ years of programming experience utilizing Python, Node.js, Typescript, GoLang, Java, C#, or other similar languages Have worked with Agile Project Management or other project management work methodologies Must be a U.S. Citizen Must be able to obtain and maintain a secret security clearance PREFERRED QUALIFICATIONS: Have an AWS Cloud Architect Associate, Sysops Associate, Developers Associate, DevOps Professional, and/or Solutions Architect Professional Certification Have an AWS Specialty Certification Intermediate experience building scalable, automated infrastructure Intermediate experience with AWS Lambda and "Serverless" systems Intermediate experience in large-scale enterprise IT environments Intermediate experience working in a consultative, client-facing consulting role Intermediate experience with Cloud Native patterns with services like AWS Lambda Able to demonstrate effective verbal and written communication skills Previous or current experience with Federal / Government stakeholders Intermediate experience with newer ATO strategies such as Fast Track or Continuous ATO Intermediate experience with VDI (Virtual Desktop Infrastructure) COMPETENCIES: Communication: The ability to effectively convey information, ideas, and instructions to individuals or groups, both verbally and in writing. Time Management: The ability to effectively plan and organize one's own time in order to meet deadlines, prioritize tasks, and make the most efficient use of time. Self-Management: The ability to manage one's own emotions, thoughts, and behavior in different situations. Building Work Relationships: The ability to establish and maintain positive and productive relationships with colleagues, clients, and other stakeholders. Problem Analysis: The ability to identify, understand, and analyze problems in order to find solutions. Technical expertise: The ability to understand, apply, and stay current with the knowledge, concepts, and practices in a specific field or industry. Planning: The ability to set goals, develop action plans, and effectively allocate resources in order to achieve desired outcomes. Requirements:
Senior Hardware Engineer - $130000
OPUS IVS INC Dexter, Michigan
Description: Company Overview At Opus IVS, our mission is to drive advancement in the automotive industry by assisting customers with complex vehicle repairs. Guided by our core values of Customer Focus, Innovation, Collaboration & Teamwork, and a Results-Driven approach, we continually strive to develop advanced technology that empowers us to fulfill our mission. Opus IVS technology & products has been a leader in the industry since the late 90's. Opus IVS offers modern collision shops an integrated platform of leading diagnostics and calibration solutions, anchored by expert technicians and cutting edge, patented technology. Position Summary The Senior Hardware Engineer will help develop state of the art vehicle diagnostic equipment and communication devices. This individual will work directly with Opus IVS's various technology departments to develop world-class diagnostic tools that meet and exceed our customers' needs. Responsibilities: Develop new embedded automotive diagnostic pass-thru products (PC boards and firmware). Build diagnostic systems including PC hardware, vehicle communication hardware, and battery management hardware. Develop new products/devices, features, and improve quality for new and existing hardware, firmware, and software. Improve code quality through writing unit tests, automation and performing code reviews. Design and develop product and protocol validation tests. Build product tools using C, C++, & C#. Test new designs and find solutions to issues. Create test systems for the new products. Implement new vehicle protocols and create test suites to confirm their operation. Interface with customers to collect information on the performance of our products. Other duties as assigned. Skills & Abilities : Customer Focus: Ability to understand and respond to the needs of customers with professionalism and care. Innovation: Ability to generate and apply creative ideas that improve work processes or add value. Collaboration & Teamwork: Ability to build cooperative relationships and contribute to group success. Results Driven: Ability to maintain a strong focus on achieving goals and delivering impactful results. Technical Aptitude: Ability to understand and use specific tools, systems, or technologies relevant to the role. Detail Oriented: Ability to focus on details, ensuring accuracy and precision in work tasks. Analytical Thinking: Ability to examine data and issues logically to draw insightful conclusions. Requirements: Qualifications: Bachelor's Degree in Hardware Engineering or related field; or equivalent experience plus education/training 7+ years' experience in hardware design or development Experience developing products using the ARM family of processors Strong understanding of electronic design for EMC / EMI compliance Strong knowledge of hardware design and components including MPUs, UART, CAN, LIN, A/D, D/A converters, RAM/Flash memories, and other digital electronics Experience with designing processors, power supplies, communication, analog, and digital electronic circuits Strong knowledge and experience of C, C++, and C# programming languages Ability to debug electronic circuits Ability to solder surface mount components onto a PC board Has knowledge about OBD (On Board Diagnostics) Experience with batteries and battery maintenance circuits Familiar with the SAE J2534 specification Some experience with USB, Bluetooth, and Wi-Fi connections Knowledgeable of Automotive diagnostic protocols Familiarity with Jira and Confluence WHAT WE OFFER: Competitive Pay: We know your value and we're not afraid to pay for it. We offer a competitive total compensation plan including salary, bonuses, tuition reimbursement, and a match contribution to your 401k. Time Off: Besides our competitive paid time off package, employees receive paid holidays and floating holidays. Benefits: We offer a comprehensive benefits package, including all the necessities such as medical, dental, and vision. Opportunity: to be a part of a fast-growing company working to make the world safer! We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other characteristic protected by state, federal, or local law. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of the job, the employee is regularly required to use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; talk or hear. The employee frequently is required to stand, walk and sit. The employee is occasionally required to stoop, kneel, crouch or crawl. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and the ability to adjust focus. The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Compensation details: 00 Yearly Salary PI1a60726f76cb-0987
09/23/2026
Full time
Description: Company Overview At Opus IVS, our mission is to drive advancement in the automotive industry by assisting customers with complex vehicle repairs. Guided by our core values of Customer Focus, Innovation, Collaboration & Teamwork, and a Results-Driven approach, we continually strive to develop advanced technology that empowers us to fulfill our mission. Opus IVS technology & products has been a leader in the industry since the late 90's. Opus IVS offers modern collision shops an integrated platform of leading diagnostics and calibration solutions, anchored by expert technicians and cutting edge, patented technology. Position Summary The Senior Hardware Engineer will help develop state of the art vehicle diagnostic equipment and communication devices. This individual will work directly with Opus IVS's various technology departments to develop world-class diagnostic tools that meet and exceed our customers' needs. Responsibilities: Develop new embedded automotive diagnostic pass-thru products (PC boards and firmware). Build diagnostic systems including PC hardware, vehicle communication hardware, and battery management hardware. Develop new products/devices, features, and improve quality for new and existing hardware, firmware, and software. Improve code quality through writing unit tests, automation and performing code reviews. Design and develop product and protocol validation tests. Build product tools using C, C++, & C#. Test new designs and find solutions to issues. Create test systems for the new products. Implement new vehicle protocols and create test suites to confirm their operation. Interface with customers to collect information on the performance of our products. Other duties as assigned. Skills & Abilities : Customer Focus: Ability to understand and respond to the needs of customers with professionalism and care. Innovation: Ability to generate and apply creative ideas that improve work processes or add value. Collaboration & Teamwork: Ability to build cooperative relationships and contribute to group success. Results Driven: Ability to maintain a strong focus on achieving goals and delivering impactful results. Technical Aptitude: Ability to understand and use specific tools, systems, or technologies relevant to the role. Detail Oriented: Ability to focus on details, ensuring accuracy and precision in work tasks. Analytical Thinking: Ability to examine data and issues logically to draw insightful conclusions. Requirements: Qualifications: Bachelor's Degree in Hardware Engineering or related field; or equivalent experience plus education/training 7+ years' experience in hardware design or development Experience developing products using the ARM family of processors Strong understanding of electronic design for EMC / EMI compliance Strong knowledge of hardware design and components including MPUs, UART, CAN, LIN, A/D, D/A converters, RAM/Flash memories, and other digital electronics Experience with designing processors, power supplies, communication, analog, and digital electronic circuits Strong knowledge and experience of C, C++, and C# programming languages Ability to debug electronic circuits Ability to solder surface mount components onto a PC board Has knowledge about OBD (On Board Diagnostics) Experience with batteries and battery maintenance circuits Familiar with the SAE J2534 specification Some experience with USB, Bluetooth, and Wi-Fi connections Knowledgeable of Automotive diagnostic protocols Familiarity with Jira and Confluence WHAT WE OFFER: Competitive Pay: We know your value and we're not afraid to pay for it. We offer a competitive total compensation plan including salary, bonuses, tuition reimbursement, and a match contribution to your 401k. Time Off: Besides our competitive paid time off package, employees receive paid holidays and floating holidays. Benefits: We offer a comprehensive benefits package, including all the necessities such as medical, dental, and vision. Opportunity: to be a part of a fast-growing company working to make the world safer! We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, disability status or any other characteristic protected by state, federal, or local law. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of the job, the employee is regularly required to use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; talk or hear. The employee frequently is required to stand, walk and sit. The employee is occasionally required to stoop, kneel, crouch or crawl. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and the ability to adjust focus. The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. Compensation details: 00 Yearly Salary PI1a60726f76cb-0987
Senior Data Product Engineer, Commercial and Medical Affairs Data Products
Genmab Princeton, New Jersey
At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! We are looking for a Senior Data Product Engineer with deep expertise in DBT, Databricks, Snowflake, Power BI/Tableau, Airflow and AWS, who can architect and implement scalable, reliable, and high-performance data products. This role will require strong technical skills across data modeling, distributed data processing, ELT pipeline development, and dashboarding, with an emphasis on automation, observability, and engineering best practices supporting our US and Global commercial data warehouse. You will be expected to design and deliver production-grade data pipelines and models, optimize query, and compute performance, and expose data to end users through well-structured semantic layers and dashboards. The ideal candidate is conceptually strong in modern data architectures and principles, capable of adapting across tools rather than being limited by them and operate as a hands-on technical lead, defining frameworks, making architectural decisions, and guiding implementation patterns across dbt, Snowflake, Databricks and BI platforms. The ideal candidate works successfully across Commercial functions to define, document, test and implement data products delivering functional requirements and impactful data products. The ideal candidate should have familiarity with commercial data sets like IQVIA One Key, Veeva Open Data, Life Science Cloud, Veeva CRM, 3PL data, Claims Data, Digital, Omnichannel and Precision lab data. Work arrangement: This role offers flexibility to work away from the office for 20%-40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager. Core Responsibilities Data Engineering & Architecture Architect and implement end-to-end ELT workflows with DBT (core and Cloud), ensuring modular, testable, and reusable transformations. Build high-performance data pipelines in Snowflake and Databricks (PySpark, Delta Lake, Unity Catalog) for batch and streaming workloads. Orchestration using Apache Airflow and Amazon tools. Engineer scalable data ingestion pipelines into AWS (S3, Kinesis, Glue, Lambda, Step Functions, Airflow) with strong monitoring and fault tolerance. Ensure observability, cost efficiency & scalability in all pipeline and compute designs. Data Modeling, Governance, Security and Compliance Design normalized and star-schema models for analytical workloads, following dbt's best practices and software engineering principles. Implement data quality testing frameworks (dbt tests, Great Expectations, or custom validations) with automated CI/CD integration. Manage data versioning, lineage, and governance through tools such as Unity Catalog and AWS Lake Formation. Ensure data lineage, cataloging, and metadata management are maintained. Apply GDPR, LGPD, and other Data Privacy / Compliance rules and compliance standards. Support audits, documentation, and validation activities. Analytics Enablement & Dashboards Develop semantic data layers that support self-service analytics across BI tools (Tableau, Power BI etc.). Partner with analysts and data scientists to optimize queries and deliver production-ready datasets. Manage ingestion and harmonization of commercial datasets such as: o HCP/HCO master data (IQVIA and Veeva) o Sales and distribution data (852,867, 3PL and Country specific market or sales data) o Omnichannel engagement (email, rep-triggered, web, events) o CRM activity data (Veeva, Life Science Cloud) o Market research and syndicated data (IQVIA, etc.) o Support data pipelines used for incentive compensation, field force effectiveness, and brand performance analytics. Platform Engineering & Automation Automate deployment pipelines with CI/CD (GitHub Actions, GitLab CI, or AWS CodePipeline) for dbt and Databricks. Implement infrastructure-as-code (IaaC) for reproducibility (Terraform, CloudFormation). Ensure system reliability through observability and monitoring (Datadog, CloudWatch, Prometheus, or similar). Benchmark and optimize SQL, Python, Spark, and BI query performance at scale. Collaboration & Stakeholder Support Partner with Data Scientists, Commercial Analysts, and Business Partners to translate business needs into technical solutions. Work closely with IT, Compliance, and Data Privacy teams to ensure complaint data handling. Provide technical guidance on data availability, feasibility, and best practices. Required Qualifications 5+ years in data engineering, analytics engineering, or data platform development. Expert-level proficiency in: o DBT: advanced macros, Jinja, testing, exposures, dbt Cloud deployment. o Databricks: Spark (PySpark, SQL), Delta Lake, Unity Catalog. o Snowflake o AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals. o Data Visualization: Power BI or Tableau. Strong programming background in Python and SQL (including query optimization). Proven experience with distributed systems and large-scale datasets (GB-TB scale). Experience implementing CI/CD pipelines, data testing, and infrastructure as code. Solid understanding of data governance, security, and compliance in enterprise environments. Why This Role? Working as a Data Engineer in an oncology company means your work directly supports the people who need it most-patients facing one of the most difficult diagnoses of their lives. Every pipeline you build, every dataset you harmonize, and every insight you enable helps accelerate how quickly life changing therapies reach the right patients at the right time. You get to solve challenging engineering problems while contributing to something bigger than technology. You're not just optimizing pipelines-you're helping ensure that a patient gets diagnosed earlier, a doctor receives better information, or a family gains access to a therapy that gives them more time together. You will work at the intersection of modern data engineering and analytics product development, solving challenges of scale, performance, and usability. This role is ideal for someone who thrives in a hands-on engineering environment and wants to build the technical foundation for data-driven decision-making across the organization. For US based candidates, the proposed salary band for this position is as follows: $132,720.00 $199,080.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses Further details on eligibility for compensation and benefits based on role will be provided during the recruitment process About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999 . click apply for full job details
09/23/2026
Full time
At Genmab, we are dedicated to building extra not ordinary futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! We are looking for a Senior Data Product Engineer with deep expertise in DBT, Databricks, Snowflake, Power BI/Tableau, Airflow and AWS, who can architect and implement scalable, reliable, and high-performance data products. This role will require strong technical skills across data modeling, distributed data processing, ELT pipeline development, and dashboarding, with an emphasis on automation, observability, and engineering best practices supporting our US and Global commercial data warehouse. You will be expected to design and deliver production-grade data pipelines and models, optimize query, and compute performance, and expose data to end users through well-structured semantic layers and dashboards. The ideal candidate is conceptually strong in modern data architectures and principles, capable of adapting across tools rather than being limited by them and operate as a hands-on technical lead, defining frameworks, making architectural decisions, and guiding implementation patterns across dbt, Snowflake, Databricks and BI platforms. The ideal candidate works successfully across Commercial functions to define, document, test and implement data products delivering functional requirements and impactful data products. The ideal candidate should have familiarity with commercial data sets like IQVIA One Key, Veeva Open Data, Life Science Cloud, Veeva CRM, 3PL data, Claims Data, Digital, Omnichannel and Precision lab data. Work arrangement: This role offers flexibility to work away from the office for 20%-40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager. Core Responsibilities Data Engineering & Architecture Architect and implement end-to-end ELT workflows with DBT (core and Cloud), ensuring modular, testable, and reusable transformations. Build high-performance data pipelines in Snowflake and Databricks (PySpark, Delta Lake, Unity Catalog) for batch and streaming workloads. Orchestration using Apache Airflow and Amazon tools. Engineer scalable data ingestion pipelines into AWS (S3, Kinesis, Glue, Lambda, Step Functions, Airflow) with strong monitoring and fault tolerance. Ensure observability, cost efficiency & scalability in all pipeline and compute designs. Data Modeling, Governance, Security and Compliance Design normalized and star-schema models for analytical workloads, following dbt's best practices and software engineering principles. Implement data quality testing frameworks (dbt tests, Great Expectations, or custom validations) with automated CI/CD integration. Manage data versioning, lineage, and governance through tools such as Unity Catalog and AWS Lake Formation. Ensure data lineage, cataloging, and metadata management are maintained. Apply GDPR, LGPD, and other Data Privacy / Compliance rules and compliance standards. Support audits, documentation, and validation activities. Analytics Enablement & Dashboards Develop semantic data layers that support self-service analytics across BI tools (Tableau, Power BI etc.). Partner with analysts and data scientists to optimize queries and deliver production-ready datasets. Manage ingestion and harmonization of commercial datasets such as: o HCP/HCO master data (IQVIA and Veeva) o Sales and distribution data (852,867, 3PL and Country specific market or sales data) o Omnichannel engagement (email, rep-triggered, web, events) o CRM activity data (Veeva, Life Science Cloud) o Market research and syndicated data (IQVIA, etc.) o Support data pipelines used for incentive compensation, field force effectiveness, and brand performance analytics. Platform Engineering & Automation Automate deployment pipelines with CI/CD (GitHub Actions, GitLab CI, or AWS CodePipeline) for dbt and Databricks. Implement infrastructure-as-code (IaaC) for reproducibility (Terraform, CloudFormation). Ensure system reliability through observability and monitoring (Datadog, CloudWatch, Prometheus, or similar). Benchmark and optimize SQL, Python, Spark, and BI query performance at scale. Collaboration & Stakeholder Support Partner with Data Scientists, Commercial Analysts, and Business Partners to translate business needs into technical solutions. Work closely with IT, Compliance, and Data Privacy teams to ensure complaint data handling. Provide technical guidance on data availability, feasibility, and best practices. Required Qualifications 5+ years in data engineering, analytics engineering, or data platform development. Expert-level proficiency in: o DBT: advanced macros, Jinja, testing, exposures, dbt Cloud deployment. o Databricks: Spark (PySpark, SQL), Delta Lake, Unity Catalog. o Snowflake o AWS: S3, Glue, Lambda, Step Functions, Datasync, EMR, Redshift, IAM and networking/security fundamentals. o Data Visualization: Power BI or Tableau. Strong programming background in Python and SQL (including query optimization). Proven experience with distributed systems and large-scale datasets (GB-TB scale). Experience implementing CI/CD pipelines, data testing, and infrastructure as code. Solid understanding of data governance, security, and compliance in enterprise environments. Why This Role? Working as a Data Engineer in an oncology company means your work directly supports the people who need it most-patients facing one of the most difficult diagnoses of their lives. Every pipeline you build, every dataset you harmonize, and every insight you enable helps accelerate how quickly life changing therapies reach the right patients at the right time. You get to solve challenging engineering problems while contributing to something bigger than technology. You're not just optimizing pipelines-you're helping ensure that a patient gets diagnosed earlier, a doctor receives better information, or a family gains access to a therapy that gives them more time together. You will work at the intersection of modern data engineering and analytics product development, solving challenges of scale, performance, and usability. This role is ideal for someone who thrives in a hands-on engineering environment and wants to build the technical foundation for data-driven decision-making across the organization. For US based candidates, the proposed salary band for this position is as follows: $132,720.00 $199,080.00 The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Also, certain positions are eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. When you join Genmab, you're joining a culture that supports your physical, financial, social, and emotional wellness. Within the first year, regular full-time U.S. employees are eligible for: 401(k) Plan: 100% match on the first 6% of contributions Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance Voluntary Plans: Critical illness, accident, and hospital indemnity insurance Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses Further details on eligibility for compensation and benefits based on role will be provided during the recruitment process About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab's vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO ) antibody medicines. Established in 1999 . click apply for full job details
Technical Project Manager, Product Development & Testing
Noble Biomaterials Scranton, Pennsylvania
Join a Team That Makes a Difference! At Noble, the work you do matters. We manufacture innovative products that support the military, advance the medical field, and improve everyday life. Whether it's enhancing safety, enabling critical care, or solving real-world challenges, our solutions help people when it matters most. Be part of a purpose-driven team where your skills contribute to meaningful change. Due to continued rapid growth, Noble Biomaterials, Inc. is seeking a highly organized and detail-oriented Technical Project Manager to join our team. This role will support product development and testing activities across our antimicrobial, wellness, and conductive materials businesses. Serve as the central coordinator for multiple development projects, helping teams stay on track while managing testing, certifications, documentation, purchasing, and supplier relationships. The ideal candidate enjoys both project coordination and technical problem-solving and can successfully manage multiple priorities in a fast-paced environment. What You'll Get: Starting Pay: $64,700-84,000 annual salary. Based on experience. Weekly Pay - Get Paid Every Thursday! Full Benefits Starting the 1st of the Month After Hire! Medical, Dental, Vision $2,000-$4,000 Health Reimbursement Account (HRA) An account that is funded by the company to cover a portion of the in-network deductible for you and your family. (debit card) Company-Paid Life, Short & Long-Term Disability FSA, Voluntary Insurance Options 401(k) + Company Match (after 6 months) 11 Paid Holidays + PTO What You'll Do: Project Management & Coordination Track project progress, actions, and timelines across multiple development programs. Coordinate activities between R&D, Operations, Finance, Sales, suppliers, and testing laboratories. Gather information, identify issues, and recommend solutions. Support material sourcing, bills of materials, and cost analysis. Take ownership of assigned product development projects. Product Testing & Documentation Coordinate and manage product testing with external laboratories. Support antimicrobial and conductive performance testing programs. Maintain certification records, test reports, and technical documentation. Manage product samples and ensure projects move efficiently through development. Review test results and identify potential concerns related to product claims or requirements. Budget & Purchasing Support management of R&D testing budgets. Process purchases and coordinate vendor payments with Finance. Track spending and maintain accurate records. Qualifications: Required 3+ years of professional experience in project coordination, product development, testing, operations, or a related field. Proven ability to manage multiple projects and follow through on commitments. Strong organizational skills and attention to detail. Excellent communication and relationship-building skills. Ability to work cross-functionally and influence outcomes without direct authority. Strong analytical and Microsoft Excel skills. Ability to adapt to changing priorities and business needs. Preferred Bachelor's degree in a technical, scientific, engineering, or related field. Experience working with testing laboratories or product certification programs. Product development or commercialization experience. Familiarity with ASTM, ISO, or AATCC testing standards. Knowledge of textiles, antimicrobial technologies, conductive materials, or related industries. Experience with ISO 9001 and/or ISO/IEC 17025 quality systems. What We Offer Opportunity to work directly with senior R&D leadership. Broad exposure to product development, testing, and commercialization activities. Technical training and development opportunities. Visible impact within a growing, innovation-focused organization. What Success Looks Like In your first year, you will: Independently coordinate testing, documentation, and project activities. Maintain accurate project status and proactively drive follow-up actions. Provide well-researched recommendations and solutions. Manage budgets and purchasing processes effectively. Successfully lead assigned development projects with minimal oversight. Ready to Join a Team That Invests in You? Apply today and take the next step in your manufacturing career with a company that values its employees and offers weekly pay and benefits that start right away! Equal Opportunity Employer/Veterans/Disabled Compensation details: 0 Yearly Salary PI2a363eef83f1-7286
09/23/2026
Full time
Join a Team That Makes a Difference! At Noble, the work you do matters. We manufacture innovative products that support the military, advance the medical field, and improve everyday life. Whether it's enhancing safety, enabling critical care, or solving real-world challenges, our solutions help people when it matters most. Be part of a purpose-driven team where your skills contribute to meaningful change. Due to continued rapid growth, Noble Biomaterials, Inc. is seeking a highly organized and detail-oriented Technical Project Manager to join our team. This role will support product development and testing activities across our antimicrobial, wellness, and conductive materials businesses. Serve as the central coordinator for multiple development projects, helping teams stay on track while managing testing, certifications, documentation, purchasing, and supplier relationships. The ideal candidate enjoys both project coordination and technical problem-solving and can successfully manage multiple priorities in a fast-paced environment. What You'll Get: Starting Pay: $64,700-84,000 annual salary. Based on experience. Weekly Pay - Get Paid Every Thursday! Full Benefits Starting the 1st of the Month After Hire! Medical, Dental, Vision $2,000-$4,000 Health Reimbursement Account (HRA) An account that is funded by the company to cover a portion of the in-network deductible for you and your family. (debit card) Company-Paid Life, Short & Long-Term Disability FSA, Voluntary Insurance Options 401(k) + Company Match (after 6 months) 11 Paid Holidays + PTO What You'll Do: Project Management & Coordination Track project progress, actions, and timelines across multiple development programs. Coordinate activities between R&D, Operations, Finance, Sales, suppliers, and testing laboratories. Gather information, identify issues, and recommend solutions. Support material sourcing, bills of materials, and cost analysis. Take ownership of assigned product development projects. Product Testing & Documentation Coordinate and manage product testing with external laboratories. Support antimicrobial and conductive performance testing programs. Maintain certification records, test reports, and technical documentation. Manage product samples and ensure projects move efficiently through development. Review test results and identify potential concerns related to product claims or requirements. Budget & Purchasing Support management of R&D testing budgets. Process purchases and coordinate vendor payments with Finance. Track spending and maintain accurate records. Qualifications: Required 3+ years of professional experience in project coordination, product development, testing, operations, or a related field. Proven ability to manage multiple projects and follow through on commitments. Strong organizational skills and attention to detail. Excellent communication and relationship-building skills. Ability to work cross-functionally and influence outcomes without direct authority. Strong analytical and Microsoft Excel skills. Ability to adapt to changing priorities and business needs. Preferred Bachelor's degree in a technical, scientific, engineering, or related field. Experience working with testing laboratories or product certification programs. Product development or commercialization experience. Familiarity with ASTM, ISO, or AATCC testing standards. Knowledge of textiles, antimicrobial technologies, conductive materials, or related industries. Experience with ISO 9001 and/or ISO/IEC 17025 quality systems. What We Offer Opportunity to work directly with senior R&D leadership. Broad exposure to product development, testing, and commercialization activities. Technical training and development opportunities. Visible impact within a growing, innovation-focused organization. What Success Looks Like In your first year, you will: Independently coordinate testing, documentation, and project activities. Maintain accurate project status and proactively drive follow-up actions. Provide well-researched recommendations and solutions. Manage budgets and purchasing processes effectively. Successfully lead assigned development projects with minimal oversight. Ready to Join a Team That Invests in You? Apply today and take the next step in your manufacturing career with a company that values its employees and offers weekly pay and benefits that start right away! Equal Opportunity Employer/Veterans/Disabled Compensation details: 0 Yearly Salary PI2a363eef83f1-7286
Senior Product Manager - Technical, External Services, AWS Billing
Amazon Web Services, Inc. New York, New York
We're rebuilding the AWS product catalog for an AI-native world, and this role owns both how it's defined and how it grows. You'll set the standards every AWS product follows and define the new features, packages, and add-ons that service teams bring to customers, building the machine-readable foundation that billing, cost management, and AI agents all depend on. The AWS Billing organization serves over 200 AWS services across 30+ regions, and every one needs a product definition that is structurally correct, consistently described, and rich enough for both humans and AI to reason about. This is the foundation for commercial decisions made by external customers and internal teams. As Senior Product Manager - Technical External Services, you'll own the AWS product model end to end: the schema, governance rules, and quality standards every product conforms to, and the new product structures service teams build on top of them. You'll define what attributes a product carries from creation, how to create standard models for different types of services (from compute and storage to AI inference and developer tools), how products relate to and compose with one another in packages and shared commercial experiences, and how the catalog enables AI agents to discover, compare, and act on products programmatically. You'll also extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration rather than custom engineering. Your work directly determines how AWS services launch and grow their products. In this role, you'll architect the data model that underlies AWS commerce, define the governance framework that enforces it across hundreds of service teams, and establish the lifecycle and relationship standards that let products evolve and work consistently across commercial channels. You'll conduct direct research with service teams and internal consumers of product data to understand where definitions break down, translating those insights into schema improvements and governance rules. You'll work at the intersection of data architecture, billing infrastructure, and AI-native product design, defining how AWS products present themselves to the next generation of consumers. You'll collaborate with engineering teams across AWS's billing, metering, and cost management organizations. This role requires deep technical fluency in data modeling, schema design, and systems thinking, combined with the product instinct to know which standards matter and which create bureaucracy. If you're excited about defining the foundational data layer that makes AWS's commerce systems work this role offers the chance to shape how every AWS product is defined, described, and used across AWS commerce. Key job responsibilities - Define product framework: schema, required attributes, quality rules, and lifecycle governance for every AWS product - Define standard product models and product-relationship patterns for different service categories - Extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration - Architect agent-readable product metadata standards for AI consumption across internal and external experiences - Drive adoption of product standards across new offerings and established catalog systems - Conduct direct research with service teams and product data consumers to identify where definitions break down and drive improvements - Partner with engineering teams across AWS's billing, metering, and cost management organizations BASIC QUALIFICATIONS - 3+ years of working as a Technical Product Manager experience - Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Bachelor's degree in computer science, engineering, math, finance, or economics PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies - 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - Experience developing, deploying and managing AI products at scale - Experience with billing, commerce, or catalog systems - Experience building or designing agentic products and interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 167 500.00 USD annually
09/23/2026
Full time
We're rebuilding the AWS product catalog for an AI-native world, and this role owns both how it's defined and how it grows. You'll set the standards every AWS product follows and define the new features, packages, and add-ons that service teams bring to customers, building the machine-readable foundation that billing, cost management, and AI agents all depend on. The AWS Billing organization serves over 200 AWS services across 30+ regions, and every one needs a product definition that is structurally correct, consistently described, and rich enough for both humans and AI to reason about. This is the foundation for commercial decisions made by external customers and internal teams. As Senior Product Manager - Technical External Services, you'll own the AWS product model end to end: the schema, governance rules, and quality standards every product conforms to, and the new product structures service teams build on top of them. You'll define what attributes a product carries from creation, how to create standard models for different types of services (from compute and storage to AI inference and developer tools), how products relate to and compose with one another in packages and shared commercial experiences, and how the catalog enables AI agents to discover, compare, and act on products programmatically. You'll also extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration rather than custom engineering. Your work directly determines how AWS services launch and grow their products. In this role, you'll architect the data model that underlies AWS commerce, define the governance framework that enforces it across hundreds of service teams, and establish the lifecycle and relationship standards that let products evolve and work consistently across commercial channels. You'll conduct direct research with service teams and internal consumers of product data to understand where definitions break down, translating those insights into schema improvements and governance rules. You'll work at the intersection of data architecture, billing infrastructure, and AI-native product design, defining how AWS products present themselves to the next generation of consumers. You'll collaborate with engineering teams across AWS's billing, metering, and cost management organizations. This role requires deep technical fluency in data modeling, schema design, and systems thinking, combined with the product instinct to know which standards matter and which create bureaucracy. If you're excited about defining the foundational data layer that makes AWS's commerce systems work this role offers the chance to shape how every AWS product is defined, described, and used across AWS commerce. Key job responsibilities - Define product framework: schema, required attributes, quality rules, and lifecycle governance for every AWS product - Define standard product models and product-relationship patterns for different service categories - Extend the catalog with new product features, packages, and add-ons that service teams can adopt through configuration - Architect agent-readable product metadata standards for AI consumption across internal and external experiences - Drive adoption of product standards across new offerings and established catalog systems - Conduct direct research with service teams and product data consumers to identify where definitions break down and drive improvements - Partner with engineering teams across AWS's billing, metering, and cost management organizations BASIC QUALIFICATIONS - 3+ years of working as a Technical Product Manager experience - Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Bachelor's degree in computer science, engineering, math, finance, or economics PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies - 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - Experience developing, deploying and managing AI products at scale - Experience with billing, commerce, or catalog systems - Experience building or designing agentic products and interfaces Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 167 500.00 USD annually
CapGemini
Oracle Simphony - Inventory Management - Workstream Lead
CapGemini Cincinnati, Ohio
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking an experienced Oracle Simphony Inventory Lead to play a key role in a large-scale, multi-unit restaurant transformation program. In this role, you will lead the design, configuration, and rollout of Simphony Inventory capabilities, helping restaurant operators gain greater visibility into inventory, recipe costing, food preparation, and cost of goods sold (COGS) across enterprise operations. As a lead within the program, you will drive global solution design sessions, partnering closely with business, culinary, and operations teams to translate complex restaurant requirements into scalable technology solutions. You will own the Simphony Inventory workstream from planning and backlog management through solution delivery, ensuring alignment between operational objectives and system capabilities. The ideal candidate brings deep expertise in restaurant back-of-house (BOH) processes, including ingredient management, recipe costing, yields, production planning, receiving, inventory counts, and waste management. You will also oversee integrations between Oracle MICROS Simphony, Oracle Fusion ERP, Oracle Retail, and enterprise analytics platforms, helping enable data-driven decision-making across restaurant operations. Your Role Own the Simphony Inventory workstream: planning, backlog definition, story refinement, sprint execution, and readiness. Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste. Translate culinary and operations needs into user stories and configuration requirements. Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms. Lead configuration, testing, and pilot/wave deployments across restaurants. Validate recipe costs, ingredient yields, and cost rollups during pilots and rollout. Partner with Operations, Culinary, Finance, and Supply Chain on deployment, training, and adoption. Support controls, variance reduction, and continuous improvement of inventory and costing processes. Lead the design, configuration, and rollout of Simphony Inventory across multi-unit restaurants program implementing Oracle MICROS Symphony Experience leading Global solution design sessions for solution around ingredient level inventory, recipe costing, prep workflows, and COGS visibility across restaurant operations. Own the Simphony Inventory workstream: planning, backlog definition, story refinement, Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste Translate culinary and operations needs into user stories and configuration requirements Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms Your Skill and Experience 3 to 5 years years in restaurant/QSR technology (inventory, POS, menu/recipe systems). Hands-on expertise with Simphony Inventory and recipe costing. Strong BOH process knowledge (prep, receiving, counts, modifiers, waste). 3+ years delivering in Agile/SAFe environments. Experience integrating POS with ERP and financial systems. Multi-unit restaurant rollout experience. Familiarity with Oracle Fusion ERP or Oracle Retail. Understanding of cost accounting, COGS, yield management, and kitchen operations. Experience with API/middleware platforms (e.g., OIC, MuleSoft, Boomi). The base compensation range for this role in the posted location is $ 73,150- $ 193,440 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/23/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking an experienced Oracle Simphony Inventory Lead to play a key role in a large-scale, multi-unit restaurant transformation program. In this role, you will lead the design, configuration, and rollout of Simphony Inventory capabilities, helping restaurant operators gain greater visibility into inventory, recipe costing, food preparation, and cost of goods sold (COGS) across enterprise operations. As a lead within the program, you will drive global solution design sessions, partnering closely with business, culinary, and operations teams to translate complex restaurant requirements into scalable technology solutions. You will own the Simphony Inventory workstream from planning and backlog management through solution delivery, ensuring alignment between operational objectives and system capabilities. The ideal candidate brings deep expertise in restaurant back-of-house (BOH) processes, including ingredient management, recipe costing, yields, production planning, receiving, inventory counts, and waste management. You will also oversee integrations between Oracle MICROS Simphony, Oracle Fusion ERP, Oracle Retail, and enterprise analytics platforms, helping enable data-driven decision-making across restaurant operations. Your Role Own the Simphony Inventory workstream: planning, backlog definition, story refinement, sprint execution, and readiness. Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste. Translate culinary and operations needs into user stories and configuration requirements. Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms. Lead configuration, testing, and pilot/wave deployments across restaurants. Validate recipe costs, ingredient yields, and cost rollups during pilots and rollout. Partner with Operations, Culinary, Finance, and Supply Chain on deployment, training, and adoption. Support controls, variance reduction, and continuous improvement of inventory and costing processes. Lead the design, configuration, and rollout of Simphony Inventory across multi-unit restaurants program implementing Oracle MICROS Symphony Experience leading Global solution design sessions for solution around ingredient level inventory, recipe costing, prep workflows, and COGS visibility across restaurant operations. Own the Simphony Inventory workstream: planning, backlog definition, story refinement, Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste Translate culinary and operations needs into user stories and configuration requirements Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms Your Skill and Experience 3 to 5 years years in restaurant/QSR technology (inventory, POS, menu/recipe systems). Hands-on expertise with Simphony Inventory and recipe costing. Strong BOH process knowledge (prep, receiving, counts, modifiers, waste). 3+ years delivering in Agile/SAFe environments. Experience integrating POS with ERP and financial systems. Multi-unit restaurant rollout experience. Familiarity with Oracle Fusion ERP or Oracle Retail. Understanding of cost accounting, COGS, yield management, and kitchen operations. Experience with API/middleware platforms (e.g., OIC, MuleSoft, Boomi). The base compensation range for this role in the posted location is $ 73,150- $ 193,440 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
CapGemini
Oracle Simphony - Inventory Management - Workstream Lead
CapGemini Dallas, Texas
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking an experienced Oracle Simphony Inventory Lead to play a key role in a large-scale, multi-unit restaurant transformation program. In this role, you will lead the design, configuration, and rollout of Simphony Inventory capabilities, helping restaurant operators gain greater visibility into inventory, recipe costing, food preparation, and cost of goods sold (COGS) across enterprise operations. As a lead within the program, you will drive global solution design sessions, partnering closely with business, culinary, and operations teams to translate complex restaurant requirements into scalable technology solutions. You will own the Simphony Inventory workstream from planning and backlog management through solution delivery, ensuring alignment between operational objectives and system capabilities. The ideal candidate brings deep expertise in restaurant back-of-house (BOH) processes, including ingredient management, recipe costing, yields, production planning, receiving, inventory counts, and waste management. You will also oversee integrations between Oracle MICROS Simphony, Oracle Fusion ERP, Oracle Retail, and enterprise analytics platforms, helping enable data-driven decision-making across restaurant operations. Your Role Own the Simphony Inventory workstream: planning, backlog definition, story refinement, sprint execution, and readiness. Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste. Translate culinary and operations needs into user stories and configuration requirements. Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms. Lead configuration, testing, and pilot/wave deployments across restaurants. Validate recipe costs, ingredient yields, and cost rollups during pilots and rollout. Partner with Operations, Culinary, Finance, and Supply Chain on deployment, training, and adoption. Support controls, variance reduction, and continuous improvement of inventory and costing processes. Lead the design, configuration, and rollout of Simphony Inventory across multi-unit restaurants program implementing Oracle MICROS Symphony Experience leading Global solution design sessions for solution around ingredient level inventory, recipe costing, prep workflows, and COGS visibility across restaurant operations. Own the Simphony Inventory workstream: planning, backlog definition, story refinement, Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste Translate culinary and operations needs into user stories and configuration requirements Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms Your Skill and Experience 3 to 5 years years in restaurant/QSR technology (inventory, POS, menu/recipe systems). Hands-on expertise with Simphony Inventory and recipe costing. Strong BOH process knowledge (prep, receiving, counts, modifiers, waste). 3+ years delivering in Agile/SAFe environments. Experience integrating POS with ERP and financial systems. Multi-unit restaurant rollout experience. Familiarity with Oracle Fusion ERP or Oracle Retail. Understanding of cost accounting, COGS, yield management, and kitchen operations. Experience with API/middleware platforms (e.g., OIC, MuleSoft, Boomi). The base compensation range for this role in the posted location is $ 73,150- $ 193,440 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/23/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking an experienced Oracle Simphony Inventory Lead to play a key role in a large-scale, multi-unit restaurant transformation program. In this role, you will lead the design, configuration, and rollout of Simphony Inventory capabilities, helping restaurant operators gain greater visibility into inventory, recipe costing, food preparation, and cost of goods sold (COGS) across enterprise operations. As a lead within the program, you will drive global solution design sessions, partnering closely with business, culinary, and operations teams to translate complex restaurant requirements into scalable technology solutions. You will own the Simphony Inventory workstream from planning and backlog management through solution delivery, ensuring alignment between operational objectives and system capabilities. The ideal candidate brings deep expertise in restaurant back-of-house (BOH) processes, including ingredient management, recipe costing, yields, production planning, receiving, inventory counts, and waste management. You will also oversee integrations between Oracle MICROS Simphony, Oracle Fusion ERP, Oracle Retail, and enterprise analytics platforms, helping enable data-driven decision-making across restaurant operations. Your Role Own the Simphony Inventory workstream: planning, backlog definition, story refinement, sprint execution, and readiness. Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste. Translate culinary and operations needs into user stories and configuration requirements. Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms. Lead configuration, testing, and pilot/wave deployments across restaurants. Validate recipe costs, ingredient yields, and cost rollups during pilots and rollout. Partner with Operations, Culinary, Finance, and Supply Chain on deployment, training, and adoption. Support controls, variance reduction, and continuous improvement of inventory and costing processes. Lead the design, configuration, and rollout of Simphony Inventory across multi-unit restaurants program implementing Oracle MICROS Symphony Experience leading Global solution design sessions for solution around ingredient level inventory, recipe costing, prep workflows, and COGS visibility across restaurant operations. Own the Simphony Inventory workstream: planning, backlog definition, story refinement, Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste Translate culinary and operations needs into user stories and configuration requirements Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms Your Skill and Experience 3 to 5 years years in restaurant/QSR technology (inventory, POS, menu/recipe systems). Hands-on expertise with Simphony Inventory and recipe costing. Strong BOH process knowledge (prep, receiving, counts, modifiers, waste). 3+ years delivering in Agile/SAFe environments. Experience integrating POS with ERP and financial systems. Multi-unit restaurant rollout experience. Familiarity with Oracle Fusion ERP or Oracle Retail. Understanding of cost accounting, COGS, yield management, and kitchen operations. Experience with API/middleware platforms (e.g., OIC, MuleSoft, Boomi). The base compensation range for this role in the posted location is $ 73,150- $ 193,440 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
CapGemini
Oracle Simphony - Inventory Management - Workstream Lead
CapGemini Tampa, Florida
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking an experienced Oracle Simphony Inventory Lead to play a key role in a large-scale, multi-unit restaurant transformation program. In this role, you will lead the design, configuration, and rollout of Simphony Inventory capabilities, helping restaurant operators gain greater visibility into inventory, recipe costing, food preparation, and cost of goods sold (COGS) across enterprise operations. As a lead within the program, you will drive global solution design sessions, partnering closely with business, culinary, and operations teams to translate complex restaurant requirements into scalable technology solutions. You will own the Simphony Inventory workstream from planning and backlog management through solution delivery, ensuring alignment between operational objectives and system capabilities. The ideal candidate brings deep expertise in restaurant back-of-house (BOH) processes, including ingredient management, recipe costing, yields, production planning, receiving, inventory counts, and waste management. You will also oversee integrations between Oracle MICROS Simphony, Oracle Fusion ERP, Oracle Retail, and enterprise analytics platforms, helping enable data-driven decision-making across restaurant operations. Your Role Own the Simphony Inventory workstream: planning, backlog definition, story refinement, sprint execution, and readiness. Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste. Translate culinary and operations needs into user stories and configuration requirements. Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms. Lead configuration, testing, and pilot/wave deployments across restaurants. Validate recipe costs, ingredient yields, and cost rollups during pilots and rollout. Partner with Operations, Culinary, Finance, and Supply Chain on deployment, training, and adoption. Support controls, variance reduction, and continuous improvement of inventory and costing processes. Lead the design, configuration, and rollout of Simphony Inventory across multi-unit restaurants program implementing Oracle MICROS Symphony Experience leading Global solution design sessions for solution around ingredient level inventory, recipe costing, prep workflows, and COGS visibility across restaurant operations. Own the Simphony Inventory workstream: planning, backlog definition, story refinement, Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste Translate culinary and operations needs into user stories and configuration requirements Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms Your Skill and Experience 3 to 5 years years in restaurant/QSR technology (inventory, POS, menu/recipe systems). Hands-on expertise with Simphony Inventory and recipe costing. Strong BOH process knowledge (prep, receiving, counts, modifiers, waste). 3+ years delivering in Agile/SAFe environments. Experience integrating POS with ERP and financial systems. Multi-unit restaurant rollout experience. Familiarity with Oracle Fusion ERP or Oracle Retail. Understanding of cost accounting, COGS, yield management, and kitchen operations. Experience with API/middleware platforms (e.g., OIC, MuleSoft, Boomi). The base compensation range for this role in the posted location is $ 73,150- $ 193,440 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/23/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking an experienced Oracle Simphony Inventory Lead to play a key role in a large-scale, multi-unit restaurant transformation program. In this role, you will lead the design, configuration, and rollout of Simphony Inventory capabilities, helping restaurant operators gain greater visibility into inventory, recipe costing, food preparation, and cost of goods sold (COGS) across enterprise operations. As a lead within the program, you will drive global solution design sessions, partnering closely with business, culinary, and operations teams to translate complex restaurant requirements into scalable technology solutions. You will own the Simphony Inventory workstream from planning and backlog management through solution delivery, ensuring alignment between operational objectives and system capabilities. The ideal candidate brings deep expertise in restaurant back-of-house (BOH) processes, including ingredient management, recipe costing, yields, production planning, receiving, inventory counts, and waste management. You will also oversee integrations between Oracle MICROS Simphony, Oracle Fusion ERP, Oracle Retail, and enterprise analytics platforms, helping enable data-driven decision-making across restaurant operations. Your Role Own the Simphony Inventory workstream: planning, backlog definition, story refinement, sprint execution, and readiness. Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste. Translate culinary and operations needs into user stories and configuration requirements. Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms. Lead configuration, testing, and pilot/wave deployments across restaurants. Validate recipe costs, ingredient yields, and cost rollups during pilots and rollout. Partner with Operations, Culinary, Finance, and Supply Chain on deployment, training, and adoption. Support controls, variance reduction, and continuous improvement of inventory and costing processes. Lead the design, configuration, and rollout of Simphony Inventory across multi-unit restaurants program implementing Oracle MICROS Symphony Experience leading Global solution design sessions for solution around ingredient level inventory, recipe costing, prep workflows, and COGS visibility across restaurant operations. Own the Simphony Inventory workstream: planning, backlog definition, story refinement, Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste Translate culinary and operations needs into user stories and configuration requirements Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms Your Skill and Experience 3 to 5 years years in restaurant/QSR technology (inventory, POS, menu/recipe systems). Hands-on expertise with Simphony Inventory and recipe costing. Strong BOH process knowledge (prep, receiving, counts, modifiers, waste). 3+ years delivering in Agile/SAFe environments. Experience integrating POS with ERP and financial systems. Multi-unit restaurant rollout experience. Familiarity with Oracle Fusion ERP or Oracle Retail. Understanding of cost accounting, COGS, yield management, and kitchen operations. Experience with API/middleware platforms (e.g., OIC, MuleSoft, Boomi). The base compensation range for this role in the posted location is $ 73,150- $ 193,440 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
CapGemini
Oracle Simphony - Inventory Management - Workstream Lead
CapGemini Berwyn, Pennsylvania
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking an experienced Oracle Simphony Inventory Lead to play a key role in a large-scale, multi-unit restaurant transformation program. In this role, you will lead the design, configuration, and rollout of Simphony Inventory capabilities, helping restaurant operators gain greater visibility into inventory, recipe costing, food preparation, and cost of goods sold (COGS) across enterprise operations. As a lead within the program, you will drive global solution design sessions, partnering closely with business, culinary, and operations teams to translate complex restaurant requirements into scalable technology solutions. You will own the Simphony Inventory workstream from planning and backlog management through solution delivery, ensuring alignment between operational objectives and system capabilities. The ideal candidate brings deep expertise in restaurant back-of-house (BOH) processes, including ingredient management, recipe costing, yields, production planning, receiving, inventory counts, and waste management. You will also oversee integrations between Oracle MICROS Simphony, Oracle Fusion ERP, Oracle Retail, and enterprise analytics platforms, helping enable data-driven decision-making across restaurant operations. Your Role Own the Simphony Inventory workstream: planning, backlog definition, story refinement, sprint execution, and readiness. Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste. Translate culinary and operations needs into user stories and configuration requirements. Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms. Lead configuration, testing, and pilot/wave deployments across restaurants. Validate recipe costs, ingredient yields, and cost rollups during pilots and rollout. Partner with Operations, Culinary, Finance, and Supply Chain on deployment, training, and adoption. Support controls, variance reduction, and continuous improvement of inventory and costing processes. Lead the design, configuration, and rollout of Simphony Inventory across multi-unit restaurants program implementing Oracle MICROS Symphony Experience leading Global solution design sessions for solution around ingredient level inventory, recipe costing, prep workflows, and COGS visibility across restaurant operations. Own the Simphony Inventory workstream: planning, backlog definition, story refinement, Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste Translate culinary and operations needs into user stories and configuration requirements Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms Your Skill and Experience 3 to 5 years years in restaurant/QSR technology (inventory, POS, menu/recipe systems). Hands-on expertise with Simphony Inventory and recipe costing. Strong BOH process knowledge (prep, receiving, counts, modifiers, waste). 3+ years delivering in Agile/SAFe environments. Experience integrating POS with ERP and financial systems. Multi-unit restaurant rollout experience. Familiarity with Oracle Fusion ERP or Oracle Retail. Understanding of cost accounting, COGS, yield management, and kitchen operations. Experience with API/middleware platforms (e.g., OIC, MuleSoft, Boomi). The base compensation range for this role in the posted location is $ 73,150- $ 193,440 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/23/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking an experienced Oracle Simphony Inventory Lead to play a key role in a large-scale, multi-unit restaurant transformation program. In this role, you will lead the design, configuration, and rollout of Simphony Inventory capabilities, helping restaurant operators gain greater visibility into inventory, recipe costing, food preparation, and cost of goods sold (COGS) across enterprise operations. As a lead within the program, you will drive global solution design sessions, partnering closely with business, culinary, and operations teams to translate complex restaurant requirements into scalable technology solutions. You will own the Simphony Inventory workstream from planning and backlog management through solution delivery, ensuring alignment between operational objectives and system capabilities. The ideal candidate brings deep expertise in restaurant back-of-house (BOH) processes, including ingredient management, recipe costing, yields, production planning, receiving, inventory counts, and waste management. You will also oversee integrations between Oracle MICROS Simphony, Oracle Fusion ERP, Oracle Retail, and enterprise analytics platforms, helping enable data-driven decision-making across restaurant operations. Your Role Own the Simphony Inventory workstream: planning, backlog definition, story refinement, sprint execution, and readiness. Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste. Translate culinary and operations needs into user stories and configuration requirements. Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms. Lead configuration, testing, and pilot/wave deployments across restaurants. Validate recipe costs, ingredient yields, and cost rollups during pilots and rollout. Partner with Operations, Culinary, Finance, and Supply Chain on deployment, training, and adoption. Support controls, variance reduction, and continuous improvement of inventory and costing processes. Lead the design, configuration, and rollout of Simphony Inventory across multi-unit restaurants program implementing Oracle MICROS Symphony Experience leading Global solution design sessions for solution around ingredient level inventory, recipe costing, prep workflows, and COGS visibility across restaurant operations. Own the Simphony Inventory workstream: planning, backlog definition, story refinement, Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste Translate culinary and operations needs into user stories and configuration requirements Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms Your Skill and Experience 3 to 5 years years in restaurant/QSR technology (inventory, POS, menu/recipe systems). Hands-on expertise with Simphony Inventory and recipe costing. Strong BOH process knowledge (prep, receiving, counts, modifiers, waste). 3+ years delivering in Agile/SAFe environments. Experience integrating POS with ERP and financial systems. Multi-unit restaurant rollout experience. Familiarity with Oracle Fusion ERP or Oracle Retail. Understanding of cost accounting, COGS, yield management, and kitchen operations. Experience with API/middleware platforms (e.g., OIC, MuleSoft, Boomi). The base compensation range for this role in the posted location is $ 73,150- $ 193,440 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Senior Software Engineer (AM+ Auth)
Gravitee Denver, Colorado
Gravitee is a 2025 Gartner Magic Quadrant Leader , on a mission to govern the world's intelligence . We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent , trusted by global leaders like Michelin, Roche, and Blue Yonder. Why join us? The Mission : We are the first to bridge traditional API Management with the new frontier of AI Agent Security The Momentum : A high-growth Leader - combining market credibility with startup speed The DNA : We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure Don't just watch the AI revolution. Build the infrastructure that controls and secures it. The Role We are looking for a Senior Software Engineer to build and maintain the identity and authorization features of Gravitee Access Management (AM) - across the AM runtime and the access-management experience in Gamma, Gravitee's next generation product surface. This is a new role. Today, AM engineering is based entirely in Europe. This hire establishes US-hours ownership of Level 3 and Level 4 authentication and authorization incidents, and adds delivery capacity toward AM parity in Gamma - part of building sustainable L3/L4 engineering capability in the US. You will split your time roughly 80% feature delivery and 20% L3/L4 support and bug fixing (it varies week to week), working as an embedded member of the AM team, which is based in Europe. What You Will Be Doing In this role, you will: Design and deliver features end to end, from discovery and technical design through implementation, testing, release, and iteration. Build and maintain identity and authorization features of Gravitee Access Management, across the AM runtime and the AM experience in Gamma. Implement and support OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0 as both IdP and SP, SCIM, and FAPI/CIBA/UMA profiles. Work with token and session semantics - JWT, JWKS, key rotation, revocation, introspection, MFA and step-up, WebAuthn/FIDO2, and IdP federation and social login. Keep security behavior and upgrades safe: standards compliance, secure defaults, certificate and secret handling, consent, audit logs, and defenses against token replay, SSRF, and account takeover. Own safe migrations and backward compatibility across MongoDB and JDBC, and support multi-domain, multi-region deployments and login/token endpoint performance. Own US-hours Level 3 and Level 4 escalations for AM customers as part of the L3 pager duty rotation. Use LLMs and AI-assisted development tools thoughtfully for prototyping, implementation, testing, debugging, and exploration, applying sound engineering judgment to validate AI-generated work. Write meaningful automated tests and contribute to reliable delivery practices. • Collaborate with product managers, designers, engineers, and technical leaders - including the AM team based in Europe - to discover effective solutions and improve them through code and design reviews. Share what you learn and help the team make practical choices as identity standards and protocols evolve. Essential Skills We are looking for evidence that you can succeed in the role, whether gained through employment, open-source work, or equivalent practical experience: 5+ years building and running production backend software, on a team that ships and supports its own product; you have personally resolved production incidents. Strong Java experience (C# accepted if the object-oriented depth is there), with Maven and a reactive stack such as Vert.x/RxJava. Deep working knowledge of identity standards: OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0, SCIM, and FAPI/CIBA/UMA profiles. • Solid grasp of token and session semantics: JWT, JWKS, rotation, revocation, introspection, MFA/step-up, WebAuthn/FIDO2, and IdP federation. A security-first mindset: secure defaults, certificate and secret handling, audit logging, and awareness of token replay, SSRF, and account-takeover risks. Experience with safe migrations and backward compatibility across persistent data stores such as MongoDB or JDBCbacked relational databases. Git-based workflow, code review, and writing your own automated tests. Hands-on experience using LLMs or AI coding assistants as part of an engineering workflow, combined with the judgment to review and improve their output. Clear communication, collaborative problem-solving, and the ability to take an ambiguous problem through to production. Desired Skills You do not need to match every item. We would be especially interested in experience with: • Experience at an API gateway, proxy, or service-mesh vendor, or on the API platform team of a large company (e.g., Kong, Google Apigee, MuleSoft, Tyk, Solo.io, Traefik, WSO2). Kubernetes operators and CRDs; OpenAPI tooling; service mesh or Envoy experience. Docker, Kubernetes, and cloud-native application delivery. Model Context Protocol (MCP), Agent2Agent (A2A), tool calling, LLM proxies, or other emerging AI protocols and standards. Prior production experience is not required. Building or operating LLM-powered applications, RAG systems, or agentic workflows - especially their security, governance, and observability needs. Open-source software or enterprise developer platforms. Who Thrives at Gravitee Our growth is powered by people who bring passion to what they build, professionalism to how they work, and a commitment to doing things well. You will thrive here if you: • Bring energy and a constructive attitude to the team. • Adapt quickly and enjoy learning unfamiliar technologies and domains. • Take ownership, communicate clearly, and follow through with urgency. • Balance delivery speed with thoughtful engineering judgment. • Start with the customer problem and care about the quality of the experience you create. • Enjoy working in a fast-moving, collaborative, international environment. Life at Gravitee At Gravitee, we invest in humans, not just roles. You'll get: • Salary of $160,000 • Competitive medical coverage. • Pension / 401(k) program options. • Stock options - you build it, you own it. • 25 days of holiday plus in-country national holidays. • Three mental health days and a wellness allowance. • Your birthday off. • A professional development budget to support your growth. • A hybrid work culture with hubs across regions. • Quarterly team events and an annual company offsite. • A collaborative, international company culture. • Opportunities to grow your scope and career as Gravitee grows. At Gravitee, we believe diverse perspectives make better products and stronger teams. No employee or applicant will be treated less favorably on the grounds of sex, marital status, race, color, nationality, ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, religion, or belief. By applying, you consent to Gravitee storing and processing the personal information you submit as part of the recruitment process.
09/23/2026
Full time
Gravitee is a 2025 Gartner Magic Quadrant Leader , on a mission to govern the world's intelligence . We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent , trusted by global leaders like Michelin, Roche, and Blue Yonder. Why join us? The Mission : We are the first to bridge traditional API Management with the new frontier of AI Agent Security The Momentum : A high-growth Leader - combining market credibility with startup speed The DNA : We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure Don't just watch the AI revolution. Build the infrastructure that controls and secures it. The Role We are looking for a Senior Software Engineer to build and maintain the identity and authorization features of Gravitee Access Management (AM) - across the AM runtime and the access-management experience in Gamma, Gravitee's next generation product surface. This is a new role. Today, AM engineering is based entirely in Europe. This hire establishes US-hours ownership of Level 3 and Level 4 authentication and authorization incidents, and adds delivery capacity toward AM parity in Gamma - part of building sustainable L3/L4 engineering capability in the US. You will split your time roughly 80% feature delivery and 20% L3/L4 support and bug fixing (it varies week to week), working as an embedded member of the AM team, which is based in Europe. What You Will Be Doing In this role, you will: Design and deliver features end to end, from discovery and technical design through implementation, testing, release, and iteration. Build and maintain identity and authorization features of Gravitee Access Management, across the AM runtime and the AM experience in Gamma. Implement and support OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0 as both IdP and SP, SCIM, and FAPI/CIBA/UMA profiles. Work with token and session semantics - JWT, JWKS, key rotation, revocation, introspection, MFA and step-up, WebAuthn/FIDO2, and IdP federation and social login. Keep security behavior and upgrades safe: standards compliance, secure defaults, certificate and secret handling, consent, audit logs, and defenses against token replay, SSRF, and account takeover. Own safe migrations and backward compatibility across MongoDB and JDBC, and support multi-domain, multi-region deployments and login/token endpoint performance. Own US-hours Level 3 and Level 4 escalations for AM customers as part of the L3 pager duty rotation. Use LLMs and AI-assisted development tools thoughtfully for prototyping, implementation, testing, debugging, and exploration, applying sound engineering judgment to validate AI-generated work. Write meaningful automated tests and contribute to reliable delivery practices. • Collaborate with product managers, designers, engineers, and technical leaders - including the AM team based in Europe - to discover effective solutions and improve them through code and design reviews. Share what you learn and help the team make practical choices as identity standards and protocols evolve. Essential Skills We are looking for evidence that you can succeed in the role, whether gained through employment, open-source work, or equivalent practical experience: 5+ years building and running production backend software, on a team that ships and supports its own product; you have personally resolved production incidents. Strong Java experience (C# accepted if the object-oriented depth is there), with Maven and a reactive stack such as Vert.x/RxJava. Deep working knowledge of identity standards: OAuth 2.0 and OIDC flows (authorization code + PKCE, client credentials, token exchange), SAML 2.0, SCIM, and FAPI/CIBA/UMA profiles. • Solid grasp of token and session semantics: JWT, JWKS, rotation, revocation, introspection, MFA/step-up, WebAuthn/FIDO2, and IdP federation. A security-first mindset: secure defaults, certificate and secret handling, audit logging, and awareness of token replay, SSRF, and account-takeover risks. Experience with safe migrations and backward compatibility across persistent data stores such as MongoDB or JDBCbacked relational databases. Git-based workflow, code review, and writing your own automated tests. Hands-on experience using LLMs or AI coding assistants as part of an engineering workflow, combined with the judgment to review and improve their output. Clear communication, collaborative problem-solving, and the ability to take an ambiguous problem through to production. Desired Skills You do not need to match every item. We would be especially interested in experience with: • Experience at an API gateway, proxy, or service-mesh vendor, or on the API platform team of a large company (e.g., Kong, Google Apigee, MuleSoft, Tyk, Solo.io, Traefik, WSO2). Kubernetes operators and CRDs; OpenAPI tooling; service mesh or Envoy experience. Docker, Kubernetes, and cloud-native application delivery. Model Context Protocol (MCP), Agent2Agent (A2A), tool calling, LLM proxies, or other emerging AI protocols and standards. Prior production experience is not required. Building or operating LLM-powered applications, RAG systems, or agentic workflows - especially their security, governance, and observability needs. Open-source software or enterprise developer platforms. Who Thrives at Gravitee Our growth is powered by people who bring passion to what they build, professionalism to how they work, and a commitment to doing things well. You will thrive here if you: • Bring energy and a constructive attitude to the team. • Adapt quickly and enjoy learning unfamiliar technologies and domains. • Take ownership, communicate clearly, and follow through with urgency. • Balance delivery speed with thoughtful engineering judgment. • Start with the customer problem and care about the quality of the experience you create. • Enjoy working in a fast-moving, collaborative, international environment. Life at Gravitee At Gravitee, we invest in humans, not just roles. You'll get: • Salary of $160,000 • Competitive medical coverage. • Pension / 401(k) program options. • Stock options - you build it, you own it. • 25 days of holiday plus in-country national holidays. • Three mental health days and a wellness allowance. • Your birthday off. • A professional development budget to support your growth. • A hybrid work culture with hubs across regions. • Quarterly team events and an annual company offsite. • A collaborative, international company culture. • Opportunities to grow your scope and career as Gravitee grows. At Gravitee, we believe diverse perspectives make better products and stronger teams. No employee or applicant will be treated less favorably on the grounds of sex, marital status, race, color, nationality, ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, religion, or belief. By applying, you consent to Gravitee storing and processing the personal information you submit as part of the recruitment process.
CapGemini
Oracle Simphony - Inventory Management - Workstream Lead
CapGemini
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking an experienced Oracle Simphony Inventory Lead to play a key role in a large-scale, multi-unit restaurant transformation program. In this role, you will lead the design, configuration, and rollout of Simphony Inventory capabilities, helping restaurant operators gain greater visibility into inventory, recipe costing, food preparation, and cost of goods sold (COGS) across enterprise operations. As a lead within the program, you will drive global solution design sessions, partnering closely with business, culinary, and operations teams to translate complex restaurant requirements into scalable technology solutions. You will own the Simphony Inventory workstream from planning and backlog management through solution delivery, ensuring alignment between operational objectives and system capabilities. The ideal candidate brings deep expertise in restaurant back-of-house (BOH) processes, including ingredient management, recipe costing, yields, production planning, receiving, inventory counts, and waste management. You will also oversee integrations between Oracle MICROS Simphony, Oracle Fusion ERP, Oracle Retail, and enterprise analytics platforms, helping enable data-driven decision-making across restaurant operations. Your Role Own the Simphony Inventory workstream: planning, backlog definition, story refinement, sprint execution, and readiness. Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste. Translate culinary and operations needs into user stories and configuration requirements. Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms. Lead configuration, testing, and pilot/wave deployments across restaurants. Validate recipe costs, ingredient yields, and cost rollups during pilots and rollout. Partner with Operations, Culinary, Finance, and Supply Chain on deployment, training, and adoption. Support controls, variance reduction, and continuous improvement of inventory and costing processes. Lead the design, configuration, and rollout of Simphony Inventory across multi-unit restaurants program implementing Oracle MICROS Symphony Experience leading Global solution design sessions for solution around ingredient level inventory, recipe costing, prep workflows, and COGS visibility across restaurant operations. Own the Simphony Inventory workstream: planning, backlog definition, story refinement, Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste Translate culinary and operations needs into user stories and configuration requirements Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms Your Skill and Experience 3 to 5 years years in restaurant/QSR technology (inventory, POS, menu/recipe systems). Hands-on expertise with Simphony Inventory and recipe costing. Strong BOH process knowledge (prep, receiving, counts, modifiers, waste). 3+ years delivering in Agile/SAFe environments. Experience integrating POS with ERP and financial systems. Multi-unit restaurant rollout experience. Familiarity with Oracle Fusion ERP or Oracle Retail. Understanding of cost accounting, COGS, yield management, and kitchen operations. Experience with API/middleware platforms (e.g., OIC, MuleSoft, Boomi). The base compensation range for this role in the posted location is $ 73,150- $ 193,440 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/23/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the Job You're Considering We are seeking an experienced Oracle Simphony Inventory Lead to play a key role in a large-scale, multi-unit restaurant transformation program. In this role, you will lead the design, configuration, and rollout of Simphony Inventory capabilities, helping restaurant operators gain greater visibility into inventory, recipe costing, food preparation, and cost of goods sold (COGS) across enterprise operations. As a lead within the program, you will drive global solution design sessions, partnering closely with business, culinary, and operations teams to translate complex restaurant requirements into scalable technology solutions. You will own the Simphony Inventory workstream from planning and backlog management through solution delivery, ensuring alignment between operational objectives and system capabilities. The ideal candidate brings deep expertise in restaurant back-of-house (BOH) processes, including ingredient management, recipe costing, yields, production planning, receiving, inventory counts, and waste management. You will also oversee integrations between Oracle MICROS Simphony, Oracle Fusion ERP, Oracle Retail, and enterprise analytics platforms, helping enable data-driven decision-making across restaurant operations. Your Role Own the Simphony Inventory workstream: planning, backlog definition, story refinement, sprint execution, and readiness. Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste. Translate culinary and operations needs into user stories and configuration requirements. Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms. Lead configuration, testing, and pilot/wave deployments across restaurants. Validate recipe costs, ingredient yields, and cost rollups during pilots and rollout. Partner with Operations, Culinary, Finance, and Supply Chain on deployment, training, and adoption. Support controls, variance reduction, and continuous improvement of inventory and costing processes. Lead the design, configuration, and rollout of Simphony Inventory across multi-unit restaurants program implementing Oracle MICROS Symphony Experience leading Global solution design sessions for solution around ingredient level inventory, recipe costing, prep workflows, and COGS visibility across restaurant operations. Own the Simphony Inventory workstream: planning, backlog definition, story refinement, Lead design of restaurant BOH processes including ingredient management, recipe costing, yields, prep/production, receiving, counts, and waste Translate culinary and operations needs into user stories and configuration requirements Oversee integrations between Simphony, Oracle Fusion ERP, Oracle Retail, and data/analytics platforms Your Skill and Experience 3 to 5 years years in restaurant/QSR technology (inventory, POS, menu/recipe systems). Hands-on expertise with Simphony Inventory and recipe costing. Strong BOH process knowledge (prep, receiving, counts, modifiers, waste). 3+ years delivering in Agile/SAFe environments. Experience integrating POS with ERP and financial systems. Multi-unit restaurant rollout experience. Familiarity with Oracle Fusion ERP or Oracle Retail. Understanding of cost accounting, COGS, yield management, and kitchen operations. Experience with API/middleware platforms (e.g., OIC, MuleSoft, Boomi). The base compensation range for this role in the posted location is $ 73,150- $ 193,440 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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