AI Engineer 5 (MLXT) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7+ 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 complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 . click apply for full job details
09/29/2026
Full time
AI Engineer 5 (MLXT) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7+ 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 complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 . click apply for full job details
AI Engineer 4 (MLX) 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).
09/29/2026
Full time
AI Engineer 4 (MLX) 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).
AI Engineer 5 (MLXT) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7+ 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 complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 . click apply for full job details
09/29/2026
Full time
AI Engineer 5 (MLXT) 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. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity 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 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 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 7+ 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 complex AI systems 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 Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression 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: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 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 . click apply for full job details
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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).
09/29/2026
Full time
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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).
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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).
09/29/2026
Full time
Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences 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: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 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 (MLX) 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).
09/29/2026
Full time
AI Engineer 4 (MLX) 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).
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for an Experienced Software Development Engineer to join the Government Vehicle Health Maintenance team in Hazelwood, MO. This role supports the Boeing Global Services (BGS) Software Engineering organization by developing innovative solutions to enhance platform health management. As part of Boeing Global Services Software Engineering, you will design, implement, and maintain cloud-native microservices that capture and analyze platform health and usage data, perform automated assessments, and generate actionable maintenance recommendations. Your work will directly support mission readiness and lower lifecycle costs for platforms including F/A-18, MQ-25, F-15, T-38, T-7, and proprietary systems. Successful candidates will participate in all phases of the software development lifecycle on an Agile team working within a CI/CD pipeline. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Position Responsibilities: Design, develop, test, and maintain non-embedded software across the full lifecycle, ensuring compliance with industry, customer, safety, and regulatory requirements Translate customer needs and requirements into initial software designs and implementation plans Develop, document, and maintain software architectures, algorithms, interfaces, and detailed designs Develop, integrate, and optimize software products and system integrations, including supplier-supplied components Debug complex issues, lead root-cause analysis, and implement corrective actions to ensure product reliability and performance Respond to user inquiries, troubleshoot technical problems, and incorporate user feedback into improvements Research and evaluate current and emerging technologies, tools, and frameworks; recommend and implement relevant solutions Establish, monitor, and improve software processes, tools, and key performance metrics to align with organizational goals and industry benchmarks Plan, execute, and document software research and development initiatives Basic Qualifications: Bachelor's Degree Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship 5+ years of experience with Object Oriented Design and Programming in a high-level language like C#, .NET, Java, SQL, HTML, and CSS 5+ years of experience with software development on Windows or Linux 5+ years of experience developing software for containerized architectures (Docker, Podman, Kubernetes) 5+ years of experience in Git 5+ years of experience developing software products in a cloud environment Preferred Qualifications: Level 3: Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience 2+ years of experience in cyber security Working knowledge of specification formats, robust change control practices, and how standards drive aircraft/product certification and compliance strategies Proven ability to lead requirements derivation and allocation across system, subsystem, and software levels and demonstrate complete traceability throughout the lifecycle Strong expertise in software architecture and design methodologies; able to define and validate architectures that meet complex requirements and constraints Advanced capability to architect, build, integrate, optimize, and debug software components across diverse host environments; leads resolution of complex, cross-cutting issues Proficiency across multiple programming paradigms and languages (higher-order, auto-coded, and assembly), plus strong database design/use and performance considerations Deep experience designing and overseeing implementation, validation, and verification strategies; expert use of development/test toolchains and process improvement Broad domain mastery of systems that influence software architecture and integration (aircraft, missiles, airborne/shipboard/space/ground systems); anticipates and mitigates constraints such as OS limitations, fidelity, and processing capacity CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Experienced (Level 3): $126,650 - $171,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 12, 2026 Export Control Requirements: This is not an Export Control position. Language Requirements English Preferred Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
09/29/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for an Experienced Software Development Engineer to join the Government Vehicle Health Maintenance team in Hazelwood, MO. This role supports the Boeing Global Services (BGS) Software Engineering organization by developing innovative solutions to enhance platform health management. As part of Boeing Global Services Software Engineering, you will design, implement, and maintain cloud-native microservices that capture and analyze platform health and usage data, perform automated assessments, and generate actionable maintenance recommendations. Your work will directly support mission readiness and lower lifecycle costs for platforms including F/A-18, MQ-25, F-15, T-38, T-7, and proprietary systems. Successful candidates will participate in all phases of the software development lifecycle on an Agile team working within a CI/CD pipeline. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Position Responsibilities: Design, develop, test, and maintain non-embedded software across the full lifecycle, ensuring compliance with industry, customer, safety, and regulatory requirements Translate customer needs and requirements into initial software designs and implementation plans Develop, document, and maintain software architectures, algorithms, interfaces, and detailed designs Develop, integrate, and optimize software products and system integrations, including supplier-supplied components Debug complex issues, lead root-cause analysis, and implement corrective actions to ensure product reliability and performance Respond to user inquiries, troubleshoot technical problems, and incorporate user feedback into improvements Research and evaluate current and emerging technologies, tools, and frameworks; recommend and implement relevant solutions Establish, monitor, and improve software processes, tools, and key performance metrics to align with organizational goals and industry benchmarks Plan, execute, and document software research and development initiatives Basic Qualifications: Bachelor's Degree Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship 5+ years of experience with Object Oriented Design and Programming in a high-level language like C#, .NET, Java, SQL, HTML, and CSS 5+ years of experience with software development on Windows or Linux 5+ years of experience developing software for containerized architectures (Docker, Podman, Kubernetes) 5+ years of experience in Git 5+ years of experience developing software products in a cloud environment Preferred Qualifications: Level 3: Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience 2+ years of experience in cyber security Working knowledge of specification formats, robust change control practices, and how standards drive aircraft/product certification and compliance strategies Proven ability to lead requirements derivation and allocation across system, subsystem, and software levels and demonstrate complete traceability throughout the lifecycle Strong expertise in software architecture and design methodologies; able to define and validate architectures that meet complex requirements and constraints Advanced capability to architect, build, integrate, optimize, and debug software components across diverse host environments; leads resolution of complex, cross-cutting issues Proficiency across multiple programming paradigms and languages (higher-order, auto-coded, and assembly), plus strong database design/use and performance considerations Deep experience designing and overseeing implementation, validation, and verification strategies; expert use of development/test toolchains and process improvement Broad domain mastery of systems that influence software architecture and integration (aircraft, missiles, airborne/shipboard/space/ground systems); anticipates and mitigates constraints such as OS limitations, fidelity, and processing capacity CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Experienced (Level 3): $126,650 - $171,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 12, 2026 Export Control Requirements: This is not an Export Control position. Language Requirements English Preferred Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is seeking an experienced Principal Windows Systems Administrator to lead the design, implementation, and management of enterprise Windows infrastructure and Azure Virtual Desktop environments. This role will be critical in supporting our DevSecOps initiatives and ensuring secure, scalable, and efficient system operations for defense and space systems. The ideal candidate will bring deep expertise in Windows system administration, Azure cloud infrastructure, and security hardening while working in a fast-paced environment supporting mission-critical applications. Role Responsibilities: Design, deploy, and manage Azure Virtual Desktop (AVD) environments including host pools, session hosts, and user profiles to support distributed workforce requirements Administer and optimize Group Policy Objects (GPOs) across enterprise domains to enforce security policies, user configurations, and system settings Conduct comprehensive security and vulnerability scanning using industry-standard tools, and remediate identified vulnerabilities in accordance with compliance requirements Manage Windows Update deployment strategies, including WSUS administration, patch testing, and enterprise-wide update rollouts with minimal operational disruption Oversee some Linux virtual machine environments within hybrid infrastructure, ensuring proper integration with Windows systems and maintaining cross-platform operational excellence Design and troubleshoot complex networking configurations including VPNs, subnets, routing, firewalls, and load balancers in both on-premises and Azure environments Architect and maintain Azure infrastructure components including virtual networks, storage accounts, resource groups, and identity management solutions Lead Security Technical Implementation Guide (STIG) compliance efforts by implementing and validating security baselines across a mixed fleet Provide technical leadership and mentorship to junior system administrators and contribute to the development of best practices and standard operating procedures Collaborate with DevSecOps teams to integrate infrastructure-as-code practices and automation workflows for system provisioning and configuration management Required Qualifications: U.S. Citizenship and active secret security clearance Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent practical experience 7+ years of hands-on experience in Windows system administration in enterprise environments Advanced expertise in Azure Virtual Desktop deployment, management, and optimization Demonstrated proficiency in Group Policy creation, management, and troubleshooting across complex Active Directory environments Strong experience with security and vulnerability scanning tools (e.g., Nessus, Qualys, Rapid7) and remediation workflows Proven track record managing Windows Server Update Services (WSUS) or equivalent patch management solutions In-depth knowledge of networking protocols, architectures, and troubleshooting methodologies (TCP/IP, DNS, DHCP, VPN) Solid understanding of Azure cloud services, Azure networking (VNets, NSGs, Application Gateway), and infrastructure management Hands-on experience implementing and validating STIG compliance on Windows and Linux systems Preferred Qualifications: Active Top Secret clearance with ability to obtain TS/SCI Microsoft certifications such as Azure Administrator Associate, Azure Solutions Architect Expert, or Windows Server Hybrid Administrator Associate Proficiency in basic Linux system administration tasks. Experience with Infrastructure-as-Code tools (Terraform, ARM templates, Bicep) Knowledge of containerization technologies (Docker, Kubernetes) and their integration with Windows infrastructure Familiarity with DevSecOps practices, CI/CD pipelines, and automation frameworks Experience with PowerShell scripting and automation for system administration tasks Background supporting Department of Defense (DoD) or federal government IT environments Experience with monitoring and observability tools (Azure Monitor, Log Analytics, Prometheus, Grafana) Knowledge of identity and access management solutions (Azure AD, ADFS, MFA implementation) Experience with disaster recovery planning and implementation in cloud environments What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 130,000 - 170,000 USD per year(Huntsville, AL) Compensation details: 00 Yearly Salary PIda68e5b312f7-2570
09/29/2026
Full time
About Zaden Technologies, Inc. Join Zaden Technologies on our mission to simplify the delivery and improve the utility of software products for our customers. At Zaden, we believe that our employees are our greatest assets. We hire the right candidates with the right skill sets who fit our culture of customer obsession, innovation, and continuous learning. We are our customer's biggest advocate and we are looking for like-minded individuals who encompass these same ideals. It is important to us to offer you competitive pay and comprehensive benefits with opportunities that match your life and propel your career! Zaden Technologies is seeking an experienced Principal Windows Systems Administrator to lead the design, implementation, and management of enterprise Windows infrastructure and Azure Virtual Desktop environments. This role will be critical in supporting our DevSecOps initiatives and ensuring secure, scalable, and efficient system operations for defense and space systems. The ideal candidate will bring deep expertise in Windows system administration, Azure cloud infrastructure, and security hardening while working in a fast-paced environment supporting mission-critical applications. Role Responsibilities: Design, deploy, and manage Azure Virtual Desktop (AVD) environments including host pools, session hosts, and user profiles to support distributed workforce requirements Administer and optimize Group Policy Objects (GPOs) across enterprise domains to enforce security policies, user configurations, and system settings Conduct comprehensive security and vulnerability scanning using industry-standard tools, and remediate identified vulnerabilities in accordance with compliance requirements Manage Windows Update deployment strategies, including WSUS administration, patch testing, and enterprise-wide update rollouts with minimal operational disruption Oversee some Linux virtual machine environments within hybrid infrastructure, ensuring proper integration with Windows systems and maintaining cross-platform operational excellence Design and troubleshoot complex networking configurations including VPNs, subnets, routing, firewalls, and load balancers in both on-premises and Azure environments Architect and maintain Azure infrastructure components including virtual networks, storage accounts, resource groups, and identity management solutions Lead Security Technical Implementation Guide (STIG) compliance efforts by implementing and validating security baselines across a mixed fleet Provide technical leadership and mentorship to junior system administrators and contribute to the development of best practices and standard operating procedures Collaborate with DevSecOps teams to integrate infrastructure-as-code practices and automation workflows for system provisioning and configuration management Required Qualifications: U.S. Citizenship and active secret security clearance Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent practical experience 7+ years of hands-on experience in Windows system administration in enterprise environments Advanced expertise in Azure Virtual Desktop deployment, management, and optimization Demonstrated proficiency in Group Policy creation, management, and troubleshooting across complex Active Directory environments Strong experience with security and vulnerability scanning tools (e.g., Nessus, Qualys, Rapid7) and remediation workflows Proven track record managing Windows Server Update Services (WSUS) or equivalent patch management solutions In-depth knowledge of networking protocols, architectures, and troubleshooting methodologies (TCP/IP, DNS, DHCP, VPN) Solid understanding of Azure cloud services, Azure networking (VNets, NSGs, Application Gateway), and infrastructure management Hands-on experience implementing and validating STIG compliance on Windows and Linux systems Preferred Qualifications: Active Top Secret clearance with ability to obtain TS/SCI Microsoft certifications such as Azure Administrator Associate, Azure Solutions Architect Expert, or Windows Server Hybrid Administrator Associate Proficiency in basic Linux system administration tasks. Experience with Infrastructure-as-Code tools (Terraform, ARM templates, Bicep) Knowledge of containerization technologies (Docker, Kubernetes) and their integration with Windows infrastructure Familiarity with DevSecOps practices, CI/CD pipelines, and automation frameworks Experience with PowerShell scripting and automation for system administration tasks Background supporting Department of Defense (DoD) or federal government IT environments Experience with monitoring and observability tools (Azure Monitor, Log Analytics, Prometheus, Grafana) Knowledge of identity and access management solutions (Azure AD, ADFS, MFA implementation) Experience with disaster recovery planning and implementation in cloud environments What we offer: Robust startup environment with a variety of projects to work on Growth paths and endless opportunities to learn and develop Paid holidays Employer contributions toward 401k Performance-based bonus and profit-sharing 50% coverage of health insurance for employees and their dependents The pay range for this role is: 130,000 - 170,000 USD per year(Huntsville, AL) Compensation details: 00 Yearly Salary PIda68e5b312f7-2570
Job description: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Core responsibilities include: Design/architect, develop, test, deploy, and operate fully integrated software Design, build, and maintain infrastructure for modern integration between our applications and third-party services Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team. Communicate technical ideas and work closely with other senior members of the team. You will also provide technical leadership and guidance to junior team members and mentor others to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into our projects. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Youre encouraged and expected to propose things that you believe will improve the applications and frameworks youre working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Qualifications: What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Why is This a Great Opportunity: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 260000 Currency Type : USD
09/29/2026
Full time
Job description: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Core responsibilities include creative problem solving, researching or inventing advanced geolocation algorithms, implementing them in efficient software, testing with real-world data, and deploying to front-line customer facilities. Our dynamic environment and diverse projects demand flexibility to learn new technologies quickly. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M. Core responsibilities include: Design/architect, develop, test, deploy, and operate fully integrated software Design, build, and maintain infrastructure for modern integration between our applications and third-party services Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team. Communicate technical ideas and work closely with other senior members of the team. You will also provide technical leadership and guidance to junior team members and mentor others to grow in their technical abilities. A key responsibility is staying up-to-date with the latest technologies, tools, and methodologies and experimenting with new technologies to incorporate innovative solutions into our projects. Our personnel can expect to work across all functional areas: systems engineering, development, integration and test, deployment and O&M, and experience the direct mission feedback from the customer and seeing your project provide real-world contributions that make a significant difference. Youre encouraged and expected to propose things that you believe will improve the applications and frameworks youre working in. The ability to work unsupervised with minimal direction and the ability to self-start is a must. What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Qualifications: What required background will make you successful? Expert knowledge of data structures, algorithms, and modern design patterns and data layers Expert knowledge of Golang Passion to build internal solutions and own development of enterprise-wide applications Extensive knowledge of building quality APIs for internal and external products Extensive experience integrating internal and third-party services into your solution Highly proficient in modern software engineering practices for testability and readability Demonstrated ability to design the architecture of software systems to ensure they achieve functionality, performance, scalability, and maintainability requirements Degree (Bachelor's, Master's, or PhD) in Computer Engineering or Computer Science Minimum 15 years' experience in software engineering-related discipline Active TS/SCI security clearance US CITIZENSHIP REQUIRED Preferred skills: Experience providing technical leadership and guidance to junior team member and mentoring other engineers to grow in their technical abilities Highly proficient in C++ and Python for engineering and scientific applications in LINUX environments Knowledge of cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web technologies such as VueJS or React Experience automating workflows across the enterprise DevOps and Cloud computing Experience (Gitlab, CI/CD, CVE mitigations, Docker, Kubernetes, PIP) Agile development processes and leadership Full relocation provided Remote work/telework is not available for this position. Why is This a Great Opportunity: We are seeking a talented, tenacious, results driven individual to work in a multi-disciplinary R&D environment with likeminded motivated electrical engineers, mathematicians, and computer scientists who are collectively responsible for creating custom geolocation and digital communications systems in support of national security defense. Salary Type : Annual Salary Salary Min : $ 160000 Salary Max : $ 260000 Currency Type : USD
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for an Experienced Software Development Engineer to join the Government Vehicle Health Maintenance team in Hazelwood, MO. This role supports the Boeing Global Services (BGS) Software Engineering organization by developing innovative solutions to enhance platform health management. As part of Boeing Global Services Software Engineering, you will design, implement, and maintain cloud-native microservices that capture and analyze platform health and usage data, perform automated assessments, and generate actionable maintenance recommendations. Your work will directly support mission readiness and lower lifecycle costs for platforms including F/A-18, MQ-25, F-15, T-38, T-7, and proprietary systems. Successful candidates will participate in all phases of the software development lifecycle on an Agile team working within a CI/CD pipeline. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Position Responsibilities: Design, develop, test, and maintain non-embedded software across the full lifecycle, ensuring compliance with industry, customer, safety, and regulatory requirements Translate customer needs and requirements into initial software designs and implementation plans Develop, document, and maintain software architectures, algorithms, interfaces, and detailed designs Develop, integrate, and optimize software products and system integrations, including supplier-supplied components Debug complex issues, lead root-cause analysis, and implement corrective actions to ensure product reliability and performance Respond to user inquiries, troubleshoot technical problems, and incorporate user feedback into improvements Research and evaluate current and emerging technologies, tools, and frameworks; recommend and implement relevant solutions Establish, monitor, and improve software processes, tools, and key performance metrics to align with organizational goals and industry benchmarks Plan, execute, and document software research and development initiatives Basic Qualifications: Bachelor's Degree Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship 5+ years of experience with Object Oriented Design and Programming in a high-level language like C#, .NET, Java, SQL, HTML, and CSS 5+ years of experience with software development on Windows or Linux 5+ years of experience developing software for containerized architectures (Docker, Podman, Kubernetes) 5+ years of experience in Git 5+ years of experience developing software products in a cloud environment Preferred Qualifications: Level 3: Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience 2+ years of experience in cyber security Working knowledge of specification formats, robust change control practices, and how standards drive aircraft/product certification and compliance strategies Proven ability to lead requirements derivation and allocation across system, subsystem, and software levels and demonstrate complete traceability throughout the lifecycle Strong expertise in software architecture and design methodologies; able to define and validate architectures that meet complex requirements and constraints Advanced capability to architect, build, integrate, optimize, and debug software components across diverse host environments; leads resolution of complex, cross-cutting issues Proficiency across multiple programming paradigms and languages (higher-order, auto-coded, and assembly), plus strong database design/use and performance considerations Deep experience designing and overseeing implementation, validation, and verification strategies; expert use of development/test toolchains and process improvement Broad domain mastery of systems that influence software architecture and integration (aircraft, missiles, airborne/shipboard/space/ground systems); anticipates and mitigates constraints such as OS limitations, fidelity, and processing capacity CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Experienced (Level 3): $126,650 - $171,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 12, 2026 Export Control Requirements: This is not an Export Control position. Language Requirements English Preferred Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
09/29/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is looking for an Experienced Software Development Engineer to join the Government Vehicle Health Maintenance team in Hazelwood, MO. This role supports the Boeing Global Services (BGS) Software Engineering organization by developing innovative solutions to enhance platform health management. As part of Boeing Global Services Software Engineering, you will design, implement, and maintain cloud-native microservices that capture and analyze platform health and usage data, perform automated assessments, and generate actionable maintenance recommendations. Your work will directly support mission readiness and lower lifecycle costs for platforms including F/A-18, MQ-25, F-15, T-38, T-7, and proprietary systems. Successful candidates will participate in all phases of the software development lifecycle on an Agile team working within a CI/CD pipeline. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Position Responsibilities: Design, develop, test, and maintain non-embedded software across the full lifecycle, ensuring compliance with industry, customer, safety, and regulatory requirements Translate customer needs and requirements into initial software designs and implementation plans Develop, document, and maintain software architectures, algorithms, interfaces, and detailed designs Develop, integrate, and optimize software products and system integrations, including supplier-supplied components Debug complex issues, lead root-cause analysis, and implement corrective actions to ensure product reliability and performance Respond to user inquiries, troubleshoot technical problems, and incorporate user feedback into improvements Research and evaluate current and emerging technologies, tools, and frameworks; recommend and implement relevant solutions Establish, monitor, and improve software processes, tools, and key performance metrics to align with organizational goals and industry benchmarks Plan, execute, and document software research and development initiatives Basic Qualifications: Bachelor's Degree Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship 5+ years of experience with Object Oriented Design and Programming in a high-level language like C#, .NET, Java, SQL, HTML, and CSS 5+ years of experience with software development on Windows or Linux 5+ years of experience developing software for containerized architectures (Docker, Podman, Kubernetes) 5+ years of experience in Git 5+ years of experience developing software products in a cloud environment Preferred Qualifications: Level 3: Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience 2+ years of experience in cyber security Working knowledge of specification formats, robust change control practices, and how standards drive aircraft/product certification and compliance strategies Proven ability to lead requirements derivation and allocation across system, subsystem, and software levels and demonstrate complete traceability throughout the lifecycle Strong expertise in software architecture and design methodologies; able to define and validate architectures that meet complex requirements and constraints Advanced capability to architect, build, integrate, optimize, and debug software components across diverse host environments; leads resolution of complex, cross-cutting issues Proficiency across multiple programming paradigms and languages (higher-order, auto-coded, and assembly), plus strong database design/use and performance considerations Deep experience designing and overseeing implementation, validation, and verification strategies; expert use of development/test toolchains and process improvement Broad domain mastery of systems that influence software architecture and integration (aircraft, missiles, airborne/shipboard/space/ground systems); anticipates and mitigates constraints such as OS limitations, fidelity, and processing capacity CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Experienced (Level 3): $126,650 - $171,350 Potential signing bonus for eligible/qualified external candidates. Applications for this position will be accepted until Oct. 12, 2026 Export Control Requirements: This is not an Export Control position. Language Requirements English Preferred Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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: Lead, Software Engineer Job Code: 41478 Job Location: Melbourne, FL Patrick Space Force Base, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance, possess CompTIA Security+ certification or higher, and work onsite at Patrick Space Force Base. The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies. Essential Functions: Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations. Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices. Develop secure and scalable back-end services and application logic to support mission applications and workflows. Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective. Integrate cloud-native services, databases, and application components across distributed environments. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions. Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality. Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information. Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's degree in computer science or computer engineering and a minimum of 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development. Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS. Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar. Experience with RESTful APIs, microservices, and application integration patterns. Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices. Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Experience building and deploying mission applications in classified or high-security environments. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. 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.
09/29/2026
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: Lead, Software Engineer Job Code: 41478 Job Location: Melbourne, FL Patrick Space Force Base, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance, possess CompTIA Security+ certification or higher, and work onsite at Patrick Space Force Base. The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies. Essential Functions: Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations. Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices. Develop secure and scalable back-end services and application logic to support mission applications and workflows. Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective. Integrate cloud-native services, databases, and application components across distributed environments. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions. Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality. Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information. Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's degree in computer science or computer engineering and a minimum of 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development. Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS. Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar. Experience with RESTful APIs, microservices, and application integration patterns. Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices. Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Experience building and deploying mission applications in classified or high-security environments. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. 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.
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: Specialist, Software Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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 .
09/29/2026
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: Specialist, Software Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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 .
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: Specialist, Software Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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 .
09/29/2026
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: Specialist, Software Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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 .
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: Specialist, Software Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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 .
09/29/2026
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: Specialist, Software Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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 .
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: Specialist, Software Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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 .
09/29/2026
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: Specialist, Software Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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 .
Leidos seeks a PIV/MFA Program Lead to own the strategy, architecture, and operations of enterprise identity and authentication services supporting mission-critical government and commercial customers. In this role, you will lead design and implementation of secure PIV and MFA solutions, integrating with applications, directories, and cloud platforms to enable resilient, standards-based access. You will collaborate closely with cybersecurity, infrastructure, and application teams to align with FIPS and NIST requirements, drive zero-trust initiatives, and support audits and accreditations. The Program Lead will guide technical teams, manage vendors and upgrades, and continuously improve performance, availability, and security of authentication services. This position offers the opportunity to impact national security and critical infrastructure missions within a mission-driven, innovative, and highly collaborative culture that values integrity, inclusion, professional development, and work-life balance. Responsibilities Lead design, implementation, and operations of PIV and MFA authentication services for enterprise and government environments Develop and maintain identity and access management roadmaps, policies, and standards aligned with security and compliance requirements Oversee integration of PIV/MFA with applications, directories, and cloud platforms; troubleshoot complex authentication issues Collaborate with security, infrastructure, and application teams to ensure secure, reliable access solutions Manage vendor relationships, product evaluations, and upgrades for authentication and identity platforms Create and maintain technical documentation, runbooks, and architectural diagrams for PIV/MFA services Monitor performance, availability, and security posture of authentication systems and implement improvements Guide and mentor technical teams; provide subject-matter expertise on digital identity and zero-trust initiatives Support audits, accreditation efforts, and compliance with federal identity standards (e.g., FIPS 201, NIST guidelines) Contribute to strategic planning and proposals for new programs and customer solutions involving identity services Required Skills Identity and Access Management (IAM) architecture PIV and smart card technologies Multi-Factor Authentication (MFA) platforms and protocols Public Key Infrastructure (PKI) and digital certificates Federation standards (SAML, OAuth2, Open ID Connect) Directory services (Active Directory, LDAP) Cloud identity (Azure AD, AWS IAM, or similar) Security and compliance frameworks (FIPS, NIST) Scripting/automation for identity operations Technical leadership and cross-team collaboration
09/29/2026
Full time
Leidos seeks a PIV/MFA Program Lead to own the strategy, architecture, and operations of enterprise identity and authentication services supporting mission-critical government and commercial customers. In this role, you will lead design and implementation of secure PIV and MFA solutions, integrating with applications, directories, and cloud platforms to enable resilient, standards-based access. You will collaborate closely with cybersecurity, infrastructure, and application teams to align with FIPS and NIST requirements, drive zero-trust initiatives, and support audits and accreditations. The Program Lead will guide technical teams, manage vendors and upgrades, and continuously improve performance, availability, and security of authentication services. This position offers the opportunity to impact national security and critical infrastructure missions within a mission-driven, innovative, and highly collaborative culture that values integrity, inclusion, professional development, and work-life balance. Responsibilities Lead design, implementation, and operations of PIV and MFA authentication services for enterprise and government environments Develop and maintain identity and access management roadmaps, policies, and standards aligned with security and compliance requirements Oversee integration of PIV/MFA with applications, directories, and cloud platforms; troubleshoot complex authentication issues Collaborate with security, infrastructure, and application teams to ensure secure, reliable access solutions Manage vendor relationships, product evaluations, and upgrades for authentication and identity platforms Create and maintain technical documentation, runbooks, and architectural diagrams for PIV/MFA services Monitor performance, availability, and security posture of authentication systems and implement improvements Guide and mentor technical teams; provide subject-matter expertise on digital identity and zero-trust initiatives Support audits, accreditation efforts, and compliance with federal identity standards (e.g., FIPS 201, NIST guidelines) Contribute to strategic planning and proposals for new programs and customer solutions involving identity services Required Skills Identity and Access Management (IAM) architecture PIV and smart card technologies Multi-Factor Authentication (MFA) platforms and protocols Public Key Infrastructure (PKI) and digital certificates Federation standards (SAML, OAuth2, Open ID Connect) Directory services (Active Directory, LDAP) Cloud identity (Azure AD, AWS IAM, or similar) Security and compliance frameworks (FIPS, NIST) Scripting/automation for identity operations Technical leadership and cross-team collaboration
Leidos seeks a Systems Engineer to support Geographically Separated Units, designing, integrating, and sustaining secure, distributed IT environments for mission-critical government customers. You will architect end-to-end solutions across networks, servers, and applications; implement cybersecurity controls; and ensure high availability and performance for remote sites. Responsibilities include requirements analysis, system design, deployment, documentation, and troubleshooting complex incidents. You'll collaborate with cross-functional teams, mentor junior staff, and drive continuous improvement while working in a culture that values integrity, innovation, and learning. Responsibilities Design and implement end-to-end systems architectures for geographically separated units. Integrate servers, networks, storage, and applications into secure, resilient solutions. Apply cybersecurity and compliance standards to harden systems and protect mission data. Monitor performance and troubleshoot complex issues across distributed environments. Develop and maintain technical documentation, diagrams, and configuration baselines. Collaborate with cross-functional teams, including network, security, and program staff. Support testing, validation, and deployment of new capabilities and upgrades. Automate routine tasks and configuration management where possible. Provide on-call or after-hours support for critical incidents as required. Contribute to continuous improvement and mentor junior team members. Required Skills Systems engineering Distributed systems architecture Windows and Linux server administration Network configuration and troubleshooting Systems integration Virtualization (VMware/Hyper-V) Cloud platforms (AWS/Azure/Gov Cloud) Cybersecurity and hardening standards (STIGs) Scripting/automation (Power Shell/Python) Monitoring and incident response tools
09/29/2026
Full time
Leidos seeks a Systems Engineer to support Geographically Separated Units, designing, integrating, and sustaining secure, distributed IT environments for mission-critical government customers. You will architect end-to-end solutions across networks, servers, and applications; implement cybersecurity controls; and ensure high availability and performance for remote sites. Responsibilities include requirements analysis, system design, deployment, documentation, and troubleshooting complex incidents. You'll collaborate with cross-functional teams, mentor junior staff, and drive continuous improvement while working in a culture that values integrity, innovation, and learning. Responsibilities Design and implement end-to-end systems architectures for geographically separated units. Integrate servers, networks, storage, and applications into secure, resilient solutions. Apply cybersecurity and compliance standards to harden systems and protect mission data. Monitor performance and troubleshoot complex issues across distributed environments. Develop and maintain technical documentation, diagrams, and configuration baselines. Collaborate with cross-functional teams, including network, security, and program staff. Support testing, validation, and deployment of new capabilities and upgrades. Automate routine tasks and configuration management where possible. Provide on-call or after-hours support for critical incidents as required. Contribute to continuous improvement and mentor junior team members. Required Skills Systems engineering Distributed systems architecture Windows and Linux server administration Network configuration and troubleshooting Systems integration Virtualization (VMware/Hyper-V) Cloud platforms (AWS/Azure/Gov Cloud) Cybersecurity and hardening standards (STIGs) Scripting/automation (Power Shell/Python) Monitoring and incident response tools
Title: Oracle Fusion Developer - Field Service OR Customer Solutions Location: on-site in either Buffalo, NY (Preferred); Erie, PA; or Dayton, OH (relo assistance avail) Salary: $85,000 - $115,000 Category: Information Technology / Software Developer Resumes to: Be part of the team that is bringing this company to the Cloud! Company Our client is a well-established energy company with more than 2,000 employees across Western New York and Northwest Pennsylvania. The organization is continuing to invest in its technology environment as part of corporate expansion, cloud transformation, and systems integration initiatives. The IT organization is expanding its Oracle ecosystem to support the company's growth and the integration of a recent acquisition. These are new opportunities for professionals who want to contribute to a significant enterprise technology environment while working closely with business and IT teams. Culture Our client places a strong emphasis on collaboration, accountability, and developing its employees. Hard work is recognized, and the company has a history of supporting promotion from within. The hiring manager has been with the organization for more than 25 years, reflecting the stability and long-term career opportunities available within the company. The IT environment is team-oriented, with professionals working closely with functional business teams, data engineers, application architects, vendors, and implementation partners. Benefits / Appreciation Our client offers a comprehensive benefits package and a stable environment within an established organization. Employees are recognized as an important part of the company's continued success, with opportunities to develop their skills and advance within the organization. The company also places a strong emphasis on diversity, inclusion, and providing qualified employees with opportunities to grow their careers. Role The Oracle Developers will support the company's growing Oracle Fusion/Utilities environment. This is a hands-on enterprise applications role involving development, configuration, integrations, reporting, data activities, troubleshooting, and ongoing application support. Key Responsibilities Configure, develop, and support Oracle Fusion/Utilities applications. Work with functional business teams to understand requirements and translate them into technical solutions. Develop and maintain integrations, extensions, reports, and data extracts. Support data conversion, validation, and reconciliation activities. Collaborate with data engineers and application architects to align solutions with enterprise standards. Troubleshoot application issues and help maintain system reliability. Participate in system testing, UAT, and post-implementation stabilization. Document configurations, integrations, and technical designs. Work with outside vendors and implementation partners to support knowledge transfer and long-term application support. Location: This position is available on-site in Buffalo, NY; Erie, PA; or Dayton, OH. Candidates in all three locations are being considered. Some relocation assistance is available for non-local candidates. Background Profile Seeking an experienced enterprise applications professional with a solid understanding of Oracle Fusion/Utilities Cloud or a comparable enterprise ERP/application environment. Required Background: At least 5 years of experience supporting enterprise application development, systems analysis, or a related discipline. Experience in utilities, energy, financial services, or another regulated industry is preferred. Hands-on experience with Oracle Fusion (Utilities Cloud preferred) or a comparable enterprise ERP platform, including enterprise implementations, acquisitions, and/or major platform transitions highly desired. Professional experience in at least one of the following areas: CCS / CC&B: Customer information, customer billing, CRM, or customer-facing systems WAM / WACS: Asset management, work management, etc. OFSC / CSF: Field scheduling, field service, etc. Experience with enterprise application configuration, extensions, integrations, or development. Ability to understand business requirements and translate them into practical technical solutions. Strong analytical, troubleshooting, documentation, and communication skills. Bachelor's degree in Computer Science, Information Systems, or a related field. Transcripts will be required. Local to Buffalo, NY (Preferred); Erie, PA; or Dayton, OH or willing to relocate upon hire. Legally authorized to work in the USA without any form of sponsorship, now and in the future. This opportunity is best suited for an Oracle/enterprise applications developer who enjoys being hands-on, working across business and IT, and contributing to a growing cloud-based technology environment. The long tenure of the hiring manager and the organization's focus on internal development may also appeal to professionals looking for a stable, long-term opportunity. The salary range represents the anticipated compensation for this position. Actual salary will be based on job-related factors, including relevant skills, experience, education, certifications, qualifications, and demonstrated competencies. Candidates whose qualifications and experience most closely exceed the requirements of the position may be considered for compensation at the upper end of the range.
09/29/2026
Full time
Title: Oracle Fusion Developer - Field Service OR Customer Solutions Location: on-site in either Buffalo, NY (Preferred); Erie, PA; or Dayton, OH (relo assistance avail) Salary: $85,000 - $115,000 Category: Information Technology / Software Developer Resumes to: Be part of the team that is bringing this company to the Cloud! Company Our client is a well-established energy company with more than 2,000 employees across Western New York and Northwest Pennsylvania. The organization is continuing to invest in its technology environment as part of corporate expansion, cloud transformation, and systems integration initiatives. The IT organization is expanding its Oracle ecosystem to support the company's growth and the integration of a recent acquisition. These are new opportunities for professionals who want to contribute to a significant enterprise technology environment while working closely with business and IT teams. Culture Our client places a strong emphasis on collaboration, accountability, and developing its employees. Hard work is recognized, and the company has a history of supporting promotion from within. The hiring manager has been with the organization for more than 25 years, reflecting the stability and long-term career opportunities available within the company. The IT environment is team-oriented, with professionals working closely with functional business teams, data engineers, application architects, vendors, and implementation partners. Benefits / Appreciation Our client offers a comprehensive benefits package and a stable environment within an established organization. Employees are recognized as an important part of the company's continued success, with opportunities to develop their skills and advance within the organization. The company also places a strong emphasis on diversity, inclusion, and providing qualified employees with opportunities to grow their careers. Role The Oracle Developers will support the company's growing Oracle Fusion/Utilities environment. This is a hands-on enterprise applications role involving development, configuration, integrations, reporting, data activities, troubleshooting, and ongoing application support. Key Responsibilities Configure, develop, and support Oracle Fusion/Utilities applications. Work with functional business teams to understand requirements and translate them into technical solutions. Develop and maintain integrations, extensions, reports, and data extracts. Support data conversion, validation, and reconciliation activities. Collaborate with data engineers and application architects to align solutions with enterprise standards. Troubleshoot application issues and help maintain system reliability. Participate in system testing, UAT, and post-implementation stabilization. Document configurations, integrations, and technical designs. Work with outside vendors and implementation partners to support knowledge transfer and long-term application support. Location: This position is available on-site in Buffalo, NY; Erie, PA; or Dayton, OH. Candidates in all three locations are being considered. Some relocation assistance is available for non-local candidates. Background Profile Seeking an experienced enterprise applications professional with a solid understanding of Oracle Fusion/Utilities Cloud or a comparable enterprise ERP/application environment. Required Background: At least 5 years of experience supporting enterprise application development, systems analysis, or a related discipline. Experience in utilities, energy, financial services, or another regulated industry is preferred. Hands-on experience with Oracle Fusion (Utilities Cloud preferred) or a comparable enterprise ERP platform, including enterprise implementations, acquisitions, and/or major platform transitions highly desired. Professional experience in at least one of the following areas: CCS / CC&B: Customer information, customer billing, CRM, or customer-facing systems WAM / WACS: Asset management, work management, etc. OFSC / CSF: Field scheduling, field service, etc. Experience with enterprise application configuration, extensions, integrations, or development. Ability to understand business requirements and translate them into practical technical solutions. Strong analytical, troubleshooting, documentation, and communication skills. Bachelor's degree in Computer Science, Information Systems, or a related field. Transcripts will be required. Local to Buffalo, NY (Preferred); Erie, PA; or Dayton, OH or willing to relocate upon hire. Legally authorized to work in the USA without any form of sponsorship, now and in the future. This opportunity is best suited for an Oracle/enterprise applications developer who enjoys being hands-on, working across business and IT, and contributing to a growing cloud-based technology environment. The long tenure of the hiring manager and the organization's focus on internal development may also appeal to professionals looking for a stable, long-term opportunity. The salary range represents the anticipated compensation for this position. Actual salary will be based on job-related factors, including relevant skills, experience, education, certifications, qualifications, and demonstrated competencies. Candidates whose qualifications and experience most closely exceed the requirements of the position may be considered for compensation at the upper end of the range.
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: Specialist, Software Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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 .
09/29/2026
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: Specialist, Software Engineering (AWS Cloud) Job Code: 43381 Job Location: Melbourne, FL Job Schedule: 9/80 (Every other Friday off) Job Description: The GGSS Cloud team leverages Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering modern solutions to support customer operations and information management services. We value a strong knowledge of software development best practices and experience delivering & deploying Cloud-ready applications and services. Seeking experienced Software Engineers to join our dynamic team, focusing on operating, maintaining, and sustaining an AWS cloud operational system. Essential Functions: Monitor and implement updates from AWS and third-party suppliers Maintain and enhance our Kubernetes-based cloud architecture Utilize Python, Java or C++ programming languages Support Identity and Access Management (IAM) solutions including single sign on, active directory, or Keycloak Assist in cloud migration of applications Write and maintain comprehensive documentation for developers, administrators, and operators Ensuring consistency across the baseline (version tagging, naming schemes) Leverage networking principles and security best practices in an AWS cloud environment Design and code new software or modify existing software to add new features Ability to obtain a High-Risk NOAA Public Trust clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. Experience developing and deploying containerized applications using Docker, Podman, Kubernetes, or equivalent. Experience with Linux environments, including scripting, configuration, and software deployment. Experience with configuration management (Ansible, Chef, Puppet) and Infrastructure as Code tools (Terraform, CDK, OpenTofu, Cloud Formation). Preferred Additional Skills: Familiarity with Agile workflow tools and collaborative version control practices (Git, JIRA, Confluence, etc.) Experience with container observability tools such as Prometheus, PromQL, and Grafana Experience with Helm charts and Kubernetes package management Experience with monitoring and logging solutions (Splunk, CloudWatch, etc.) Experience with iterative software development processes (Agile, SCRUM, Kanban) AWS Certified Solutions Architect - Associate Certified Kubernetes Administrator (CKA) AWS Certified DevOps Engineer - Associate 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 .
BASIC QUALIFICATIONS - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Bachelor's degree in computer science, engineering, mathematics or equivalent - Designing and shipping LLM-powered features in production systems, with emphasis on system architecture (latency, streaming, orchestration) PREFERRED QUALIFICATIONS - 5+ years of IT development or implementation/consulting in the software or Internet industries experience - Experience working with end user or developer communities - Experience architecting/operating solutions built on AWS
09/29/2026
Full time
BASIC QUALIFICATIONS - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Bachelor's degree in computer science, engineering, mathematics or equivalent - Designing and shipping LLM-powered features in production systems, with emphasis on system architecture (latency, streaming, orchestration) PREFERRED QUALIFICATIONS - 5+ years of IT development or implementation/consulting in the software or Internet industries experience - Experience working with end user or developer communities - Experience architecting/operating solutions built on AWS
