Senior AI Engineer Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience 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, 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 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. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/11/2026
Full time
Senior AI Engineer Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience 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, 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 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. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 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 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). 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. Plano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/11/2026
Full time
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. 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 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). 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. Plano, TX: $179,400 - $204,700 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior AI Engineer Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience 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, 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 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. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/11/2026
Full time
Senior AI Engineer Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience 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, 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 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. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman has an opening for an Embedded DevOps Engineer Level 4 to join our team of qualified, diverse individuals. As an integral part of our multi-discipline engineering team in Advanced Weapons, you will be on the forefront of developing next generation solutions to protect technology for our nation's warfighters. This position is required to be full-time, on-site in the Northridge, CA location. No remote/telework arrangement is available for this position. Applicants must have a current US Government DoD Secret security clearance with ability to get cleared for SAP. The Embedded DevOps Engineer will define, design, and own the end to end CI/CD pipeline architecture for Missile Programs within the Advanced Weapons Business Unit. In this position, you will craft secure, scalable pipeline solutions, drive implementation across multiple development streams, and continuously improve automation, testing, and deployment practices. The ideal candidate will bring deep expertise in DevSecOps tools and processes together with hands on experience in embedded software development, understanding the unique constraints of real time and safety critical code. The Embedded DevSecOps Lead will serve as the primary liaison between engineering teams, program managers, and senior leadership, translating complex technical concepts into clear business value. Success in this role requires strong technical leadership, the ability to communicate effectively with both technical and non technical stakeholders, and coordination across multiple networks and sites to ensure consistent standards and seamless collaboration. Key Responsibilities: Design and own end to end CI/CD pipelines for missile program codebases, selecting and integrating tools such as Jenkins, Nexus, SonarQube, and the Atlassian (Jira, Bitbucket, and Confluence) suite. Develop and maintain pipeline automation scripts and build configurations (CMake, Visual Studio, custom build scripts) to support continuous integration, testing, and delivery of embedded software. Architect secure artifact repositories and version control strategies, ensuring traceability, reproducibility, and compliance with DoD security requirements. Implement static analysis, code quality gates, and vulnerability scanning within the pipeline using SonarQube and other tooling to enforce secure coding practices across C++, Python, and VxWorks projects. Collaborate with embedded software engineers to tailor build and test processes for real time, safety critical applications, handling cross compilation, hardware in the loop testing, and simulation environments. Provide technical leadership and mentorship to development and operations teams, fostering DevSecOps best practices and continuous improvement. Coordinate across multiple networks and sites, standardizing pipeline configurations, ensuring consistent security posture, and facilitating seamless integration of code and artifacts across geographically dispersed teams. Maintain up to date documentation of pipeline architecture, build processes, security controls, and compliance evidence to support audits and accreditation activities. Basic Qualifications: BS in Electrical or Computer Engineering or related field with 8 years of embedded software/hardware development, preferably on safety critical or defense platform; or MS with 6 years of the same experience. Experience as a technical lead collaborating with cross-functional teams DevSecOps experience creating and maintaining CI/CD pipelines with the ability to identify needs for automation, design and implementation of CI/CD solutions Experience with GIT and Agile development, inclusive of generating, analyzing, and reporting on Agile and development metrics. Embedded software development experience with micro controllers, DSPs, FPGAs, and Real Time Operating Systems (RTOS) such as VxWorks, FreeRTOS, or QNX in Windows or Linux environments Current US Government Secret security clearance with ability to get cleared for SAP Preferred Qualifications: Proficiency in one or more of the following: C/C++/Python, Flight Software Development, Software Factory. Experience with full software development life-cycle Experience with tools like GitLab, Atlassian (Jira, Bitbucket and/or Jenkins), including CI/CD tools (SonarCube, Fortify, VectorCast) Cloud Technologies (AWS, Azure) with Containers and Orchestration (Podman, Kubernetes) Experience with simulators, STE development CISSP, CISM, or Security+ Certification Demonstrated ability to implement process improvements, streamline activities, and develop efficiencies Excellent communication and organizational skills; strong interpersonal and analytic skills Primary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/11/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman has an opening for an Embedded DevOps Engineer Level 4 to join our team of qualified, diverse individuals. As an integral part of our multi-discipline engineering team in Advanced Weapons, you will be on the forefront of developing next generation solutions to protect technology for our nation's warfighters. This position is required to be full-time, on-site in the Northridge, CA location. No remote/telework arrangement is available for this position. Applicants must have a current US Government DoD Secret security clearance with ability to get cleared for SAP. The Embedded DevOps Engineer will define, design, and own the end to end CI/CD pipeline architecture for Missile Programs within the Advanced Weapons Business Unit. In this position, you will craft secure, scalable pipeline solutions, drive implementation across multiple development streams, and continuously improve automation, testing, and deployment practices. The ideal candidate will bring deep expertise in DevSecOps tools and processes together with hands on experience in embedded software development, understanding the unique constraints of real time and safety critical code. The Embedded DevSecOps Lead will serve as the primary liaison between engineering teams, program managers, and senior leadership, translating complex technical concepts into clear business value. Success in this role requires strong technical leadership, the ability to communicate effectively with both technical and non technical stakeholders, and coordination across multiple networks and sites to ensure consistent standards and seamless collaboration. Key Responsibilities: Design and own end to end CI/CD pipelines for missile program codebases, selecting and integrating tools such as Jenkins, Nexus, SonarQube, and the Atlassian (Jira, Bitbucket, and Confluence) suite. Develop and maintain pipeline automation scripts and build configurations (CMake, Visual Studio, custom build scripts) to support continuous integration, testing, and delivery of embedded software. Architect secure artifact repositories and version control strategies, ensuring traceability, reproducibility, and compliance with DoD security requirements. Implement static analysis, code quality gates, and vulnerability scanning within the pipeline using SonarQube and other tooling to enforce secure coding practices across C++, Python, and VxWorks projects. Collaborate with embedded software engineers to tailor build and test processes for real time, safety critical applications, handling cross compilation, hardware in the loop testing, and simulation environments. Provide technical leadership and mentorship to development and operations teams, fostering DevSecOps best practices and continuous improvement. Coordinate across multiple networks and sites, standardizing pipeline configurations, ensuring consistent security posture, and facilitating seamless integration of code and artifacts across geographically dispersed teams. Maintain up to date documentation of pipeline architecture, build processes, security controls, and compliance evidence to support audits and accreditation activities. Basic Qualifications: BS in Electrical or Computer Engineering or related field with 8 years of embedded software/hardware development, preferably on safety critical or defense platform; or MS with 6 years of the same experience. Experience as a technical lead collaborating with cross-functional teams DevSecOps experience creating and maintaining CI/CD pipelines with the ability to identify needs for automation, design and implementation of CI/CD solutions Experience with GIT and Agile development, inclusive of generating, analyzing, and reporting on Agile and development metrics. Embedded software development experience with micro controllers, DSPs, FPGAs, and Real Time Operating Systems (RTOS) such as VxWorks, FreeRTOS, or QNX in Windows or Linux environments Current US Government Secret security clearance with ability to get cleared for SAP Preferred Qualifications: Proficiency in one or more of the following: C/C++/Python, Flight Software Development, Software Factory. Experience with full software development life-cycle Experience with tools like GitLab, Atlassian (Jira, Bitbucket and/or Jenkins), including CI/CD tools (SonarCube, Fortify, VectorCast) Cloud Technologies (AWS, Azure) with Containers and Orchestration (Podman, Kubernetes) Experience with simulators, STE development CISSP, CISM, or Security+ Certification Demonstrated ability to implement process improvements, streamline activities, and develop efficiencies Excellent communication and organizational skills; strong interpersonal and analytic skills Primary Level Salary Range: $142,200.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Amazon Development Center U.S., Inc.
Boston, Massachusetts
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities into the AI Threat Detection domain by developing detections for emerging threats targeting AI models and generative AI applications. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of data structures, algorithm design, statistics, and system design - Experience with AWS, Azure, or Google Cloud technology - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience with security and systems that handle sensitive data - Experience in ML and MLOps in production - Experience in AI threat detection Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MA, Boston - 168 400.00 USD annually
09/11/2026
Full time
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities into the AI Threat Detection domain by developing detections for emerging threats targeting AI models and generative AI applications. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of data structures, algorithm design, statistics, and system design - Experience with AWS, Azure, or Google Cloud technology - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience with security and systems that handle sensitive data - Experience in ML and MLOps in production - Experience in AI threat detection Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MA, Boston - 168 400.00 USD annually
Job Description Job Title: Digital Forensics Analyst Working Pattern: Fulltime - hybrid Working location: Indianapolis, IN Relocation assistance will be provided if applicable Why Rolls-Royce? At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere. By joining Rolls-Royce, you'll have the opportunity to create world-class power and propulsion solutions, pushing your problem-solving and ingenuity, to deliver real impact that puts safety first. You'll be given responsibility and the opportunity to grow in our high-performance culture. This is Infinite Potential. And it's your chance to really shine and contribute to one of the world's most recognized brands and a beacon for engineering excellence. Position Summary: We are seeking a highly motivated DFIR Specialist to join our Purple Team. This role bridges offensive and defensive security operations by combining incident response, threat hunting, digital forensics, adversary emulation, and detection engineering. The ideal candidate enjoys investigating real-world attacks, understanding adversary behavior, improving detection capabilities, and working collaboratively with red and blue teams to strengthen security posture. What you will be doing: Incident Response Lead or support investigations involving malware, ransomware, insider threats, and advanced persistent threats. Perform endpoint, memory, disk, and cloud forensics. Conduct triage activities during security incidents. Coordinate containment, eradication, and recovery efforts. Develop incident response playbooks and procedures. Produce executive and technical incident reports. Threat Hunting Conduct proactive hunts across endpoints, identity, cloud, and network telemetry. Develop hypotheses based on emerging adversary techniques. Analyze attack patterns using frameworks such as MITRE ATT&CK. Identify gaps in visibility and logging. Purple Team Operations Collaborate with red team operators to emulate adversary tactics. Validate detections against simulated attacks. Assist in planning and executing purple team exercises. Measure and improve detection coverage. Map detections and hunting content to ATT&CK techniques. Detection Engineering Develop and tune detections within SIEM and EDR platforms. Reduce false positives while improving fidelity. Create custom analytics, dashboards, and monitoring content. Automate repetitive investigation tasks through scripting. Forensics Acquire and analyze forensic artifacts from: Windows systems Linux systems Cloud environments Containers Identity providers Perform timeline reconstruction. Analyze persistence mechanisms. Basic Qualifications: Associate's degree in Cybersecurity, Computer Science, Information Technology, Mathematics and 2 + years of relevant experience OR; Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Mathematics and 2 + years of relevant experience OR; Master's degree in Cybersecurity, Computer Science, Information Technology, Mathematics OR; PhD in Cybersecurity, Computer Science, Information Technology, Mathematics OR; In lieu of a degree must have 6+ years' experience in Cyber Security or Information Technology Must be a US Citizen Preferred Qualifications: 3+ years focused on incident response, threat hunting, or DFIR. 6+ years' experience in Cyber Security or Information Technology Experience with various memory acquisition techniques/tools: FTK Imager Volatility 3 Velociraptor for remote memory dumps Experience with enterprise SIEM platforms such as: Microsoft Sentinel Splunk Enterprise Security Elastic Security Experience with EDR technologies including: Microsoft Defender XDR CrowdStrike Falcon SentinelOne Singularity Familiarity with: Windows Event Logs Sysmon KQL Sigma rules YARA PowerShell Python Memory analysis Malware triage Understanding of: Attack chains Identity-based attacks Cloud attack techniques Detection engineering principles Experience with adversary emulation frameworks. Familiarity with: Caldera Prelude Operator Velociraptor TheHive Cloud security investigation experience in: Microsoft Azure Amazon AWS Google Cloud Certifications: GIAC certifications such as GCFA, GCIH, GCFE, etc. Microsoft certifications such as SC-200, SC-400, AZ-500 CISSP, CCSP Our vision is to ensure that the quality and dynamism that shaped our history continues into our future. It's a bold pursuit, and we never stop striving to go further, faster, and better. We lead progress, creating the technologies that move us forward. If you're driven to grow, to learn, and to make a lasting difference, this is where you belong. Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. We are committed to providing a respectful and non-discriminatory workplace where individuality is valued and everyone can thrive. Infinite Potential Job Category Information Technology Job Posting Date 04 Sept 2026; 00:09 Pay Range Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $98,566-$160,169-Annually Location: Indianapolis, IN Benefits Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements. PandoLogic. Category:Technology,
09/11/2026
Full time
Job Description Job Title: Digital Forensics Analyst Working Pattern: Fulltime - hybrid Working location: Indianapolis, IN Relocation assistance will be provided if applicable Why Rolls-Royce? At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere. By joining Rolls-Royce, you'll have the opportunity to create world-class power and propulsion solutions, pushing your problem-solving and ingenuity, to deliver real impact that puts safety first. You'll be given responsibility and the opportunity to grow in our high-performance culture. This is Infinite Potential. And it's your chance to really shine and contribute to one of the world's most recognized brands and a beacon for engineering excellence. Position Summary: We are seeking a highly motivated DFIR Specialist to join our Purple Team. This role bridges offensive and defensive security operations by combining incident response, threat hunting, digital forensics, adversary emulation, and detection engineering. The ideal candidate enjoys investigating real-world attacks, understanding adversary behavior, improving detection capabilities, and working collaboratively with red and blue teams to strengthen security posture. What you will be doing: Incident Response Lead or support investigations involving malware, ransomware, insider threats, and advanced persistent threats. Perform endpoint, memory, disk, and cloud forensics. Conduct triage activities during security incidents. Coordinate containment, eradication, and recovery efforts. Develop incident response playbooks and procedures. Produce executive and technical incident reports. Threat Hunting Conduct proactive hunts across endpoints, identity, cloud, and network telemetry. Develop hypotheses based on emerging adversary techniques. Analyze attack patterns using frameworks such as MITRE ATT&CK. Identify gaps in visibility and logging. Purple Team Operations Collaborate with red team operators to emulate adversary tactics. Validate detections against simulated attacks. Assist in planning and executing purple team exercises. Measure and improve detection coverage. Map detections and hunting content to ATT&CK techniques. Detection Engineering Develop and tune detections within SIEM and EDR platforms. Reduce false positives while improving fidelity. Create custom analytics, dashboards, and monitoring content. Automate repetitive investigation tasks through scripting. Forensics Acquire and analyze forensic artifacts from: Windows systems Linux systems Cloud environments Containers Identity providers Perform timeline reconstruction. Analyze persistence mechanisms. Basic Qualifications: Associate's degree in Cybersecurity, Computer Science, Information Technology, Mathematics and 2 + years of relevant experience OR; Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Mathematics and 2 + years of relevant experience OR; Master's degree in Cybersecurity, Computer Science, Information Technology, Mathematics OR; PhD in Cybersecurity, Computer Science, Information Technology, Mathematics OR; In lieu of a degree must have 6+ years' experience in Cyber Security or Information Technology Must be a US Citizen Preferred Qualifications: 3+ years focused on incident response, threat hunting, or DFIR. 6+ years' experience in Cyber Security or Information Technology Experience with various memory acquisition techniques/tools: FTK Imager Volatility 3 Velociraptor for remote memory dumps Experience with enterprise SIEM platforms such as: Microsoft Sentinel Splunk Enterprise Security Elastic Security Experience with EDR technologies including: Microsoft Defender XDR CrowdStrike Falcon SentinelOne Singularity Familiarity with: Windows Event Logs Sysmon KQL Sigma rules YARA PowerShell Python Memory analysis Malware triage Understanding of: Attack chains Identity-based attacks Cloud attack techniques Detection engineering principles Experience with adversary emulation frameworks. Familiarity with: Caldera Prelude Operator Velociraptor TheHive Cloud security investigation experience in: Microsoft Azure Amazon AWS Google Cloud Certifications: GIAC certifications such as GCFA, GCIH, GCFE, etc. Microsoft certifications such as SC-200, SC-400, AZ-500 CISSP, CCSP Our vision is to ensure that the quality and dynamism that shaped our history continues into our future. It's a bold pursuit, and we never stop striving to go further, faster, and better. We lead progress, creating the technologies that move us forward. If you're driven to grow, to learn, and to make a lasting difference, this is where you belong. Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. We are committed to providing a respectful and non-discriminatory workplace where individuality is valued and everyone can thrive. Infinite Potential Job Category Information Technology Job Posting Date 04 Sept 2026; 00:09 Pay Range Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $98,566-$160,169-Annually Location: Indianapolis, IN Benefits Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements. PandoLogic. Category:Technology,
Senior Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) Overview: 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. In this role, you will: 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang 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 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 Sr. Mgr, AI Engineering McLean, VA: $229,900 - $262,400 for Sr. Mgr, AI Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Francisco, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Jose, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering 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).
09/11/2026
Full time
Senior Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) Overview: 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. In this role, you will: 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. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. 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 get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang 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 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 Sr. Mgr, AI Engineering McLean, VA: $229,900 - $262,400 for Sr. Mgr, AI Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Francisco, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Jose, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering 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 AI Engineer (AI Foundations) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience 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, 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 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: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/11/2026
Full time
Senior AI Engineer (AI Foundations) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. 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 enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer 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 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience 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, 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 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: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Senior Infrastructure Engineer (Network), this role encompasses the comprehensive design, deployment, and support of large-scale enterprise networking infrastructure, including WAN, LAN, data center, and cloud environments. Key responsibilities involve driving network transformation initiatives focused on simplification, standardization, resilience, and operational efficiency, alongside developing engineering standards, implementation plans, and technical documentation. This includes performing network assessments, capacity planning, performance optimization, and remediation, as well as evaluating emerging technologies to enhance scalability, security, and reliability. Specifically, within Wide Area Networks (WAN), enterprise routing environments, the role involves architecting and deploying solutions using BGP, OSPF, IS-IS, MPLS, EVPN/VXLAN, SD-WAN, and SASE, as well as designing cloud connectivity for Azure and AWS. Network automation and operations are critical, requiring the development and implementation of Infrastructure-as-Code solutions, automated workflows, and process improvements to streamline operations and enhance deployment consistency. Furthermore, the role emphasizes modern network security by designing and deploying Zero Trust, SASE, and segmentation architectures as well as implementing security best practices. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in San Antonio, TX location. Relocation assistance is not available for this position. What you'll do: Independently designs scalable IT system infrastructure, provides oversight and priority for system change - reserves execution for complex implementations, and automates service delivery and maintenance tasks; provides direction and priority for monitoring and tooling activities. Independently resolves highly complex technology production issues and leads troubleshooting of end-to-end solutions that span across multiple systems. Leads analysis of end-to-end system failures to identify opportunities across multiple systems. Makes recommendations to business leaders on best solutions. Independently experiments with new patterns and technologies. Helps establish and improve engineering best practices, concepts, and patterns with peers and the business. Understands the customer and proactively identifies innovative solutions and ideas for the product/business. Mentors' engineers, coach engineers on design, development, and maintenance of systems. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of infrastructure experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s) to include 3 years' experience in an Operations role supporting complex environment deployment and infrastructure management activities or applicable IT experience such as IT Management, Software Development, and Network Engineering. 4 years of experience in creating, modifying, and maintaining network infrastructure and individual system components. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. What sets you apart: Experience in developing and deploying large scale enterprise Wide Area networking environments Experience in simplifying WAN Services while increasing reliability and resiliency, while maintaining necessary segmentation to maintain a secure environment. CCIE for 4 or more years in Routing/Switching or Service Provider OR CCNP for 6 or more years focused on Routing/Switching. Arista Certifications such as Arista Certified Engineer (ACE) at Professional or Expert level. Compensation range: The salary range for this position is: $114,080.00 - $218,030.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
09/11/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Senior Infrastructure Engineer (Network), this role encompasses the comprehensive design, deployment, and support of large-scale enterprise networking infrastructure, including WAN, LAN, data center, and cloud environments. Key responsibilities involve driving network transformation initiatives focused on simplification, standardization, resilience, and operational efficiency, alongside developing engineering standards, implementation plans, and technical documentation. This includes performing network assessments, capacity planning, performance optimization, and remediation, as well as evaluating emerging technologies to enhance scalability, security, and reliability. Specifically, within Wide Area Networks (WAN), enterprise routing environments, the role involves architecting and deploying solutions using BGP, OSPF, IS-IS, MPLS, EVPN/VXLAN, SD-WAN, and SASE, as well as designing cloud connectivity for Azure and AWS. Network automation and operations are critical, requiring the development and implementation of Infrastructure-as-Code solutions, automated workflows, and process improvements to streamline operations and enhance deployment consistency. Furthermore, the role emphasizes modern network security by designing and deploying Zero Trust, SASE, and segmentation architectures as well as implementing security best practices. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in San Antonio, TX location. Relocation assistance is not available for this position. What you'll do: Independently designs scalable IT system infrastructure, provides oversight and priority for system change - reserves execution for complex implementations, and automates service delivery and maintenance tasks; provides direction and priority for monitoring and tooling activities. Independently resolves highly complex technology production issues and leads troubleshooting of end-to-end solutions that span across multiple systems. Leads analysis of end-to-end system failures to identify opportunities across multiple systems. Makes recommendations to business leaders on best solutions. Independently experiments with new patterns and technologies. Helps establish and improve engineering best practices, concepts, and patterns with peers and the business. Understands the customer and proactively identifies innovative solutions and ideas for the product/business. Mentors' engineers, coach engineers on design, development, and maintenance of systems. Develop software defined infrastructure in code in CI/CD Pipelines. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of infrastructure experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s) to include 3 years' experience in an Operations role supporting complex environment deployment and infrastructure management activities or applicable IT experience such as IT Management, Software Development, and Network Engineering. 4 years of experience in creating, modifying, and maintaining network infrastructure and individual system components. Advanced level of business acumen in the areas of business operations, risk management, industry practices and emerging trends. Knowledge and proficient understanding of designing scalable IT system infrastructures, implementing system changes, or automating service delivery and maintenance tasks. Demonstrated experience working with cloud technologies and tools. What sets you apart: Experience in developing and deploying large scale enterprise Wide Area networking environments Experience in simplifying WAN Services while increasing reliability and resiliency, while maintaining necessary segmentation to maintain a secure environment. CCIE for 4 or more years in Routing/Switching or Service Provider OR CCNP for 6 or more years focused on Routing/Switching. Arista Certifications such as Arista Certified Engineer (ACE) at Professional or Expert level. Compensation range: The salary range for this position is: $114,080.00 - $218,030.00. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Description Job Title: Digital Forensics Analyst Working Pattern: Fulltime - hybrid Working location: Indianapolis, IN Relocation assistance will be provided if applicable Why Rolls-Royce? At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere. By joining Rolls-Royce, you'll have the opportunity to create world-class power and propulsion solutions, pushing your problem-solving and ingenuity, to deliver real impact that puts safety first. You'll be given responsibility and the opportunity to grow in our high-performance culture. This is Infinite Potential. And it's your chance to really shine and contribute to one of the world's most recognized brands and a beacon for engineering excellence. Position Summary: We are seeking a highly motivated DFIR Specialist to join our Purple Team. This role bridges offensive and defensive security operations by combining incident response, threat hunting, digital forensics, adversary emulation, and detection engineering. The ideal candidate enjoys investigating real-world attacks, understanding adversary behavior, improving detection capabilities, and working collaboratively with red and blue teams to strengthen security posture. What you will be doing: Incident Response Lead or support investigations involving malware, ransomware, insider threats, and advanced persistent threats. Perform endpoint, memory, disk, and cloud forensics. Conduct triage activities during security incidents. Coordinate containment, eradication, and recovery efforts. Develop incident response playbooks and procedures. Produce executive and technical incident reports. Threat Hunting Conduct proactive hunts across endpoints, identity, cloud, and network telemetry. Develop hypotheses based on emerging adversary techniques. Analyze attack patterns using frameworks such as MITRE ATT&CK. Identify gaps in visibility and logging. Purple Team Operations Collaborate with red team operators to emulate adversary tactics. Validate detections against simulated attacks. Assist in planning and executing purple team exercises. Measure and improve detection coverage. Map detections and hunting content to ATT&CK techniques. Detection Engineering Develop and tune detections within SIEM and EDR platforms. Reduce false positives while improving fidelity. Create custom analytics, dashboards, and monitoring content. Automate repetitive investigation tasks through scripting. Forensics Acquire and analyze forensic artifacts from: Windows systems Linux systems Cloud environments Containers Identity providers Perform timeline reconstruction. Analyze persistence mechanisms. Basic Qualifications: Associate's degree in Cybersecurity, Computer Science, Information Technology, Mathematics and 2 + years of relevant experience OR; Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Mathematics and 2 + years of relevant experience OR; Master's degree in Cybersecurity, Computer Science, Information Technology, Mathematics OR; PhD in Cybersecurity, Computer Science, Information Technology, Mathematics OR; In lieu of a degree must have 6+ years' experience in Cyber Security or Information Technology Must be a US Citizen Preferred Qualifications: 3+ years focused on incident response, threat hunting, or DFIR. 6+ years' experience in Cyber Security or Information Technology Experience with various memory acquisition techniques/tools: FTK Imager Volatility 3 Velociraptor for remote memory dumps Experience with enterprise SIEM platforms such as: Microsoft Sentinel Splunk Enterprise Security Elastic Security Experience with EDR technologies including: Microsoft Defender XDR CrowdStrike Falcon SentinelOne Singularity Familiarity with: Windows Event Logs Sysmon KQL Sigma rules YARA PowerShell Python Memory analysis Malware triage Understanding of: Attack chains Identity-based attacks Cloud attack techniques Detection engineering principles Experience with adversary emulation frameworks. Familiarity with: Caldera Prelude Operator Velociraptor TheHive Cloud security investigation experience in: Microsoft Azure Amazon AWS Google Cloud Certifications: GIAC certifications such as GCFA, GCIH, GCFE, etc. Microsoft certifications such as SC-200, SC-400, AZ-500 CISSP, CCSP Our vision is to ensure that the quality and dynamism that shaped our history continues into our future. It's a bold pursuit, and we never stop striving to go further, faster, and better. We lead progress, creating the technologies that move us forward. If you're driven to grow, to learn, and to make a lasting difference, this is where you belong. Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. We are committed to providing a respectful and non-discriminatory workplace where individuality is valued and everyone can thrive. Infinite Potential Job Category Information Technology Job Posting Date 04 Sept 2026; 00:09 Pay Range Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $98,566-$160,169-Annually Location: Indianapolis, IN Benefits Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements.
09/11/2026
Full time
Job Description Job Title: Digital Forensics Analyst Working Pattern: Fulltime - hybrid Working location: Indianapolis, IN Relocation assistance will be provided if applicable Why Rolls-Royce? At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere. By joining Rolls-Royce, you'll have the opportunity to create world-class power and propulsion solutions, pushing your problem-solving and ingenuity, to deliver real impact that puts safety first. You'll be given responsibility and the opportunity to grow in our high-performance culture. This is Infinite Potential. And it's your chance to really shine and contribute to one of the world's most recognized brands and a beacon for engineering excellence. Position Summary: We are seeking a highly motivated DFIR Specialist to join our Purple Team. This role bridges offensive and defensive security operations by combining incident response, threat hunting, digital forensics, adversary emulation, and detection engineering. The ideal candidate enjoys investigating real-world attacks, understanding adversary behavior, improving detection capabilities, and working collaboratively with red and blue teams to strengthen security posture. What you will be doing: Incident Response Lead or support investigations involving malware, ransomware, insider threats, and advanced persistent threats. Perform endpoint, memory, disk, and cloud forensics. Conduct triage activities during security incidents. Coordinate containment, eradication, and recovery efforts. Develop incident response playbooks and procedures. Produce executive and technical incident reports. Threat Hunting Conduct proactive hunts across endpoints, identity, cloud, and network telemetry. Develop hypotheses based on emerging adversary techniques. Analyze attack patterns using frameworks such as MITRE ATT&CK. Identify gaps in visibility and logging. Purple Team Operations Collaborate with red team operators to emulate adversary tactics. Validate detections against simulated attacks. Assist in planning and executing purple team exercises. Measure and improve detection coverage. Map detections and hunting content to ATT&CK techniques. Detection Engineering Develop and tune detections within SIEM and EDR platforms. Reduce false positives while improving fidelity. Create custom analytics, dashboards, and monitoring content. Automate repetitive investigation tasks through scripting. Forensics Acquire and analyze forensic artifacts from: Windows systems Linux systems Cloud environments Containers Identity providers Perform timeline reconstruction. Analyze persistence mechanisms. Basic Qualifications: Associate's degree in Cybersecurity, Computer Science, Information Technology, Mathematics and 2 + years of relevant experience OR; Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Mathematics and 2 + years of relevant experience OR; Master's degree in Cybersecurity, Computer Science, Information Technology, Mathematics OR; PhD in Cybersecurity, Computer Science, Information Technology, Mathematics OR; In lieu of a degree must have 6+ years' experience in Cyber Security or Information Technology Must be a US Citizen Preferred Qualifications: 3+ years focused on incident response, threat hunting, or DFIR. 6+ years' experience in Cyber Security or Information Technology Experience with various memory acquisition techniques/tools: FTK Imager Volatility 3 Velociraptor for remote memory dumps Experience with enterprise SIEM platforms such as: Microsoft Sentinel Splunk Enterprise Security Elastic Security Experience with EDR technologies including: Microsoft Defender XDR CrowdStrike Falcon SentinelOne Singularity Familiarity with: Windows Event Logs Sysmon KQL Sigma rules YARA PowerShell Python Memory analysis Malware triage Understanding of: Attack chains Identity-based attacks Cloud attack techniques Detection engineering principles Experience with adversary emulation frameworks. Familiarity with: Caldera Prelude Operator Velociraptor TheHive Cloud security investigation experience in: Microsoft Azure Amazon AWS Google Cloud Certifications: GIAC certifications such as GCFA, GCIH, GCFE, etc. Microsoft certifications such as SC-200, SC-400, AZ-500 CISSP, CCSP Our vision is to ensure that the quality and dynamism that shaped our history continues into our future. It's a bold pursuit, and we never stop striving to go further, faster, and better. We lead progress, creating the technologies that move us forward. If you're driven to grow, to learn, and to make a lasting difference, this is where you belong. Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics. We are committed to providing a respectful and non-discriminatory workplace where individuality is valued and everyone can thrive. Infinite Potential Job Category Information Technology Job Posting Date 04 Sept 2026; 00:09 Pay Range Pay ranges for remote employees are based on the state where the employee resides and may vary from the posted range. $98,566-$160,169-Annually Location: Indianapolis, IN Benefits Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements.
Job Description Job Description Transform Data Into Insights That Drive Business SuccessAre you passionate about data, analytics, and solving complex business challenges? Do you thrive in an environment where your work directly influences strategic decision-making?We're seeking a Business Intelligence Developer to join our growing IT Reporting Resources team. In this role, you'll design, develop, and optimize reporting solutions, data models, and database systems that deliver critical business insights across the organization. You'll work with modern Microsoft data technologies, collaborate with stakeholders across departments, and play a key role in ensuring data is accurate, accessible, and actionable. What You'll DoReporting & AnalyticsPartner with business stakeholders to gather and define reporting requirements.Develop, maintain, and enhance enterprise reporting solutions.Create and manage reports using SQL Server Reporting Services (SSRS) and Power BI.Support reporting needs for both internal users and external business partners.Deliver ad hoc analysis and database query support for management and executive teams.Provide user support, training, and documentation for reporting tools and dashboards. Data Modeling & Database DevelopmentDesign, maintain, and improve enterprise relational data models.Build and optimize SQL tables, views, functions, and stored procedures.Evaluate and implement enhancements to data structures and reporting databases.Analyze business requirements and recommend efficient database solutions.Support and improve Microsoft Access applications and user interfaces. Integration & AutomationDevelop and maintain ETL and integration processes using Microsoft technologies.Create and manage SQL Agent jobs and automated file delivery solutions.Support data integrations across multiple platforms and systems.Monitor processing schedules and ensure reliable data flow across the organization. Database Administration & PerformanceMonitor and optimize database and reporting performance.Troubleshoot data issues and implement long-term solutions.Collaborate with IT Engineering on system deployments, upgrades, and enhancements.Ensure adherence to data governance, security, and reliability standards. What You'll BringRequired QualificationsBachelor 's degree in Computer Science, Information Systems, or equivalent practical experience.3+ years of experience in business intelligence, reporting, database development, or related fields.Strong SQL Server skills, including complex queries, joins, and stored procedures.Experience with:SQL Server Integration Services (SSIS)SQL Server Reporting Services (SSRS)Power BISQL Server Management Studio (SSMS)Visual StudioProficiency with Microsoft Office tools, including Excel, Access, and PowerPoint.Strong understanding of relational database concepts, data modeling, and data integrity practices.Excellent analytical, problem-solving, and communication skills. Preferred QualificationsExperience with SQL Administration and SQL Agent Jobs.Familiarity with SFTP tools such as WinSCP.Experience working in financial services, insurance, or other regulated industries.Knowledge of Azure cloud technologies and cloud-based data platforms.Experience with Azure Data Factory, Workato, PowerShell, Azure DevOps, or CI/CD processes.Familiarity with big data environments and cloud-native data solutions. Why Join Us?Work with modern Microsoft BI and data technologies.Make a direct impact on business strategy and decision-making.Collaborate with cross-functional teams across the organization.Expand your technical expertise through continuous learning and professional development.Be part of a team that values innovation, accuracy, and data-driven excellence. Ready to Apply?If you're a data professional who enjoys transforming complex information into meaningful business insights, we'd love to hear from you. Apply today and help us build the next generation of reporting and analytics solutions.
09/11/2026
Full time
Job Description Job Description Transform Data Into Insights That Drive Business SuccessAre you passionate about data, analytics, and solving complex business challenges? Do you thrive in an environment where your work directly influences strategic decision-making?We're seeking a Business Intelligence Developer to join our growing IT Reporting Resources team. In this role, you'll design, develop, and optimize reporting solutions, data models, and database systems that deliver critical business insights across the organization. You'll work with modern Microsoft data technologies, collaborate with stakeholders across departments, and play a key role in ensuring data is accurate, accessible, and actionable. What You'll DoReporting & AnalyticsPartner with business stakeholders to gather and define reporting requirements.Develop, maintain, and enhance enterprise reporting solutions.Create and manage reports using SQL Server Reporting Services (SSRS) and Power BI.Support reporting needs for both internal users and external business partners.Deliver ad hoc analysis and database query support for management and executive teams.Provide user support, training, and documentation for reporting tools and dashboards. Data Modeling & Database DevelopmentDesign, maintain, and improve enterprise relational data models.Build and optimize SQL tables, views, functions, and stored procedures.Evaluate and implement enhancements to data structures and reporting databases.Analyze business requirements and recommend efficient database solutions.Support and improve Microsoft Access applications and user interfaces. Integration & AutomationDevelop and maintain ETL and integration processes using Microsoft technologies.Create and manage SQL Agent jobs and automated file delivery solutions.Support data integrations across multiple platforms and systems.Monitor processing schedules and ensure reliable data flow across the organization. Database Administration & PerformanceMonitor and optimize database and reporting performance.Troubleshoot data issues and implement long-term solutions.Collaborate with IT Engineering on system deployments, upgrades, and enhancements.Ensure adherence to data governance, security, and reliability standards. What You'll BringRequired QualificationsBachelor 's degree in Computer Science, Information Systems, or equivalent practical experience.3+ years of experience in business intelligence, reporting, database development, or related fields.Strong SQL Server skills, including complex queries, joins, and stored procedures.Experience with:SQL Server Integration Services (SSIS)SQL Server Reporting Services (SSRS)Power BISQL Server Management Studio (SSMS)Visual StudioProficiency with Microsoft Office tools, including Excel, Access, and PowerPoint.Strong understanding of relational database concepts, data modeling, and data integrity practices.Excellent analytical, problem-solving, and communication skills. Preferred QualificationsExperience with SQL Administration and SQL Agent Jobs.Familiarity with SFTP tools such as WinSCP.Experience working in financial services, insurance, or other regulated industries.Knowledge of Azure cloud technologies and cloud-based data platforms.Experience with Azure Data Factory, Workato, PowerShell, Azure DevOps, or CI/CD processes.Familiarity with big data environments and cloud-native data solutions. Why Join Us?Work with modern Microsoft BI and data technologies.Make a direct impact on business strategy and decision-making.Collaborate with cross-functional teams across the organization.Expand your technical expertise through continuous learning and professional development.Be part of a team that values innovation, accuracy, and data-driven excellence. Ready to Apply?If you're a data professional who enjoys transforming complex information into meaningful business insights, we'd love to hear from you. Apply today and help us build the next generation of reporting and analytics solutions.
Job Description Job Description Senior Business Intelligence Engineer Location: Irving, TX (Onsite 5 Days/Week) Employment Type: Contract-to-Hire (3-6 Months) Work Authorization: Must be authorized to work in the U.S. without sponsorship Position Overview Our client is seeking a Senior Business Intelligence Engineer to lead the development of enterprise reporting and analytics solutions that empower business leaders to make informed, data-driven decisions. This individual will be responsible for designing intuitive dashboards, semantic models, and reporting solutions with a primary focus on Power BI. The ideal candidate combines strong reporting and visualization expertise with solid SQL skills and a deep understanding of how data is structured behind the scenes. While this role is not focused on building data pipelines or data warehouse architecture, the successful candidate must be comfortable working with complex datasets, understanding SQL logic, and collaborating closely with data engineering teams to deliver accurate, scalable reporting solutions. This role will play a key part in improving reporting capabilities across the organization while establishing best practices for visualization, usability, performance, and governance. Key Technologies Power BI Tableau SSRS SQL Server Azure SQL DAX Power Query Data Modeling Primary Responsibilities Design, develop, and maintain enterprise reporting solutions using Power BI. Create intuitive dashboards, scorecards, and visualizations that support operational and executive decision-making. Develop and maintain semantic models, datasets, measures, and calculated fields. Build and optimize DAX calculations and reporting logic. Develop and support SSRS reports and legacy reporting solutions. Design and maintain Tableau dashboards to support broader enterprise reporting initiatives. Write and modify SQL queries to support reporting requirements, data validation, and troubleshooting efforts. Partner closely with data engineering teams to ensure reporting data structures support business requirements. Translate business needs into meaningful visualizations and actionable insights. Optimize report performance through efficient model design, aggregations, query optimization, and best practices. Implement row-level security and governance standards across reporting platforms. Promote best practices around data visualization, user experience, report usability, and dashboard design. Provide guidance and support to business users consuming reporting solutions. Required Qualifications 5+ years of experience developing enterprise reporting and business intelligence solutions. Advanced expertise in Power BI, including: Semantic models Datasets DAX development Performance optimization Workspace administration Security and governance Strong SQL skills with the ability to: Write complex joins Create aggregations Utilize CTEs and subqueries Validate and troubleshoot reporting data Experience developing and supporting SSRS reports. Experience building dashboards and visualizations in Tableau. Strong understanding of data visualization principles and dashboard design best practices. Experience translating business requirements into reporting solutions and executive-level insights. Strong analytical and problem-solving skills. Preferred Qualifications Experience supporting large enterprise reporting environments. Familiarity with Azure SQL, SQL Server, and modern cloud-based data platforms. Experience working with data engineering teams supporting Azure Data Factory or similar ETL solutions. Understanding of dimensional modeling concepts including fact and dimension tables. Experience supporting finance, operations, supply chain, or enterprise business functions. What Success Looks Like Deliver high-quality dashboards and reports that are trusted and widely adopted by business users. Improve reporting usability, consistency, and performance across the organization. Enable faster decision-making through intuitive and meaningful data visualizations. Establish reporting standards and best practices that improve scalability and maintainability. Serve as a trusted partner between business stakeholders and technical data teams.
09/11/2026
Full time
Job Description Job Description Senior Business Intelligence Engineer Location: Irving, TX (Onsite 5 Days/Week) Employment Type: Contract-to-Hire (3-6 Months) Work Authorization: Must be authorized to work in the U.S. without sponsorship Position Overview Our client is seeking a Senior Business Intelligence Engineer to lead the development of enterprise reporting and analytics solutions that empower business leaders to make informed, data-driven decisions. This individual will be responsible for designing intuitive dashboards, semantic models, and reporting solutions with a primary focus on Power BI. The ideal candidate combines strong reporting and visualization expertise with solid SQL skills and a deep understanding of how data is structured behind the scenes. While this role is not focused on building data pipelines or data warehouse architecture, the successful candidate must be comfortable working with complex datasets, understanding SQL logic, and collaborating closely with data engineering teams to deliver accurate, scalable reporting solutions. This role will play a key part in improving reporting capabilities across the organization while establishing best practices for visualization, usability, performance, and governance. Key Technologies Power BI Tableau SSRS SQL Server Azure SQL DAX Power Query Data Modeling Primary Responsibilities Design, develop, and maintain enterprise reporting solutions using Power BI. Create intuitive dashboards, scorecards, and visualizations that support operational and executive decision-making. Develop and maintain semantic models, datasets, measures, and calculated fields. Build and optimize DAX calculations and reporting logic. Develop and support SSRS reports and legacy reporting solutions. Design and maintain Tableau dashboards to support broader enterprise reporting initiatives. Write and modify SQL queries to support reporting requirements, data validation, and troubleshooting efforts. Partner closely with data engineering teams to ensure reporting data structures support business requirements. Translate business needs into meaningful visualizations and actionable insights. Optimize report performance through efficient model design, aggregations, query optimization, and best practices. Implement row-level security and governance standards across reporting platforms. Promote best practices around data visualization, user experience, report usability, and dashboard design. Provide guidance and support to business users consuming reporting solutions. Required Qualifications 5+ years of experience developing enterprise reporting and business intelligence solutions. Advanced expertise in Power BI, including: Semantic models Datasets DAX development Performance optimization Workspace administration Security and governance Strong SQL skills with the ability to: Write complex joins Create aggregations Utilize CTEs and subqueries Validate and troubleshoot reporting data Experience developing and supporting SSRS reports. Experience building dashboards and visualizations in Tableau. Strong understanding of data visualization principles and dashboard design best practices. Experience translating business requirements into reporting solutions and executive-level insights. Strong analytical and problem-solving skills. Preferred Qualifications Experience supporting large enterprise reporting environments. Familiarity with Azure SQL, SQL Server, and modern cloud-based data platforms. Experience working with data engineering teams supporting Azure Data Factory or similar ETL solutions. Understanding of dimensional modeling concepts including fact and dimension tables. Experience supporting finance, operations, supply chain, or enterprise business functions. What Success Looks Like Deliver high-quality dashboards and reports that are trusted and widely adopted by business users. Improve reporting usability, consistency, and performance across the organization. Enable faster decision-making through intuitive and meaningful data visualizations. Establish reporting standards and best practices that improve scalability and maintainability. Serve as a trusted partner between business stakeholders and technical data teams.
Cox Automotive is seeking a Senior Software Engineer to design and build scalable, cloud-based platforms powering leading automotive and media brands. You'll develop high-quality, testable code and APIs in an agile environment, collaborating with product, data, and DevOps teams to deliver resilient, high-availability services for dealers and consumers. Responsibilities include architecture input, code reviews, performance optimization, and mentoring engineers. You'll champion engineering best practices, security, and observability while helping modernize legacy systems. Join a people-first, inclusive culture with strong benefits and growth opportunities. Responsibilities Design, develop, and maintain scalable, cloud-based backend services and APIs Contribute to system architecture and technical design decisions Implement automated testing, code quality, and observability best practices Collaborate with product, data, and Dev Ops teams in an agile environment Optimize performance, reliability, and security of production systems Perform code reviews and provide technical mentorship to engineers Help modernize legacy systems to modern cloud-native architectures Participate in on-call or production support rotations as needed Required Skills Java or C Script/Type Script Cloud platforms (AWS/Azure/GCP) Microservices architecture RESTful APIs Relational and No SQL databases CI/CD pipelines Automated testing (unit/integration) Containerization (Docker/Kubernetes) System design and scalability
09/11/2026
Full time
Cox Automotive is seeking a Senior Software Engineer to design and build scalable, cloud-based platforms powering leading automotive and media brands. You'll develop high-quality, testable code and APIs in an agile environment, collaborating with product, data, and DevOps teams to deliver resilient, high-availability services for dealers and consumers. Responsibilities include architecture input, code reviews, performance optimization, and mentoring engineers. You'll champion engineering best practices, security, and observability while helping modernize legacy systems. Join a people-first, inclusive culture with strong benefits and growth opportunities. Responsibilities Design, develop, and maintain scalable, cloud-based backend services and APIs Contribute to system architecture and technical design decisions Implement automated testing, code quality, and observability best practices Collaborate with product, data, and Dev Ops teams in an agile environment Optimize performance, reliability, and security of production systems Perform code reviews and provide technical mentorship to engineers Help modernize legacy systems to modern cloud-native architectures Participate in on-call or production support rotations as needed Required Skills Java or C Script/Type Script Cloud platforms (AWS/Azure/GCP) Microservices architecture RESTful APIs Relational and No SQL databases CI/CD pipelines Automated testing (unit/integration) Containerization (Docker/Kubernetes) System design and scalability
Allstate is seeking a Workforce Identity Service Lead Consultant to design, implement, and optimize identity and access management services in a complex finance and insurance environment. You will lead IAM roadmap execution, integrate workforce identity solutions with cloud and on-prem systems, and ensure regulatory and security compliance. Partner with security, HR, and technology teams to modernize authentication, lifecycle management, and governance, while mentoring engineers, driving standards, and improving resilience, user experience, and operational efficiency across the enterprise. Responsibilities Lead design and implementation of workforce identity and access management services Own IAM service roadmap and drive modernization initiatives Integrate identity solutions with cloud and on-prem enterprise platforms Ensure compliance with security, privacy, and financial regulations Define and enforce IAM standards, patterns, and best practices Collaborate with security, HR, and technology teams on identity lifecycle Optimize authentication, authorization, and user experience Monitor service performance and drive reliability and resilience improvements Mentor engineers and analysts supporting IAM services Contribute to risk assessments, audits, and incident response for IAM Required Skills Identity and Access Management (IAM) design and operations Single Sign-On (SSO) and federation (SAML, OAuth, Open ID Connect) Identity lifecycle and access governance Role-based access control (RBAC) and policy management Cloud identity platforms (e.g., Azure AD, Okta, Ping) Directory services (AD/LDAP) Security and regulatory compliance (e.g., SOX, HIPAA, PCI) Automation and scripting for IAM (e.g., Power Shell, Python) Service management and incident/problem management Technical leadership and stakeholder collaboration
09/11/2026
Full time
Allstate is seeking a Workforce Identity Service Lead Consultant to design, implement, and optimize identity and access management services in a complex finance and insurance environment. You will lead IAM roadmap execution, integrate workforce identity solutions with cloud and on-prem systems, and ensure regulatory and security compliance. Partner with security, HR, and technology teams to modernize authentication, lifecycle management, and governance, while mentoring engineers, driving standards, and improving resilience, user experience, and operational efficiency across the enterprise. Responsibilities Lead design and implementation of workforce identity and access management services Own IAM service roadmap and drive modernization initiatives Integrate identity solutions with cloud and on-prem enterprise platforms Ensure compliance with security, privacy, and financial regulations Define and enforce IAM standards, patterns, and best practices Collaborate with security, HR, and technology teams on identity lifecycle Optimize authentication, authorization, and user experience Monitor service performance and drive reliability and resilience improvements Mentor engineers and analysts supporting IAM services Contribute to risk assessments, audits, and incident response for IAM Required Skills Identity and Access Management (IAM) design and operations Single Sign-On (SSO) and federation (SAML, OAuth, Open ID Connect) Identity lifecycle and access governance Role-based access control (RBAC) and policy management Cloud identity platforms (e.g., Azure AD, Okta, Ping) Directory services (AD/LDAP) Security and regulatory compliance (e.g., SOX, HIPAA, PCI) Automation and scripting for IAM (e.g., Power Shell, Python) Service management and incident/problem management Technical leadership and stakeholder collaboration
Allstate is hiring a Product Engineer focused on Infrastructure-as-Code to advance our cloud platforms for insurance and financial services. You will design reusable IaC modules, automate infrastructure provisioning, and embed security and compliance into pipelines. Partner with product, security, and ops teams to build scalable, resilient environments for customer-facing applications. Mentor engineers, review designs, and drive best practices in Git workflows, testing, and observability. We offer a collaborative, flexible culture with strong learning, mobility, and leadership development opportunities in a mission-driven environment. Responsibilities Design and maintain reusable Infrastructure-as-Code modules for cloud platforms Automate provisioning, configuration, and scaling of cloud infrastructure Embed security, compliance, and policy-as-code controls into Ia C and pipelines Collaborate with product, security, and operations teams to support business applications Implement and improve CI/CD pipelines for infrastructure deployments Ensure reliability, performance, and observability of cloud environments Conduct code and design reviews to enforce engineering best practices Mentor and guide engineers on Ia C patterns, tooling, and standards Document architectures, runbooks, and reusable patterns for teams Contribute to long-term cloud and platform engineering strategy at Allstate Required Skills Infrastructure as Code (Terraform/Cloud Formation/Bicep) Public cloud platforms (AWS/Azure/GCP) CI/CD pipelines (Jenkins/Git Hub Actions/Azure Dev Ops) Configuration management (Ansible/Chef/Puppet) Containerization and Kubernetes Git and version control workflows Security and compliance automation (policy as code) Scripting (Python/Power Shell/Bash) Monitoring and logging tools Architecture and design for scalable systems
09/11/2026
Full time
Allstate is hiring a Product Engineer focused on Infrastructure-as-Code to advance our cloud platforms for insurance and financial services. You will design reusable IaC modules, automate infrastructure provisioning, and embed security and compliance into pipelines. Partner with product, security, and ops teams to build scalable, resilient environments for customer-facing applications. Mentor engineers, review designs, and drive best practices in Git workflows, testing, and observability. We offer a collaborative, flexible culture with strong learning, mobility, and leadership development opportunities in a mission-driven environment. Responsibilities Design and maintain reusable Infrastructure-as-Code modules for cloud platforms Automate provisioning, configuration, and scaling of cloud infrastructure Embed security, compliance, and policy-as-code controls into Ia C and pipelines Collaborate with product, security, and operations teams to support business applications Implement and improve CI/CD pipelines for infrastructure deployments Ensure reliability, performance, and observability of cloud environments Conduct code and design reviews to enforce engineering best practices Mentor and guide engineers on Ia C patterns, tooling, and standards Document architectures, runbooks, and reusable patterns for teams Contribute to long-term cloud and platform engineering strategy at Allstate Required Skills Infrastructure as Code (Terraform/Cloud Formation/Bicep) Public cloud platforms (AWS/Azure/GCP) CI/CD pipelines (Jenkins/Git Hub Actions/Azure Dev Ops) Configuration management (Ansible/Chef/Puppet) Containerization and Kubernetes Git and version control workflows Security and compliance automation (policy as code) Scripting (Python/Power Shell/Bash) Monitoring and logging tools Architecture and design for scalable systems
Allstate is seeking a Product Engineer - Infra as Code Lead Consultant to design and lead infrastructure-as-code solutions that power innovative insurance and financial products. In this role, you'll architect secure, scalable cloud environments, build reusable IaC modules, and drive automation across development and operations teams. You'll collaborate with engineers, security, and product leaders to implement compliant, resilient platforms, mentor engineers, and champion best practices. Join a flexible, inclusive, learning-focused culture where your technical leadership directly improves reliability, speed, and customer experience. Responsibilities Design and architect secure, scalable infrastructure-as-code solutions for cloud platforms. Develop and maintain reusable Ia C modules, templates, and tooling for engineering teams. Lead implementation of automated provisioning, configuration, and deployment pipelines. Collaborate with security, operations, and product teams to ensure compliance and resilience. Mentor engineers on Ia C practices, automation, and cloud architecture patterns. Establish and promote standards, guidelines, and best practices for Ia C and Dev Ops. Troubleshoot complex infrastructure issues and drive root-cause analysis and remediation. Continuously improve reliability, performance, and cost-efficiency of cloud environments. Required Skills Infrastructure as Code (Terraform/Cloud Formation/Pulumi) Cloud platforms (AWS/Azure/GCP) CI/CD pipelines Configuration management (Ansible/Chef/Puppet) Containerization and orchestration (Docker/Kubernetes) Security and compliance automation Scripting (Python/Bash/Power Shell) Monitoring and observability tools Git and version control workflows Solution architecture and design
09/11/2026
Full time
Allstate is seeking a Product Engineer - Infra as Code Lead Consultant to design and lead infrastructure-as-code solutions that power innovative insurance and financial products. In this role, you'll architect secure, scalable cloud environments, build reusable IaC modules, and drive automation across development and operations teams. You'll collaborate with engineers, security, and product leaders to implement compliant, resilient platforms, mentor engineers, and champion best practices. Join a flexible, inclusive, learning-focused culture where your technical leadership directly improves reliability, speed, and customer experience. Responsibilities Design and architect secure, scalable infrastructure-as-code solutions for cloud platforms. Develop and maintain reusable Ia C modules, templates, and tooling for engineering teams. Lead implementation of automated provisioning, configuration, and deployment pipelines. Collaborate with security, operations, and product teams to ensure compliance and resilience. Mentor engineers on Ia C practices, automation, and cloud architecture patterns. Establish and promote standards, guidelines, and best practices for Ia C and Dev Ops. Troubleshoot complex infrastructure issues and drive root-cause analysis and remediation. Continuously improve reliability, performance, and cost-efficiency of cloud environments. Required Skills Infrastructure as Code (Terraform/Cloud Formation/Pulumi) Cloud platforms (AWS/Azure/GCP) CI/CD pipelines Configuration management (Ansible/Chef/Puppet) Containerization and orchestration (Docker/Kubernetes) Security and compliance automation Scripting (Python/Bash/Power Shell) Monitoring and observability tools Git and version control workflows Solution architecture and design
Allstate seeks a Lead Software Engineer to drive delivery of innovative financial and insurance solutions that protect millions of customers. In a collaborative, performance-driven culture, you will design and build scalable, secure systems powering digital policy, claims, and financial services. You'll lead engineers, guide architecture decisions, and champion quality, reliability, and cloud-native practices. Partnering with product, data, and business teams, you'll shape technical roadmaps, improve engineering standards, and support resilient platforms that make communities safer and more resilient. Responsibilities Design and architect scalable, secure financial software solutions for insurance products and services Lead a team of engineers through planning, coding, code reviews, and mentoring Collaborate with product, data, and business stakeholders to translate requirements into technical roadmaps Ensure code quality, reliability, and performance through testing, automation, and best practices Integrate with cloud platforms, APIs, and data systems supporting digital insurance experiences Champion secure coding, regulatory compliance, and data privacy within financial applications Drive continuous improvement in engineering practices, tooling, and delivery pipelines Support production systems, troubleshoot complex issues, and guide incident resolution Required Skills Software architecture and system design Java or C# backend development RESTful APIs and microservices Cloud platforms (AWS, Azure, or GCP) Relational and No SQL databases Automated testing and CI/CD pipelines Containerization (Docker, Kubernetes) Secure coding and familiarity with compliance in finance/insurance Performance tuning and observability Technical leadership and code review
09/11/2026
Full time
Allstate seeks a Lead Software Engineer to drive delivery of innovative financial and insurance solutions that protect millions of customers. In a collaborative, performance-driven culture, you will design and build scalable, secure systems powering digital policy, claims, and financial services. You'll lead engineers, guide architecture decisions, and champion quality, reliability, and cloud-native practices. Partnering with product, data, and business teams, you'll shape technical roadmaps, improve engineering standards, and support resilient platforms that make communities safer and more resilient. Responsibilities Design and architect scalable, secure financial software solutions for insurance products and services Lead a team of engineers through planning, coding, code reviews, and mentoring Collaborate with product, data, and business stakeholders to translate requirements into technical roadmaps Ensure code quality, reliability, and performance through testing, automation, and best practices Integrate with cloud platforms, APIs, and data systems supporting digital insurance experiences Champion secure coding, regulatory compliance, and data privacy within financial applications Drive continuous improvement in engineering practices, tooling, and delivery pipelines Support production systems, troubleshoot complex issues, and guide incident resolution Required Skills Software architecture and system design Java or C# backend development RESTful APIs and microservices Cloud platforms (AWS, Azure, or GCP) Relational and No SQL databases Automated testing and CI/CD pipelines Containerization (Docker, Kubernetes) Secure coding and familiarity with compliance in finance/insurance Performance tuning and observability Technical leadership and code review
Allstate is seeking an Infrastructure Solution Engineer to design, implement, and optimize secure, scalable infrastructure solutions supporting our insurance and financial platforms. In this senior role, you will architect cloud and hybrid environments, integrate networking, storage, and compute, and ensure reliability, performance, and compliance for mission-critical systems. You'll collaborate with security, application, and operations teams, automate infrastructure deployments, and support incident resolution. Allstate offers a collaborative culture, learning opportunities, and a chance to impact millions of customers. Responsibilities Design and architect secure, scalable infrastructure solutions for insurance and financial platforms Implement and manage cloud and hybrid infrastructure (compute, storage, networking) Collaborate with security, application, and operations teams on solution design and delivery Automate infrastructure provisioning, configuration, and deployments Monitor and optimize infrastructure performance, reliability, and capacity Ensure compliance with security, regulatory, and operational standards Participate in incident response, root-cause analysis, and remediation Document architectures, runbooks, and standards for infrastructure solutions Required Skills Infrastructure architecture and design Cloud platforms (AWS, Azure, or GCP) Networking (VPCs, firewalls, load balancers) Virtualization and containers (VMware, Docker, Kubernetes) Infrastructure as Code (Terraform, Cloud Formation, or similar) Linux/Windows server administration CI/CD and automation scripting (Python, Power Shell, or Bash) Monitoring and observability tools (Cloud Watch, Prometheus, Splunk, etc.) Security, compliance, and governance in regulated industries High availability and disaster recovery design
09/11/2026
Full time
Allstate is seeking an Infrastructure Solution Engineer to design, implement, and optimize secure, scalable infrastructure solutions supporting our insurance and financial platforms. In this senior role, you will architect cloud and hybrid environments, integrate networking, storage, and compute, and ensure reliability, performance, and compliance for mission-critical systems. You'll collaborate with security, application, and operations teams, automate infrastructure deployments, and support incident resolution. Allstate offers a collaborative culture, learning opportunities, and a chance to impact millions of customers. Responsibilities Design and architect secure, scalable infrastructure solutions for insurance and financial platforms Implement and manage cloud and hybrid infrastructure (compute, storage, networking) Collaborate with security, application, and operations teams on solution design and delivery Automate infrastructure provisioning, configuration, and deployments Monitor and optimize infrastructure performance, reliability, and capacity Ensure compliance with security, regulatory, and operational standards Participate in incident response, root-cause analysis, and remediation Document architectures, runbooks, and standards for infrastructure solutions Required Skills Infrastructure architecture and design Cloud platforms (AWS, Azure, or GCP) Networking (VPCs, firewalls, load balancers) Virtualization and containers (VMware, Docker, Kubernetes) Infrastructure as Code (Terraform, Cloud Formation, or similar) Linux/Windows server administration CI/CD and automation scripting (Python, Power Shell, or Bash) Monitoring and observability tools (Cloud Watch, Prometheus, Splunk, etc.) Security, compliance, and governance in regulated industries High availability and disaster recovery design
Arrow Electronics seeks an Applications Architect to design and optimize scalable, secure enterprise applications supporting our global wholesale technology operations. In this role, you will define application architectures, integrate cloud and on-prem systems, and guide end-to-end solution design across complex environments. Partnering with engineering, operations, and business stakeholders, you'll translate requirements into robust, high-performing architectures, champion best practices, and mentor teams. Join a performance-driven, collaborative culture shaping the future of electronic components and IT solutions worldwide. Responsibilities Design scalable, secure application architectures for global wholesale operations Lead end-to-end solution design across cloud and on-premise environments Define integration patterns and APIs between enterprise systems Ensure architectures meet performance, security, and compliance requirements Collaborate with engineering, operations, and business stakeholders Evaluate and recommend technologies, tools, and platforms Create and maintain architecture documentation and standards Mentor development teams on architectural best practices Required Skills Enterprise application architecture Cloud platforms (AWS/Azure/GCP) Microservices design API design and integration Database design (SQL/No SQL) Containerization (Docker/Kubernetes) System integration (ESB/i Paa S) Security and compliance design Performance tuning and scalability Solution design documentation
09/11/2026
Full time
Arrow Electronics seeks an Applications Architect to design and optimize scalable, secure enterprise applications supporting our global wholesale technology operations. In this role, you will define application architectures, integrate cloud and on-prem systems, and guide end-to-end solution design across complex environments. Partnering with engineering, operations, and business stakeholders, you'll translate requirements into robust, high-performing architectures, champion best practices, and mentor teams. Join a performance-driven, collaborative culture shaping the future of electronic components and IT solutions worldwide. Responsibilities Design scalable, secure application architectures for global wholesale operations Lead end-to-end solution design across cloud and on-premise environments Define integration patterns and APIs between enterprise systems Ensure architectures meet performance, security, and compliance requirements Collaborate with engineering, operations, and business stakeholders Evaluate and recommend technologies, tools, and platforms Create and maintain architecture documentation and standards Mentor development teams on architectural best practices Required Skills Enterprise application architecture Cloud platforms (AWS/Azure/GCP) Microservices design API design and integration Database design (SQL/No SQL) Containerization (Docker/Kubernetes) System integration (ESB/i Paa S) Security and compliance design Performance tuning and scalability Solution design documentation
Job Description Job Description C2 Labs is hiring a Senior FedRAMP Consultant (GRC Analyst III equivalent) to act as a lead technical writer for FedRAMP authorization packages and ongoing ConMon operations. If you can translate real-world cloud security implementations into crisp FedRAMP documentation-and you care about making ConMon sustainable-this is a strong fit. What you'll do • Lead drafting of FedRAMP artifacts (20X KSI summaries and/or legacy SSP/policies/plans) and drive iterations to completion. • Maintain control/KSI-to-evidence traceability in RegScale and keep the evidence library audit-ready. • Partner with cloud architecture/security engineering resources to ensure technical accuracy. • Support assessor/sponsor readiness: walkthroughs, responses, and updates. Role summary Lead author and coordinator for FedRAMP documentation and evidence traceability. This role functions as a technical writer with security and cloud fluency-able to capture architecture and control/KSI implementations from engineering teams and translate them into FedRAMP artifacts. The Senior Consultant owns the quality of first drafts and mentors junior writers. Key responsibilities • Lead customer interviews/workshops to capture system boundary, data flows, shared responsibility model, and control/KSI implementations. • Draft and iterate FedRAMP artifacts (e.g., 20X KSI implementation summaries and/or legacy SSP sections, policies, and plans). • Build and maintain traceability between controls/KSIs, evidence, validation methods, and ConMon cadence in RegScale. • Coordinate evidence collection and organize artifacts into a clean evidence library aligned to the package structure. • Partner with the Cloud Architect and Security Engineer to ensure technical accuracy of narratives and diagrams. • Support assessment readiness: conduct package walkthroughs, respond to questions, and update artifacts based on feedback. • Mentor Junior Consultants on writing standards, template fidelity, and evidence hygiene. Key deliverables / outputs • FedRAMP first drafts of major package artifacts (KSI summaries and/or SSP sections). • Policy and plan artifacts aligned to FedRAMP expectations (e.g., IRP, CP, CMP, ISCM, Rules of Behavior as required). • Control/KSI-to-evidence traceability in RegScale with validation cadence documented. • Assessment-ready evidence library with consistent naming/versioning and completeness checks. Required qualifications • 5+ years experience in GRC/compliance, security documentation, or audit support roles. • Security certification (CISSP, CISM, CCSP) • Demonstrated technical writing capability: can produce clear, consistent narratives for complex systems and controls. • Working knowledge of NIST 800-53 controls and evidence expectations; familiarity with FedRAMP package structure and templates. • Comfort collaborating with engineers and architects to accurately describe technical implementations. • Strong attention to detail (templates, cross-references, tables, and evidence mapping). Preferred / nice to have • Bachelors degree in IT, Cybersecurity, or related field • Prior experience drafting FedRAMP SSPs and/or supporting artifacts (Low/Moderate/High). • Experience with FedRAMP 20X concepts (KSIs, validation cycles, automation-first evidence). • Experience working in RegScale or similar GRC tools. • Audit-related experience. Tools & environment • RegScale (controls/KSIs, evidence, workflows, POA&M management) • Microsoft Word/Excel (FedRAMP templates), Visio/Lucidchart (diagrams) as available • Ticketing systems for remediation tracking (Jira/Azure DevOps/ServiceNow as customer uses) Engagement details • 1099 independent contractor (initial engagement); project-based with potential extension into ConMon operations. • Remote-first; occasional workshops may be requested (typically minimal travel). • No clearance required; must be able to pass a standard background check and sign NDA/SOW. • Hours scale with customer phase (heavy during package drafting; lighter during steady-state ConMon). EEO Statement We are an equal opportunity employer. All qualified applicants will be considered without discrimination based on race, color, religion, sex, national origin, age, disability, or protected veteran status. Employment offers will be contingent on passing a pre-employment drug screen. Practical AI Application Applies AI tools to streamline workflows, enhance decision-making, and improve outcomes Understands the strengths and limitations of AI systems and exercises sound judgment in their use Continuously explores new AI capabilities and integrates them into day-to-day work where appropriate Uses AI in alignment with company and customer-specific policies, data privacy standards, and ethical guidelines Exercises discretion when using AI with sensitive or proprietary information Demonstrates awareness of bias, accuracy, and risk considerations when leveraging AI tools
09/11/2026
Full time
Job Description Job Description C2 Labs is hiring a Senior FedRAMP Consultant (GRC Analyst III equivalent) to act as a lead technical writer for FedRAMP authorization packages and ongoing ConMon operations. If you can translate real-world cloud security implementations into crisp FedRAMP documentation-and you care about making ConMon sustainable-this is a strong fit. What you'll do • Lead drafting of FedRAMP artifacts (20X KSI summaries and/or legacy SSP/policies/plans) and drive iterations to completion. • Maintain control/KSI-to-evidence traceability in RegScale and keep the evidence library audit-ready. • Partner with cloud architecture/security engineering resources to ensure technical accuracy. • Support assessor/sponsor readiness: walkthroughs, responses, and updates. Role summary Lead author and coordinator for FedRAMP documentation and evidence traceability. This role functions as a technical writer with security and cloud fluency-able to capture architecture and control/KSI implementations from engineering teams and translate them into FedRAMP artifacts. The Senior Consultant owns the quality of first drafts and mentors junior writers. Key responsibilities • Lead customer interviews/workshops to capture system boundary, data flows, shared responsibility model, and control/KSI implementations. • Draft and iterate FedRAMP artifacts (e.g., 20X KSI implementation summaries and/or legacy SSP sections, policies, and plans). • Build and maintain traceability between controls/KSIs, evidence, validation methods, and ConMon cadence in RegScale. • Coordinate evidence collection and organize artifacts into a clean evidence library aligned to the package structure. • Partner with the Cloud Architect and Security Engineer to ensure technical accuracy of narratives and diagrams. • Support assessment readiness: conduct package walkthroughs, respond to questions, and update artifacts based on feedback. • Mentor Junior Consultants on writing standards, template fidelity, and evidence hygiene. Key deliverables / outputs • FedRAMP first drafts of major package artifacts (KSI summaries and/or SSP sections). • Policy and plan artifacts aligned to FedRAMP expectations (e.g., IRP, CP, CMP, ISCM, Rules of Behavior as required). • Control/KSI-to-evidence traceability in RegScale with validation cadence documented. • Assessment-ready evidence library with consistent naming/versioning and completeness checks. Required qualifications • 5+ years experience in GRC/compliance, security documentation, or audit support roles. • Security certification (CISSP, CISM, CCSP) • Demonstrated technical writing capability: can produce clear, consistent narratives for complex systems and controls. • Working knowledge of NIST 800-53 controls and evidence expectations; familiarity with FedRAMP package structure and templates. • Comfort collaborating with engineers and architects to accurately describe technical implementations. • Strong attention to detail (templates, cross-references, tables, and evidence mapping). Preferred / nice to have • Bachelors degree in IT, Cybersecurity, or related field • Prior experience drafting FedRAMP SSPs and/or supporting artifacts (Low/Moderate/High). • Experience with FedRAMP 20X concepts (KSIs, validation cycles, automation-first evidence). • Experience working in RegScale or similar GRC tools. • Audit-related experience. Tools & environment • RegScale (controls/KSIs, evidence, workflows, POA&M management) • Microsoft Word/Excel (FedRAMP templates), Visio/Lucidchart (diagrams) as available • Ticketing systems for remediation tracking (Jira/Azure DevOps/ServiceNow as customer uses) Engagement details • 1099 independent contractor (initial engagement); project-based with potential extension into ConMon operations. • Remote-first; occasional workshops may be requested (typically minimal travel). • No clearance required; must be able to pass a standard background check and sign NDA/SOW. • Hours scale with customer phase (heavy during package drafting; lighter during steady-state ConMon). EEO Statement We are an equal opportunity employer. All qualified applicants will be considered without discrimination based on race, color, religion, sex, national origin, age, disability, or protected veteran status. Employment offers will be contingent on passing a pre-employment drug screen. Practical AI Application Applies AI tools to streamline workflows, enhance decision-making, and improve outcomes Understands the strengths and limitations of AI systems and exercises sound judgment in their use Continuously explores new AI capabilities and integrates them into day-to-day work where appropriate Uses AI in alignment with company and customer-specific policies, data privacy standards, and ethical guidelines Exercises discretion when using AI with sensitive or proprietary information Demonstrates awareness of bias, accuracy, and risk considerations when leveraging AI tools
