Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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).
07/30/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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).
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
07/30/2026
Full time
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
07/30/2026
Full time
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
Disney Entertainment and ESPN Product & Technology
Glendale, California
Department/Group Overview: Disney Entertainment & ESPN & Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working for Disney Entertainment & ESPN & Technology Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Content Platform & Operations is ultimately responsible for successfully delivering Disney's entertainment and sports content to millions of people every day. This involves developing, operating, and managing a global content supply chain - the myriad of steps involved from taking a finalized TV show/movie, or live piece of content, from inside Disney to audiences around the globe, in their preferred language and format. This team also manages technology operations in Latin America, Europe and Asia Pacific. Job Summary: We are seeking a highly skilled Senior Software Engineer to join our Content Platform Data Engineering team, focusing on building and enhancing platform capabilities with a strong emphasis on supporting our existing Datawarehouse. As a Senior Software Engineer, you will build scalable, reliable, and high-performance data pipelines and data models that enable analytics, downstream applications, operational workflows, and visualizations. You will work closely with product managers, software engineers, data consumers, and cross-functional partners to ensure data is accurate, accessible, and aligned with business needs across Disney's direct-to-consumer lines of business. You will work closely with an existing team working on expanding Disney's internal capability set. Leveraging software engineering principles and cloud infrastructure, you will build robust, extensible services that drive autonomous workflows at scale. Responsibilities and Duties of the Role: Write and Maintain Software Solutions: Design, write, test, and deploy high-quality code to develop reliable, maintainable data solutions. Collaborate with Cross-Functional Teams: Work closely with platform engineers, product teams, and stakeholders to ensure technical solutions effectively support business goals and content strategies. Production Support: Monitor and optimize production systems, ensuring platform stability, performance, and uptime. Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning. Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of relevant industry experience in data engineering or architecture. Proven track record of building and supporting production data pipelines and data platforms. Extensive experience with event streaming systems (e.g., Kafka) and data store technologies like Snowflake and Databricks. Proficiency with ETL/ELT pipelines and orchestration tools such as AWS Glue, AWS Lambda, and Apache Airflow. Deep understanding of data modeling concepts and robust SQL development. Expertise in designing scalable, cost-effective cloud architecture and infrastructure. Hands-on experience building and maintaining automated CI/CD pipelines. Full-lifecycle application development experience, including unit testing, code reviews, and documentation. Familiarity with Agile/Scrum methodologies in a collaborative team environment. Excellent oral, written, and cross-functional communication skills. Ability to work effectively with geographically distributed teams. Preferred Qualifications Experience with cloud-based data platforms (e.g., data lakes, data warehouses, or managed data services) Knowledge of streaming and batch data processing frameworks Strong understanding of data quality, data governance, and observability practices Experience supporting analytics, reporting, or downstream application use cases at scale Exposure to integrating AI driven solutions into production systems Previous work experience in media or entertainment technology, particularly in content distribution and media supply chain. Required Education Bachelor's degree in computer science or comparable field of study, and/or equivalent work experience. The hiring range for this position in Glendale, CA & Bristol, CT is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
07/30/2026
Full time
Department/Group Overview: Disney Entertainment & ESPN & Technology On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. A few reasons why we think you'd love working for Disney Entertainment & ESPN & Technology Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Content Platform & Operations is ultimately responsible for successfully delivering Disney's entertainment and sports content to millions of people every day. This involves developing, operating, and managing a global content supply chain - the myriad of steps involved from taking a finalized TV show/movie, or live piece of content, from inside Disney to audiences around the globe, in their preferred language and format. This team also manages technology operations in Latin America, Europe and Asia Pacific. Job Summary: We are seeking a highly skilled Senior Software Engineer to join our Content Platform Data Engineering team, focusing on building and enhancing platform capabilities with a strong emphasis on supporting our existing Datawarehouse. As a Senior Software Engineer, you will build scalable, reliable, and high-performance data pipelines and data models that enable analytics, downstream applications, operational workflows, and visualizations. You will work closely with product managers, software engineers, data consumers, and cross-functional partners to ensure data is accurate, accessible, and aligned with business needs across Disney's direct-to-consumer lines of business. You will work closely with an existing team working on expanding Disney's internal capability set. Leveraging software engineering principles and cloud infrastructure, you will build robust, extensible services that drive autonomous workflows at scale. Responsibilities and Duties of the Role: Write and Maintain Software Solutions: Design, write, test, and deploy high-quality code to develop reliable, maintainable data solutions. Collaborate with Cross-Functional Teams: Work closely with platform engineers, product teams, and stakeholders to ensure technical solutions effectively support business goals and content strategies. Production Support: Monitor and optimize production systems, ensuring platform stability, performance, and uptime. Mentorship: Provide technical guidance and mentorship to junior engineers, fostering a culture of collaboration and continuous learning. Required Education, Experience/Skills/Training: Basic Qualifications 5+ years of relevant industry experience in data engineering or architecture. Proven track record of building and supporting production data pipelines and data platforms. Extensive experience with event streaming systems (e.g., Kafka) and data store technologies like Snowflake and Databricks. Proficiency with ETL/ELT pipelines and orchestration tools such as AWS Glue, AWS Lambda, and Apache Airflow. Deep understanding of data modeling concepts and robust SQL development. Expertise in designing scalable, cost-effective cloud architecture and infrastructure. Hands-on experience building and maintaining automated CI/CD pipelines. Full-lifecycle application development experience, including unit testing, code reviews, and documentation. Familiarity with Agile/Scrum methodologies in a collaborative team environment. Excellent oral, written, and cross-functional communication skills. Ability to work effectively with geographically distributed teams. Preferred Qualifications Experience with cloud-based data platforms (e.g., data lakes, data warehouses, or managed data services) Knowledge of streaming and batch data processing frameworks Strong understanding of data quality, data governance, and observability practices Experience supporting analytics, reporting, or downstream application use cases at scale Exposure to integrating AI driven solutions into production systems Previous work experience in media or entertainment technology, particularly in content distribution and media supply chain. Required Education Bachelor's degree in computer science or comparable field of study, and/or equivalent work experience. The hiring range for this position in Glendale, CA & Bristol, CT is $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Disney Entertainment and ESPN Product & Technology
Bristol, Connecticut
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: 1. Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. 2. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. 3. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Content Platforms & Operations is responsible for the development and ongoing advancement of the technical and operational functions driving the worldwide distribution and monetization of Disney's linear networks and theatrical content. This includes Disney's media supply chain and storage, network and theatrical distribution operations, media localization, network transmission and origination, and more. The global team also plays a critical role as the primary collaboration point for Product & Technology with Disney's EMEA, APAC, and LATAM regional business teams. Job Summary: The Senior Engineer will contribute to both backend and frontend development, designing and implementing high-performance applications and seamless user interfaces that deliver Disney's content to audiences worldwide. In this role, you will build scalable solutions and collaborate closely with management, business partners, engineering teams, product, and design to create innovative and engaging viewing experiences. Your work will support streaming, digital products, advertising, and content distribution. You will also participate in code reviews, promote best practices, and uphold high standards in architecture, performance, and code quality, helping ensure maintainable and accessible solutions across the team. This position requires strong expertise in modern Java Spring Boot and Vue.js, along with a passion for building high-quality, scalable digital experiences. Responsibilities: Design, develop, and maintain scalable, high-performance applications across both backend and frontend systems supporting Disney's digital platforms. Build robust Java Spring Boot services and APIs alongside modern Vue-based user interfaces to deliver seamless, user-centric experiences. Partner closely with product managers and cross-functional engineering teams to define requirements and deliver end-to-end solutions. Ensure alignment with architectural standards, security, and best practices across the full stack. Drive code quality through reviews, mentorship, and consistent development practices. Optimize system performance and reliability by implementing efficient data processing, caching, asynchronous workflows, and modern state management techniques. Troubleshoot and resolve production issues, continuously improving system scalability, latency, and stability. Collaborate with DevOps and QA teams to support CI/CD pipelines, automated testing, and monitoring. Contribute to evolving engineering practices by adopting new technologies, tools, and frameworks across both backend and frontend ecosystems. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). 5+ years of full stack development experience, with a strong emphasis on Java, SpringBoot and VUE JS frameworks. Experience supporting development efforts and contributing to best practices through peer mentorship and code reviews. Proven experience building scalable back-end and front-end solutions for large-scale, high-traffic applications. Hands-on experience working in agile development environments as part of cross-functional teams. Strong experience integrating UI components with RESTful APIs. Proficient in Java, Spring Boot, JavaScript, and VueJS framwork. Solid understanding of microservices architecture, dependency injection, and application lifecycle management within the Spring ecosystem Solid understanding of state management patterns, component lifecycle, and Vuetify library. Knowledge of backend performance optimization techniques such as connection pooling, distributed caching, asynchronous processing, and efficient database access patterns Knowledge of front-end performance optimization techniques such as lazy loading, code splitting, and caching. Familiarity with design systems, component libraries, and UI frameworks. Familiarity with relational and NoSQL databases, schema design, and query optimization Experience with containerization and deployment tools such as Docker and Kubernetes, along with cloud platforms (AWS) Experience with CI/CD pipelines, containerization tools (e.g., Docker), and cloud deployment (AWS). Strong collaboration skills, with the ability to work closely with developers, designers, product and QA teams. Effective communicator with the ability to explain technical concepts to non-technical stakeholders. Ability to translate business and design requirements into performant, maintainable solutions. Strong problem-solving skills with a proactive, detail-oriented approach. Preferred Qualifications: Experience with distributed systems, messaging technologies, or event-driven architectures (Kafka, SNS/SQS, ActiveMQ, or similar) Experience leveraging AI tools to accelerate software development, debugging, and code quality improvement Familiarity with AWS CloudFront, S3 bucket. Knowledge of streaming workflows, video content delivery, or media distribution pipelines Previous experience working in media, or entertainment environments The hiring range for this position in New York, New York is $148,700 - $199,400 per year and in Bristol, CT $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
07/30/2026
Full time
Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: 1. Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. 2. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. 3. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Content Platforms & Operations is responsible for the development and ongoing advancement of the technical and operational functions driving the worldwide distribution and monetization of Disney's linear networks and theatrical content. This includes Disney's media supply chain and storage, network and theatrical distribution operations, media localization, network transmission and origination, and more. The global team also plays a critical role as the primary collaboration point for Product & Technology with Disney's EMEA, APAC, and LATAM regional business teams. Job Summary: The Senior Engineer will contribute to both backend and frontend development, designing and implementing high-performance applications and seamless user interfaces that deliver Disney's content to audiences worldwide. In this role, you will build scalable solutions and collaborate closely with management, business partners, engineering teams, product, and design to create innovative and engaging viewing experiences. Your work will support streaming, digital products, advertising, and content distribution. You will also participate in code reviews, promote best practices, and uphold high standards in architecture, performance, and code quality, helping ensure maintainable and accessible solutions across the team. This position requires strong expertise in modern Java Spring Boot and Vue.js, along with a passion for building high-quality, scalable digital experiences. Responsibilities: Design, develop, and maintain scalable, high-performance applications across both backend and frontend systems supporting Disney's digital platforms. Build robust Java Spring Boot services and APIs alongside modern Vue-based user interfaces to deliver seamless, user-centric experiences. Partner closely with product managers and cross-functional engineering teams to define requirements and deliver end-to-end solutions. Ensure alignment with architectural standards, security, and best practices across the full stack. Drive code quality through reviews, mentorship, and consistent development practices. Optimize system performance and reliability by implementing efficient data processing, caching, asynchronous workflows, and modern state management techniques. Troubleshoot and resolve production issues, continuously improving system scalability, latency, and stability. Collaborate with DevOps and QA teams to support CI/CD pipelines, automated testing, and monitoring. Contribute to evolving engineering practices by adopting new technologies, tools, and frameworks across both backend and frontend ecosystems. Minimum Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). 5+ years of full stack development experience, with a strong emphasis on Java, SpringBoot and VUE JS frameworks. Experience supporting development efforts and contributing to best practices through peer mentorship and code reviews. Proven experience building scalable back-end and front-end solutions for large-scale, high-traffic applications. Hands-on experience working in agile development environments as part of cross-functional teams. Strong experience integrating UI components with RESTful APIs. Proficient in Java, Spring Boot, JavaScript, and VueJS framwork. Solid understanding of microservices architecture, dependency injection, and application lifecycle management within the Spring ecosystem Solid understanding of state management patterns, component lifecycle, and Vuetify library. Knowledge of backend performance optimization techniques such as connection pooling, distributed caching, asynchronous processing, and efficient database access patterns Knowledge of front-end performance optimization techniques such as lazy loading, code splitting, and caching. Familiarity with design systems, component libraries, and UI frameworks. Familiarity with relational and NoSQL databases, schema design, and query optimization Experience with containerization and deployment tools such as Docker and Kubernetes, along with cloud platforms (AWS) Experience with CI/CD pipelines, containerization tools (e.g., Docker), and cloud deployment (AWS). Strong collaboration skills, with the ability to work closely with developers, designers, product and QA teams. Effective communicator with the ability to explain technical concepts to non-technical stakeholders. Ability to translate business and design requirements into performant, maintainable solutions. Strong problem-solving skills with a proactive, detail-oriented approach. Preferred Qualifications: Experience with distributed systems, messaging technologies, or event-driven architectures (Kafka, SNS/SQS, ActiveMQ, or similar) Experience leveraging AI tools to accelerate software development, debugging, and code quality improvement Familiarity with AWS CloudFront, S3 bucket. Knowledge of streaming workflows, video content delivery, or media distribution pipelines Previous experience working in media, or entertainment environments The hiring range for this position in New York, New York is $148,700 - $199,400 per year and in Bristol, CT $141,900 - $190,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Distinguished 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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).
07/30/2026
Full time
Distinguished 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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).
Distinguished 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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).
07/30/2026
Full time
Distinguished 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 8 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 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level 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 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished 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).
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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).
07/30/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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).
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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).
07/30/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. 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 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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).
Job description Lead Global Infrastructure Operations for Mission-Critical Cloud Environments Flatirons Solutions is seeking a Hosting Operations Manager to lead the strategy, delivery, and continuous improvement of our hosting and cloud operations function. This role is responsible for ensuring the reliability, security, and performance of customer-facing and internal platforms while leading a global team of infrastructure and operations professionals. The successful candidate will play a critical role in advancing our cloud operations capabilities, driving service excellence, and partnering across Engineering, Product Management, Security, Customer Success, and customers to deliver highly available and scalable solutions. Must be located near Boulder, CO. This is a hybrid position. What We're Looking For The ideal candidate will bring: 3+ years of people leadership experience, including managing global or geographically distributed technical teams. Deep experience operating mission-critical production systems with demanding availability, reliability, and performance requirements, preferably in AWS cloud environments. Demonstrated success leading root cause analysis (RCA) and corrective action programs that improve service reliability and operational effectiveness. Key Responsibilities Leadership & Team Management Lead and manage a global Hosting Operations team, including infrastructure, cloud, systems, and operations engineers. Establish team goals, performance objectives, and career development plans. Conduct performance reviews, coaching, mentoring, and succession planning. Recruit, develop, and retain high-performing technical staff. Foster a culture of operational excellence, accountability, continuous improvement, and customer focus. Infrastructure & Operations Management Own the availability, reliability, performance, and operational health of hosted environments. Manage infrastructure supporting customer and corporate systems across cloud and on-premises platforms. Ensure operational readiness through monitoring, alerting, incident response, and problem management processes. Lead capacity planning, infrastructure forecasting, and resource optimization activities. Oversee infrastructure lifecycle management, including hardware refreshes, operating system upgrades, and platform modernization initiatives. Ensure backup, recovery, business continuity, and disaster recovery capabilities are maintained and regularly tested. Drive automation initiatives that improve operational efficiency and reduce manual effort. Establish and maintain operational standards, procedures, runbooks, and documentation. Service Delivery & Customer Engagement Serve as an escalation point for critical customer issues and service disruptions. Participate in customer discussions regarding infrastructure, hosting operations, service performance, and operational improvements. Ensure service level agreements (SLAs) and operational commitments are consistently achieved. Lead major incident management activities and post-incident reviews. Communicate operational status, risks, and improvement initiatives to customers and executive leadership. Cloud & Data Center Operations Oversee operations across AWS and other cloud platforms as required. Ensure efficient utilization of cloud and data center resources. Monitor cloud spending and identify cost optimization opportunities. Collaborate with Engineering teams on platform architecture, scalability, and operational requirements. Security, Compliance & Governance Ensure hosting environments comply with company security policies, customer requirements, and regulatory obligations. Partner with Information Security teams to address vulnerabilities, remediation activities, and security monitoring. Support audits, compliance assessments, and customer security reviews. Establish and maintain Hosting Operations policies, procedures, standards, and controls within the Business Management System. Ensure adherence to Quality Management System (QMS) and Information Security Management System (ISMS) requirements. Metrics & Continuous Improvement Define and maintain Hosting Operations KPIs and service health metrics. Implement metrics-driven processes to measure service quality, availability, performance, and operational efficiency. Lead root cause analysis investigations and corrective action programs. Identify opportunities for operational improvements, automation, and cost reduction. Provide regular reporting on operational performance, risks, and improvement initiatives. Skills, Knowledge & Expertise Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience. 5+ years of experience managing infrastructure, cloud, hosting, or operations teams. 8+ years of experience supporting enterprise infrastructure environments. At least 3 years of direct people leadership experience. Experience managing global or geographically distributed technical teams. Experience supporting both cloud and on-premises infrastructure environments. Experience operating mission-critical production systems with high availability requirements. Experience leading root cause analysis and corrective action initiatives. Experience with IT service management practices, including incident, problem, change, and capacity management. Experience working directly with enterprise customers. Preferred Qualifications AWS certifications or equivalent cloud certifications. ITIL certification. Experience supporting regulated environments and customer audits. SAFe Agile experience. Aerospace industry experience. Technical Expertise AWS cloud services and cloud operations (preferred). Windows and Linux server administration. Virtualization technologies. Enterprise storage, backup, and disaster recovery technologies. Networking and security fundamentals. Infrastructure monitoring and observability platforms. Infrastructure automation and configuration management tools. IT service management platforms. Salary Range: $165,000 to $205,000
07/30/2026
Full time
Job description Lead Global Infrastructure Operations for Mission-Critical Cloud Environments Flatirons Solutions is seeking a Hosting Operations Manager to lead the strategy, delivery, and continuous improvement of our hosting and cloud operations function. This role is responsible for ensuring the reliability, security, and performance of customer-facing and internal platforms while leading a global team of infrastructure and operations professionals. The successful candidate will play a critical role in advancing our cloud operations capabilities, driving service excellence, and partnering across Engineering, Product Management, Security, Customer Success, and customers to deliver highly available and scalable solutions. Must be located near Boulder, CO. This is a hybrid position. What We're Looking For The ideal candidate will bring: 3+ years of people leadership experience, including managing global or geographically distributed technical teams. Deep experience operating mission-critical production systems with demanding availability, reliability, and performance requirements, preferably in AWS cloud environments. Demonstrated success leading root cause analysis (RCA) and corrective action programs that improve service reliability and operational effectiveness. Key Responsibilities Leadership & Team Management Lead and manage a global Hosting Operations team, including infrastructure, cloud, systems, and operations engineers. Establish team goals, performance objectives, and career development plans. Conduct performance reviews, coaching, mentoring, and succession planning. Recruit, develop, and retain high-performing technical staff. Foster a culture of operational excellence, accountability, continuous improvement, and customer focus. Infrastructure & Operations Management Own the availability, reliability, performance, and operational health of hosted environments. Manage infrastructure supporting customer and corporate systems across cloud and on-premises platforms. Ensure operational readiness through monitoring, alerting, incident response, and problem management processes. Lead capacity planning, infrastructure forecasting, and resource optimization activities. Oversee infrastructure lifecycle management, including hardware refreshes, operating system upgrades, and platform modernization initiatives. Ensure backup, recovery, business continuity, and disaster recovery capabilities are maintained and regularly tested. Drive automation initiatives that improve operational efficiency and reduce manual effort. Establish and maintain operational standards, procedures, runbooks, and documentation. Service Delivery & Customer Engagement Serve as an escalation point for critical customer issues and service disruptions. Participate in customer discussions regarding infrastructure, hosting operations, service performance, and operational improvements. Ensure service level agreements (SLAs) and operational commitments are consistently achieved. Lead major incident management activities and post-incident reviews. Communicate operational status, risks, and improvement initiatives to customers and executive leadership. Cloud & Data Center Operations Oversee operations across AWS and other cloud platforms as required. Ensure efficient utilization of cloud and data center resources. Monitor cloud spending and identify cost optimization opportunities. Collaborate with Engineering teams on platform architecture, scalability, and operational requirements. Security, Compliance & Governance Ensure hosting environments comply with company security policies, customer requirements, and regulatory obligations. Partner with Information Security teams to address vulnerabilities, remediation activities, and security monitoring. Support audits, compliance assessments, and customer security reviews. Establish and maintain Hosting Operations policies, procedures, standards, and controls within the Business Management System. Ensure adherence to Quality Management System (QMS) and Information Security Management System (ISMS) requirements. Metrics & Continuous Improvement Define and maintain Hosting Operations KPIs and service health metrics. Implement metrics-driven processes to measure service quality, availability, performance, and operational efficiency. Lead root cause analysis investigations and corrective action programs. Identify opportunities for operational improvements, automation, and cost reduction. Provide regular reporting on operational performance, risks, and improvement initiatives. Skills, Knowledge & Expertise Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience. 5+ years of experience managing infrastructure, cloud, hosting, or operations teams. 8+ years of experience supporting enterprise infrastructure environments. At least 3 years of direct people leadership experience. Experience managing global or geographically distributed technical teams. Experience supporting both cloud and on-premises infrastructure environments. Experience operating mission-critical production systems with high availability requirements. Experience leading root cause analysis and corrective action initiatives. Experience with IT service management practices, including incident, problem, change, and capacity management. Experience working directly with enterprise customers. Preferred Qualifications AWS certifications or equivalent cloud certifications. ITIL certification. Experience supporting regulated environments and customer audits. SAFe Agile experience. Aerospace industry experience. Technical Expertise AWS cloud services and cloud operations (preferred). Windows and Linux server administration. Virtualization technologies. Enterprise storage, backup, and disaster recovery technologies. Networking and security fundamentals. Infrastructure monitoring and observability platforms. Infrastructure automation and configuration management tools. IT service management platforms. Salary Range: $165,000 to $205,000
DCS is an employee-owned organization with a reputation for agile and efficient development of technology solutions for U.S. Defense, Aerospace, Human Factors, and Security markets. We continue to provide innovative solutions with multidisciplinary teams formed with exceptional employees. The DCS Air and Space Technology Sector is seeking a qualified candidate to apply advanced knowledge in the areas of software engineering, systems engineering, DevSecOps, and information technology for the technical design, development, modernization, integration, and sustainment of complex software systems supporting U.S. Department of Defense customers. As a member of our team, the successful candidate will support software development and modernization efforts in a secure DoD environment, including work associated with PlatformOne-aligned development practices, cloud-enabled software delivery, CI/CD pipelines, automated testing, secure coding, and mission application sustainment. This position requires an experienced technical contributor who can work under broadly defined direction, apply advanced engineering principles, and provide high-level technical guidance to engineers, managers, and customers. The candidate must be able to work independently and as part of a broader technical team. Successful candidates will have strong problem-solving skills, sound technical judgment, effective oral and written communication skills, and the ability to support complex software efforts in fast-paced mission environments. Essential Job Functions: Design, develop, test, integrate, and sustain software capabilities in support of DoD mission systems. Support modernization of existing applications, services, and user interfaces using current software engineering practices. Develop and maintain software components using object-oriented and web-based technologies. Support secure software development practices, including code quality analysis, vulnerability remediation, automated testing, and configuration management. Develop, maintain, and improve CI/CD pipelines and related software delivery processes. Support containerized or cloud-enabled software development environments, as required. Troubleshoot, analyze, and resolve complex software, integration, performance, and deployment issues. Work with engineers, managers, cybersecurity personnel, and customers to define requirements, assess technical approaches, and deliver mission-focused solutions. Provide technical guidance to software engineers and support disciplined development practices across the team. Prepare and maintain technical documentation, user documentation, installation guidance, and status materials. Support software deployments, testing activities, and operational sustainment in classified or controlled environments. Use initiative and independent judgment to develop solutions to complex technical problems. Perform additional duties as required. Required Skills: Due to the sensitivity of customer-related requirements, U.S. Citizenship is required. Active Top Secret security clearance, with the ability to maintain clearance eligibility. Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Systems Engineering, or a related technical discipline, and at least 12 years of related experience; or a Master's degree and at least 10 years of related experience; or a PhD and at least 7 years of related experience. Experience designing, developing, testing, and sustaining complex software systems, including PlatformOne. Experience supporting PlatformOne, Cloud One, Iron Bank, Big Bang, Kubernetes, OpenShift, Docker, Helm, or similar DoD cloud/container platforms. Experience with object-oriented software development and modern software engineering practices. Experience developing web-based applications, services, APIs, or enterprise software capabilities. Experience using source control, issue tracking, automated build, and software configuration management tools. Experience supporting secure software development, vulnerability remediation, or software assurance activities. Ability to work independently under broadly defined direction. Ability to provide technical guidance to engineers, managers, and customers. Excellent written and verbal communication skills. Ability to work effectively in a team environment. Desired Skills: Experience developing or maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar technologies. Experience with DevSecOps principles, automated testing, static code analysis, vulnerability scanning, and secure deployment practices. Experience with Java, JavaScript, TypeScript, React, NodeJS, Python, C++, or similar development languages and frameworks. Experience with relational databases, SQL, data management, data integration, or enterprise service architectures. Experience with DoD cybersecurity requirements, RMF, ATO support, STIGs, or classified network deployment processes. Experience modernizing legacy applications or migrating older systems to current frameworks and architectures. Experience supporting Air Force, DoD, Intelligence Community, or mission-planning software systems. Experience working in Agile, Scrum, Kanban, or similar software development environments. Experience creating technical documentation, user guides, briefings, and status reports.
07/30/2026
Full time
DCS is an employee-owned organization with a reputation for agile and efficient development of technology solutions for U.S. Defense, Aerospace, Human Factors, and Security markets. We continue to provide innovative solutions with multidisciplinary teams formed with exceptional employees. The DCS Air and Space Technology Sector is seeking a qualified candidate to apply advanced knowledge in the areas of software engineering, systems engineering, DevSecOps, and information technology for the technical design, development, modernization, integration, and sustainment of complex software systems supporting U.S. Department of Defense customers. As a member of our team, the successful candidate will support software development and modernization efforts in a secure DoD environment, including work associated with PlatformOne-aligned development practices, cloud-enabled software delivery, CI/CD pipelines, automated testing, secure coding, and mission application sustainment. This position requires an experienced technical contributor who can work under broadly defined direction, apply advanced engineering principles, and provide high-level technical guidance to engineers, managers, and customers. The candidate must be able to work independently and as part of a broader technical team. Successful candidates will have strong problem-solving skills, sound technical judgment, effective oral and written communication skills, and the ability to support complex software efforts in fast-paced mission environments. Essential Job Functions: Design, develop, test, integrate, and sustain software capabilities in support of DoD mission systems. Support modernization of existing applications, services, and user interfaces using current software engineering practices. Develop and maintain software components using object-oriented and web-based technologies. Support secure software development practices, including code quality analysis, vulnerability remediation, automated testing, and configuration management. Develop, maintain, and improve CI/CD pipelines and related software delivery processes. Support containerized or cloud-enabled software development environments, as required. Troubleshoot, analyze, and resolve complex software, integration, performance, and deployment issues. Work with engineers, managers, cybersecurity personnel, and customers to define requirements, assess technical approaches, and deliver mission-focused solutions. Provide technical guidance to software engineers and support disciplined development practices across the team. Prepare and maintain technical documentation, user documentation, installation guidance, and status materials. Support software deployments, testing activities, and operational sustainment in classified or controlled environments. Use initiative and independent judgment to develop solutions to complex technical problems. Perform additional duties as required. Required Skills: Due to the sensitivity of customer-related requirements, U.S. Citizenship is required. Active Top Secret security clearance, with the ability to maintain clearance eligibility. Bachelor's degree in Computer Science, Computer Engineering, Information Technology, Systems Engineering, or a related technical discipline, and at least 12 years of related experience; or a Master's degree and at least 10 years of related experience; or a PhD and at least 7 years of related experience. Experience designing, developing, testing, and sustaining complex software systems, including PlatformOne. Experience supporting PlatformOne, Cloud One, Iron Bank, Big Bang, Kubernetes, OpenShift, Docker, Helm, or similar DoD cloud/container platforms. Experience with object-oriented software development and modern software engineering practices. Experience developing web-based applications, services, APIs, or enterprise software capabilities. Experience using source control, issue tracking, automated build, and software configuration management tools. Experience supporting secure software development, vulnerability remediation, or software assurance activities. Ability to work independently under broadly defined direction. Ability to provide technical guidance to engineers, managers, and customers. Excellent written and verbal communication skills. Ability to work effectively in a team environment. Desired Skills: Experience developing or maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar technologies. Experience with DevSecOps principles, automated testing, static code analysis, vulnerability scanning, and secure deployment practices. Experience with Java, JavaScript, TypeScript, React, NodeJS, Python, C++, or similar development languages and frameworks. Experience with relational databases, SQL, data management, data integration, or enterprise service architectures. Experience with DoD cybersecurity requirements, RMF, ATO support, STIGs, or classified network deployment processes. Experience modernizing legacy applications or migrating older systems to current frameworks and architectures. Experience supporting Air Force, DoD, Intelligence Community, or mission-planning software systems. Experience working in Agile, Scrum, Kanban, or similar software development environments. Experience creating technical documentation, user guides, briefings, and status reports.
Are you ready to put your analytical expertise to work supporting mission-critical Army programs? We are seeking a motivated Cybersecurity Analyst to work on our Operations team in a fast-paced program office to manage critical Soldier programs and technologies in Fort Belvoir, Virginia. In this role, you will perform cybersecurity and Risk Management Framework (RMF) activities, while also providing limited IT operations, mobility, and security coordination support to ensure mission continuity. The successful candidate will be highly organized, detail-oriented, and capable of working independently in a dynamic environment. As a Cybersecurity Analyst, you will be part of an integrated government team where you will support U.S. Army acquisition programs. This opportunity will allow you to grow and learn as you support a variety of programs and task areas. Join our dynamic team and bring your problem-solving and coordination skills to a collaborative, mission-driven organization. We offer competitive pay, comprehensive benefits, and a supportive culture focused on professional growth and delivering meaningful results for the warfighter. Essential Job Functions: Evaluates and conducts design efforts from a cybersecurity viewpoint to ensure integration of all required cybersecurity products and adequacy of the analyses. Prepares and reviews Cybersecurity-related test plans, procedures, and reports on technical adequacy on assigned programs as well as related failure reports. Coordinates integration of Cybersecurity, COMSEC, and TEMPEST into the entire system life-cycle design, development, and deployment. Reviews and evaluates system performance against Cybersecurity-related requirements; monitors and assesses field performance; and assesses risk of meeting user requirements. Assists Program Management Offices with Cybersecurity-related acquisition document requirements (i.e., Cybersecurity Strategies) and statutory/regulatory/policy compliance. Implements the Defense (DOD) Risk Management Framework (RMF) and assists the Information System Security Manager (ISSM) to ensure successful implementation of associated security controls and reviews all RMF documentation packages, and system fielding, operations, or upgrade requirements. Assists with policy, programmatic, budget and doctrine issues associated with Cybersecurity within the organization. Prepares recommended IA approval and supporting information documentation, understands systems engineering processes, and possesses extensive experience in Network Security Architecture. Assists on matters relating to vulnerabilities and threats to Information Technology (IT) Systems, National Security Systems (NSS), and Automated Information Systems (AIS). Performs security, analyses and risk/vulnerability assessments. Manages computer incident coordination and notification with the local Network Enterprise Center (NEC) and servicing Computer Emergency Response Teams (CERT). Supports DOD Inspector General (IG) Cybersecurity Self-Assessment checklist compliance and Federal Information Security Management Act (FISMA). Assists with implementing audit measures to ensure compliance with regulatory requirements, participate in organizational inspections and surveys of computer systems, provide inspection results, and assess the adequacy of corrective actions taken. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Must possess an active Secret clearance. Bachelor's plus 12 years in Cybersecurity or Associates plus 14 years or similar of relevant experience. Experience in operational Cybersecurity accreditation and certification of embedded systems accredited at Secret level and below. Possess knowledge of AR 25-2 Army Cybersecurity and the DoD RMF to include current experience in obtaining system accreditation using the Enterprise Mission Assurance Support Service (eMASS) software. Security+ Certification required. Desired Skills: CISSP Preferred.
07/30/2026
Full time
Are you ready to put your analytical expertise to work supporting mission-critical Army programs? We are seeking a motivated Cybersecurity Analyst to work on our Operations team in a fast-paced program office to manage critical Soldier programs and technologies in Fort Belvoir, Virginia. In this role, you will perform cybersecurity and Risk Management Framework (RMF) activities, while also providing limited IT operations, mobility, and security coordination support to ensure mission continuity. The successful candidate will be highly organized, detail-oriented, and capable of working independently in a dynamic environment. As a Cybersecurity Analyst, you will be part of an integrated government team where you will support U.S. Army acquisition programs. This opportunity will allow you to grow and learn as you support a variety of programs and task areas. Join our dynamic team and bring your problem-solving and coordination skills to a collaborative, mission-driven organization. We offer competitive pay, comprehensive benefits, and a supportive culture focused on professional growth and delivering meaningful results for the warfighter. Essential Job Functions: Evaluates and conducts design efforts from a cybersecurity viewpoint to ensure integration of all required cybersecurity products and adequacy of the analyses. Prepares and reviews Cybersecurity-related test plans, procedures, and reports on technical adequacy on assigned programs as well as related failure reports. Coordinates integration of Cybersecurity, COMSEC, and TEMPEST into the entire system life-cycle design, development, and deployment. Reviews and evaluates system performance against Cybersecurity-related requirements; monitors and assesses field performance; and assesses risk of meeting user requirements. Assists Program Management Offices with Cybersecurity-related acquisition document requirements (i.e., Cybersecurity Strategies) and statutory/regulatory/policy compliance. Implements the Defense (DOD) Risk Management Framework (RMF) and assists the Information System Security Manager (ISSM) to ensure successful implementation of associated security controls and reviews all RMF documentation packages, and system fielding, operations, or upgrade requirements. Assists with policy, programmatic, budget and doctrine issues associated with Cybersecurity within the organization. Prepares recommended IA approval and supporting information documentation, understands systems engineering processes, and possesses extensive experience in Network Security Architecture. Assists on matters relating to vulnerabilities and threats to Information Technology (IT) Systems, National Security Systems (NSS), and Automated Information Systems (AIS). Performs security, analyses and risk/vulnerability assessments. Manages computer incident coordination and notification with the local Network Enterprise Center (NEC) and servicing Computer Emergency Response Teams (CERT). Supports DOD Inspector General (IG) Cybersecurity Self-Assessment checklist compliance and Federal Information Security Management Act (FISMA). Assists with implementing audit measures to ensure compliance with regulatory requirements, participate in organizational inspections and surveys of computer systems, provide inspection results, and assess the adequacy of corrective actions taken. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Must possess an active Secret clearance. Bachelor's plus 12 years in Cybersecurity or Associates plus 14 years or similar of relevant experience. Experience in operational Cybersecurity accreditation and certification of embedded systems accredited at Secret level and below. Possess knowledge of AR 25-2 Army Cybersecurity and the DoD RMF to include current experience in obtaining system accreditation using the Enterprise Mission Assurance Support Service (eMASS) software. Security+ Certification required. Desired Skills: CISSP Preferred.
Systems Engineer (Location: Chantilly, VA area) Job Description The Systems Engineer plays a crucial role in the development, integration, and maintenance of complex systems and technologies used in defense and aerospace applications. Job Responsibilities System Design and Development: Collaborate with cross-functional teams to design and develop system architectures, subsystems, and components for defense and aerospace systems. This involves understanding and analyzing system requirements, conducting feasibility studies, and creating design specifications. System Integration: Coordinate and oversee the integration of various subsystems, components, and technologies to ensure proper functionality and interoperability. This includes conducting system testing, troubleshooting issues, and implementing corrective measures. System Lifecycle Management: Support system lifecycle management activities, including system upgrades, configuration management, and maintenance planning. Monitor system performance, assess operational issues, and propose improvements or enhancements. Requirements Management: Define, document, and manage system requirements throughout the entire development lifecycle. This involves capturing stakeholder needs, analyzing and allocating requirements, and maintaining traceability between system elements. Risk Assessment and Mitigation: Identify potential risks and uncertainties associated with system design, integration, and operation. Develop and implement strategies to mitigate risks, ensure system safety, and enhance reliability. Technical Documentation: Prepare and maintain accurate and comprehensive technical documentation, including system specifications, design documents, test plans, and user manuals. Ensure compliance with industry standards and regulations. Collaboration and Communication: Work closely with interdisciplinary teams, including engineers, project managers, and stakeholders, to ensure effective communication, collaboration, and alignment of project goals and objectives. Participate in meetings, reviews, and presentations. Verification and Validation: Plan and execute verification and validation activities to ensure that the developed systems meet the specified requirements and performance metrics. This includes developing test procedures, conducting tests, analyzing results, and documenting findings. Job Requirements: A minimum of 7 years' experience working in a similar systems engineering capacity. Education: A bachelor's or master's degree in engineering, preferably in a relevant field such as Aerospace Engineering, Electrical Engineering, or Systems Engineering, Computer or Software Engineering. Advanced degrees or certifications may be preferred for senior or specialized positions. Technical Knowledge: Strong understanding of systems engineering principles, methodologies, and best practices. Familiarity with Defense and Aerospace industry standards, regulations, and specifications. Knowledge of relevant technologies, such as avionics, sensors, communication systems, and software integration. Analytical and Problem-Solving Skills: Ability to analyze complex system requirements, identify potential issues or risks, and propose innovative solutions. Strong problem-solving and troubleshooting skills to address integration challenges and ensure system performance. Experience with Computer Systems Integration and Test experience. Bash Scripting experience is a plus. Communication and Collaboration: Excellent verbal and written communication skills to effectively interact with multidisciplinary teams, stakeholders, and clients. Ability to present technical information in a clear and concise manner. Project Management: Proficiency in project management principles and practices. Experience in planning and executing engineering projects within defined timelines and budgets. Software Tools: Familiarity with systems engineering tools and software used for requirements management, modeling and simulation, configuration management, and project documentation (e.g., DOORS, SysML, MATLAB, Simulink). Recruiter: Dave Carlson Location: Onsite in Chantilly, VA (onsite only, no remote) Duration: 5-6 months, possibly longer. 9/80 schedule, first shift. Max GCR Bill Rate = $108/hr. (Max BR in FG = $112.39/hr) Please include candidate's birth day and month with the last 3 digits of SS# with resume submittal. Systems Engineer III Job Description The Systems Engineer plays a crucial role in the development, integration, and maintenance of complex systems and technologies used in defense and aerospace applications. Job Responsibilities System Design and Development: Collaborate with cross-functional teams to design and develop system architectures, subsystems, and components for defense and aerospace systems. This involves understanding and analyzing system requirements, conducting feasibility studies, and creating design specifications. System Integration: Coordinate and oversee the integration of various subsystems, components, and technologies to ensure proper functionality and interoperability. This includes conducting system testing, troubleshooting issues, and implementing corrective measures. System Lifecycle Management: Support system lifecycle management activities, including system upgrades, configuration management, and maintenance planning. Monitor system performance, assess operational issues, and propose improvements or enhancements. Requirements Management: Define, document, and manage system requirements throughout the entire development lifecycle. This involves capturing stakeholder needs, analyzing and allocating requirements, and maintaining traceability between system elements. Risk Assessment and Mitigation: Identify potential risks and uncertainties associated with system design, integration, and operation. Develop and implement strategies to mitigate risks, ensure system safety, and enhance reliability. Technical Documentation: Prepare and maintain accurate and comprehensive technical documentation, including system specifications, design documents, test plans, and user manuals. Ensure compliance with industry standards and regulations. Collaboration and Communication: Work closely with interdisciplinary teams, including engineers, project managers, and stakeholders, to ensure effective communication, collaboration, and alignment of project goals and objectives. Participate in meetings, reviews, and presentations. Verification and Validation: Plan and execute verification and validation activities to ensure that the developed systems meet the specified requirements and performance metrics. This includes developing test procedures, conducting tests, analyzing results, and documenting findings. Job Requirements: A minimum of 7 years' experience working in a similar systems engineering capacity. Education: A bachelor's or master's degree in engineering, preferably in a relevant field such as Aerospace Engineering, Electrical Engineering, or Systems Engineering, Computer or Software Engineering. Advanced degrees or certifications may be preferred for senior or specialized positions. Technical Knowledge: Strong understanding of systems engineering principles, methodologies, and best practices. Familiarity with Defense and Aerospace industry standards, regulations, and specifications. Knowledge of relevant technologies, such as avionics, sensors, communication systems, and software integration. Analytical and Problem-Solving Skills: Ability to analyze complex system requirements, identify potential issues or risks, and propose innovative solutions. Strong problem-solving and troubleshooting skills to address integration challenges and ensure system performance. Experience with Computer Systems Integration and Test experience. Bash Scripting experience is a plus. Communication and Collaboration: Excellent verbal and written communication skills to effectively interact with multidisciplinary teams, stakeholders, and clients. Ability to present technical information in a clear and concise manner. Project Management: Proficiency in project management principles and practices. Experience in planning and executing engineering projects within defined timelines and budgets. Software Tools: Familiarity with systems engineering tools and software used for requirements management, modeling and simulation, configuration management, and project documentation (e.g., DOORS, SysML, MATLAB, Simulink).
07/30/2026
Full time
Systems Engineer (Location: Chantilly, VA area) Job Description The Systems Engineer plays a crucial role in the development, integration, and maintenance of complex systems and technologies used in defense and aerospace applications. Job Responsibilities System Design and Development: Collaborate with cross-functional teams to design and develop system architectures, subsystems, and components for defense and aerospace systems. This involves understanding and analyzing system requirements, conducting feasibility studies, and creating design specifications. System Integration: Coordinate and oversee the integration of various subsystems, components, and technologies to ensure proper functionality and interoperability. This includes conducting system testing, troubleshooting issues, and implementing corrective measures. System Lifecycle Management: Support system lifecycle management activities, including system upgrades, configuration management, and maintenance planning. Monitor system performance, assess operational issues, and propose improvements or enhancements. Requirements Management: Define, document, and manage system requirements throughout the entire development lifecycle. This involves capturing stakeholder needs, analyzing and allocating requirements, and maintaining traceability between system elements. Risk Assessment and Mitigation: Identify potential risks and uncertainties associated with system design, integration, and operation. Develop and implement strategies to mitigate risks, ensure system safety, and enhance reliability. Technical Documentation: Prepare and maintain accurate and comprehensive technical documentation, including system specifications, design documents, test plans, and user manuals. Ensure compliance with industry standards and regulations. Collaboration and Communication: Work closely with interdisciplinary teams, including engineers, project managers, and stakeholders, to ensure effective communication, collaboration, and alignment of project goals and objectives. Participate in meetings, reviews, and presentations. Verification and Validation: Plan and execute verification and validation activities to ensure that the developed systems meet the specified requirements and performance metrics. This includes developing test procedures, conducting tests, analyzing results, and documenting findings. Job Requirements: A minimum of 7 years' experience working in a similar systems engineering capacity. Education: A bachelor's or master's degree in engineering, preferably in a relevant field such as Aerospace Engineering, Electrical Engineering, or Systems Engineering, Computer or Software Engineering. Advanced degrees or certifications may be preferred for senior or specialized positions. Technical Knowledge: Strong understanding of systems engineering principles, methodologies, and best practices. Familiarity with Defense and Aerospace industry standards, regulations, and specifications. Knowledge of relevant technologies, such as avionics, sensors, communication systems, and software integration. Analytical and Problem-Solving Skills: Ability to analyze complex system requirements, identify potential issues or risks, and propose innovative solutions. Strong problem-solving and troubleshooting skills to address integration challenges and ensure system performance. Experience with Computer Systems Integration and Test experience. Bash Scripting experience is a plus. Communication and Collaboration: Excellent verbal and written communication skills to effectively interact with multidisciplinary teams, stakeholders, and clients. Ability to present technical information in a clear and concise manner. Project Management: Proficiency in project management principles and practices. Experience in planning and executing engineering projects within defined timelines and budgets. Software Tools: Familiarity with systems engineering tools and software used for requirements management, modeling and simulation, configuration management, and project documentation (e.g., DOORS, SysML, MATLAB, Simulink). Recruiter: Dave Carlson Location: Onsite in Chantilly, VA (onsite only, no remote) Duration: 5-6 months, possibly longer. 9/80 schedule, first shift. Max GCR Bill Rate = $108/hr. (Max BR in FG = $112.39/hr) Please include candidate's birth day and month with the last 3 digits of SS# with resume submittal. Systems Engineer III Job Description The Systems Engineer plays a crucial role in the development, integration, and maintenance of complex systems and technologies used in defense and aerospace applications. Job Responsibilities System Design and Development: Collaborate with cross-functional teams to design and develop system architectures, subsystems, and components for defense and aerospace systems. This involves understanding and analyzing system requirements, conducting feasibility studies, and creating design specifications. System Integration: Coordinate and oversee the integration of various subsystems, components, and technologies to ensure proper functionality and interoperability. This includes conducting system testing, troubleshooting issues, and implementing corrective measures. System Lifecycle Management: Support system lifecycle management activities, including system upgrades, configuration management, and maintenance planning. Monitor system performance, assess operational issues, and propose improvements or enhancements. Requirements Management: Define, document, and manage system requirements throughout the entire development lifecycle. This involves capturing stakeholder needs, analyzing and allocating requirements, and maintaining traceability between system elements. Risk Assessment and Mitigation: Identify potential risks and uncertainties associated with system design, integration, and operation. Develop and implement strategies to mitigate risks, ensure system safety, and enhance reliability. Technical Documentation: Prepare and maintain accurate and comprehensive technical documentation, including system specifications, design documents, test plans, and user manuals. Ensure compliance with industry standards and regulations. Collaboration and Communication: Work closely with interdisciplinary teams, including engineers, project managers, and stakeholders, to ensure effective communication, collaboration, and alignment of project goals and objectives. Participate in meetings, reviews, and presentations. Verification and Validation: Plan and execute verification and validation activities to ensure that the developed systems meet the specified requirements and performance metrics. This includes developing test procedures, conducting tests, analyzing results, and documenting findings. Job Requirements: A minimum of 7 years' experience working in a similar systems engineering capacity. Education: A bachelor's or master's degree in engineering, preferably in a relevant field such as Aerospace Engineering, Electrical Engineering, or Systems Engineering, Computer or Software Engineering. Advanced degrees or certifications may be preferred for senior or specialized positions. Technical Knowledge: Strong understanding of systems engineering principles, methodologies, and best practices. Familiarity with Defense and Aerospace industry standards, regulations, and specifications. Knowledge of relevant technologies, such as avionics, sensors, communication systems, and software integration. Analytical and Problem-Solving Skills: Ability to analyze complex system requirements, identify potential issues or risks, and propose innovative solutions. Strong problem-solving and troubleshooting skills to address integration challenges and ensure system performance. Experience with Computer Systems Integration and Test experience. Bash Scripting experience is a plus. Communication and Collaboration: Excellent verbal and written communication skills to effectively interact with multidisciplinary teams, stakeholders, and clients. Ability to present technical information in a clear and concise manner. Project Management: Proficiency in project management principles and practices. Experience in planning and executing engineering projects within defined timelines and budgets. Software Tools: Familiarity with systems engineering tools and software used for requirements management, modeling and simulation, configuration management, and project documentation (e.g., DOORS, SysML, MATLAB, Simulink).
TagoreTech is seeking an experienced RF Test Systems Architect and Lab Manager to join our team. The RF Test Systems Architect & Lab Manager is responsible for designing, deploying, and maintaining TagoreTech's RF test infrastructure across multiple labs for characterization, product development, reliability, and production engineering test. This leader owns the technical roadmap for RF test systems while managing day to day lab operations, equipment strategy, safety, and workflow efficiency. The role is highly cross functional, supporting RF design, applications engineering, quality & reliability, supply chain, and program management.
07/30/2026
Full time
TagoreTech is seeking an experienced RF Test Systems Architect and Lab Manager to join our team. The RF Test Systems Architect & Lab Manager is responsible for designing, deploying, and maintaining TagoreTech's RF test infrastructure across multiple labs for characterization, product development, reliability, and production engineering test. This leader owns the technical roadmap for RF test systems while managing day to day lab operations, equipment strategy, safety, and workflow efficiency. The role is highly cross functional, supporting RF design, applications engineering, quality & reliability, supply chain, and program management.
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Systems Engineer (Mid-Level & Senior) to serve as the SCARS focal-leading adoption, interpretation, and enforcement of Simulator Common Architecture Requirements and Standards (SCARS) across the F-15 USAF simulator programs in Berkeley, MO. The role emphasizes systems requirements engineering, standards harmonization, and cross-program governance to ensure simulator architectures meet SCARS guidance when possible and enable interoperability, reusability, and sustainment. F-15 Training Systems provides trainers to USAF facilities throughout the US and at OCONUS locations to support warfighters. The F-15 Training systems include high fidelity cockpits with immersive visualization systems, high fidelity computer generated forces to provide synthetic opponents to train against, and applications providing instructors control over training setup, execution and post-training debrief. Position Responsibilities: Serve as the program SCARS focal and technical authority for simulator architecture standards and required artifacts Develop, review, and enforce system-level requirements, ICDs, and compliance matrices ensuring alignment to SCARS Translate SCARS standards into program-specific requirements and acceptance criteria; maintain traceability Coordinate with program systems engineers, software, simulation/Distributed Mission Operations (DMO) leads, and Program Managers to drive standards adoption Lead conformance reviews, audits, and gap analyses; generate remediation plans and verification strategies Maintain and evolve SCARS artifacts, templates, and guidance Provide subject-matter expertise during design reviews, integration planning, and supplier/vendor compliance checks Mentor junior systems engineers on requirements best practices, MBSE/SysML usage, and verification traceability Support accreditation, cybersecurity, and configuration management activities tied to SCARS compliance Special Program Access or other Government Access Requirements may be required for these positions. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years' systems engineering experience with emphasis on system requirements development, management, and verification Experience authoring and reviewing high-quality system requirements, ICDs, and compliance matrices Experience with management and requirements traceability Excellent written/oral communication with ability to produce standards artifacts and lead cross-functional reviews Preferred Qualifications (Desired Skills/Experience): 9 or more years' related work experience or an equivalent combination of higher education and experience (Senior Level 4) Boeing or defense simulation standards experience, SCARS exposure preferred. Experience with simulator architectures, DMO/Live, Virtual and Constructive (LVC) concepts, HLA/DIS/CIGI or similar standards Experience with MBSE/SysML tools and requirements management tools (e.g., DOORS) Experience with verification/validation planning, test-case derivation from requirements, and after action review artifacts Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Mid-Level (Level 3): $112,200- $151,800 Summary Pay Range Senior (Level 4): $136,850- $185,150 Applications for this position will be accepted until Aug. 05, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Top Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
07/27/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company is seeking a Systems Engineer (Mid-Level & Senior) to serve as the SCARS focal-leading adoption, interpretation, and enforcement of Simulator Common Architecture Requirements and Standards (SCARS) across the F-15 USAF simulator programs in Berkeley, MO. The role emphasizes systems requirements engineering, standards harmonization, and cross-program governance to ensure simulator architectures meet SCARS guidance when possible and enable interoperability, reusability, and sustainment. F-15 Training Systems provides trainers to USAF facilities throughout the US and at OCONUS locations to support warfighters. The F-15 Training systems include high fidelity cockpits with immersive visualization systems, high fidelity computer generated forces to provide synthetic opponents to train against, and applications providing instructors control over training setup, execution and post-training debrief. Position Responsibilities: Serve as the program SCARS focal and technical authority for simulator architecture standards and required artifacts Develop, review, and enforce system-level requirements, ICDs, and compliance matrices ensuring alignment to SCARS Translate SCARS standards into program-specific requirements and acceptance criteria; maintain traceability Coordinate with program systems engineers, software, simulation/Distributed Mission Operations (DMO) leads, and Program Managers to drive standards adoption Lead conformance reviews, audits, and gap analyses; generate remediation plans and verification strategies Maintain and evolve SCARS artifacts, templates, and guidance Provide subject-matter expertise during design reviews, integration planning, and supplier/vendor compliance checks Mentor junior systems engineers on requirements best practices, MBSE/SysML usage, and verification traceability Support accreditation, cybersecurity, and configuration management activities tied to SCARS compliance Special Program Access or other Government Access Requirements may be required for these positions. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years' systems engineering experience with emphasis on system requirements development, management, and verification Experience authoring and reviewing high-quality system requirements, ICDs, and compliance matrices Experience with management and requirements traceability Excellent written/oral communication with ability to produce standards artifacts and lead cross-functional reviews Preferred Qualifications (Desired Skills/Experience): 9 or more years' related work experience or an equivalent combination of higher education and experience (Senior Level 4) Boeing or defense simulation standards experience, SCARS exposure preferred. Experience with simulator architectures, DMO/Live, Virtual and Constructive (LVC) concepts, HLA/DIS/CIGI or similar standards Experience with MBSE/SysML tools and requirements management tools (e.g., DOORS) Experience with verification/validation planning, test-case derivation from requirements, and after action review artifacts Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Mid-Level (Level 3): $112,200- $151,800 Summary Pay Range Senior (Level 4): $136,850- $185,150 Applications for this position will be accepted until Aug. 05, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Top Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Description Summary: The Imaging Administrator will work to ensure efficient and effective operations for a variety of departments that produce medical images. The responsibilities include but are not limited to, maintaining various imaging applications as applicable to multiple service lines (radiology, cardiology, etc.). This includes the design, development, coordination, and delivery of value-added services that support and enhance solutions that retrieve, analyze, enhance, and exchange digitized medical images. The Imaging Administrator will act as a liaison in all medical imaging initiatives. They will participate in overseeing and coordinating existing and new imaging-related initiatives. This Job will provide support to end users. Responsibilities: Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders. Administers and supports various radiology PACS, and cardiology PACS (Sectra, Lumedx, Merge Cardio, Philips ISCV) as well as advanced imaging applications, interfaces, and storage architecture(s) and related technologies (e.g., voice recognition). Serves as a key onsite IT resource for implementation and support of medical imaging applications at a facility. Provides support for hemodynamic systems (Merge Hemo, Philips XPer, GE Maclab) and electrophysiology mapping applications (Boston Scientific Rhythmia, Biosense Webster Carto 3). Coordinates and assists in DICOM SR mappings to ancillary systems. Operates as a liaison between vendors, BioMed, IS business partners, and ancillary support teams. Provide second-level support as a local medical imaging subject matter expert to resolve incidents or fulfill requests; provide status on user issues. Performs medical imaging application maintenance and testing. Provides input to division policies and procedures and training documentation for medical imaging applications and processes. Collaborates in the Imaging Team's development of standard medical imaging education & documentation. Delivers hands-on training for medical imaging applications. Reviews and provides input to Information Security plans regarding medical imaging security requirements to meet HIPAA requirements on medical imaging applications. Participates in special projects as needed. Responsible for the continued monitoring of the overall health of the imaging system(s). Works closely with department directors/managers to ensure timely and complete capture of digital image data into the medical imaging software application(s), as well as network transmission. Assists with the development and utilization of operating standards, policies, procedures, and industry best practices related to medical imaging. Compiles and analyzes support data and recommends procedural and educational changes as appropriate. Acts as liaison between departments on medical imaging initiatives and procedures, assisting with new medical imaging endeavors both invasive and non-invasive. Utilizes basic concepts, standards, and tools relating to database administration. Reads, analyzes, and interprets complex documents; able to identify/interpret technical requirements/specifications. Explains imaging technology concepts/requirements to technical and non-technical audiences. Works effectively on concurrent multidisciplinary initiatives. Conveys information effectively in verbal and written communication. Works well with all clinical disciplines and staff of all CHRISTUS facilities. Participates in a rotating on-call schedule with other CHRISTUS ministries. Documents support cases in appropriate IT Service Management (ITSM) for pattern tracking. Performs other duties as assigned. Job Requirements: Education/Skills Associate's degree in Healthcare or IT, or 4 years of experience in PACS administration in lieu of a degree required Bachelor's degree preferred Experience 2 years of related healthcare experience required Medical Imaging experience preferred Basic computer experience required Licenses, Registrations, or Certifications Registered by CIIP, PARCA, ARRT, RDMS, or CNMT preferred Work Schedule: 5 Days - 8 Hours Work Type: Full Time
07/24/2026
Full time
Description Summary: The Imaging Administrator will work to ensure efficient and effective operations for a variety of departments that produce medical images. The responsibilities include but are not limited to, maintaining various imaging applications as applicable to multiple service lines (radiology, cardiology, etc.). This includes the design, development, coordination, and delivery of value-added services that support and enhance solutions that retrieve, analyze, enhance, and exchange digitized medical images. The Imaging Administrator will act as a liaison in all medical imaging initiatives. They will participate in overseeing and coordinating existing and new imaging-related initiatives. This Job will provide support to end users. Responsibilities: Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders. Administers and supports various radiology PACS, and cardiology PACS (Sectra, Lumedx, Merge Cardio, Philips ISCV) as well as advanced imaging applications, interfaces, and storage architecture(s) and related technologies (e.g., voice recognition). Serves as a key onsite IT resource for implementation and support of medical imaging applications at a facility. Provides support for hemodynamic systems (Merge Hemo, Philips XPer, GE Maclab) and electrophysiology mapping applications (Boston Scientific Rhythmia, Biosense Webster Carto 3). Coordinates and assists in DICOM SR mappings to ancillary systems. Operates as a liaison between vendors, BioMed, IS business partners, and ancillary support teams. Provide second-level support as a local medical imaging subject matter expert to resolve incidents or fulfill requests; provide status on user issues. Performs medical imaging application maintenance and testing. Provides input to division policies and procedures and training documentation for medical imaging applications and processes. Collaborates in the Imaging Team's development of standard medical imaging education & documentation. Delivers hands-on training for medical imaging applications. Reviews and provides input to Information Security plans regarding medical imaging security requirements to meet HIPAA requirements on medical imaging applications. Participates in special projects as needed. Responsible for the continued monitoring of the overall health of the imaging system(s). Works closely with department directors/managers to ensure timely and complete capture of digital image data into the medical imaging software application(s), as well as network transmission. Assists with the development and utilization of operating standards, policies, procedures, and industry best practices related to medical imaging. Compiles and analyzes support data and recommends procedural and educational changes as appropriate. Acts as liaison between departments on medical imaging initiatives and procedures, assisting with new medical imaging endeavors both invasive and non-invasive. Utilizes basic concepts, standards, and tools relating to database administration. Reads, analyzes, and interprets complex documents; able to identify/interpret technical requirements/specifications. Explains imaging technology concepts/requirements to technical and non-technical audiences. Works effectively on concurrent multidisciplinary initiatives. Conveys information effectively in verbal and written communication. Works well with all clinical disciplines and staff of all CHRISTUS facilities. Participates in a rotating on-call schedule with other CHRISTUS ministries. Documents support cases in appropriate IT Service Management (ITSM) for pattern tracking. Performs other duties as assigned. Job Requirements: Education/Skills Associate's degree in Healthcare or IT, or 4 years of experience in PACS administration in lieu of a degree required Bachelor's degree preferred Experience 2 years of related healthcare experience required Medical Imaging experience preferred Basic computer experience required Licenses, Registrations, or Certifications Registered by CIIP, PARCA, ARRT, RDMS, or CNMT preferred Work Schedule: 5 Days - 8 Hours Work Type: Full Time
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
07/08/2026
Full time
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
07/08/2026
Full time
This position supports hybrid work schedule depending on organization needs. Jabil is a leading product solutions provider offering end-to-end design, manufacturing, supply chain, and product management services. With operations in over 100 facilities across 30 countries, Jabil delivers innovative, integrated, and customized solutions to clients across diverse industries-including automotive, consumer lifestyle and wearables, defense and aerospace, smart home and building, industrial and energy, enterprise and infrastructure, healthcare, mobility, packaging, and printing. JOB SUMMARY Jabil is seeking a Manufacturing Test Development Manager to lead the development and deployment of large-scale production software systems supporting our Intelligent Infrastructure division. You will be applying unique and innovative approaches to solving problems within a large-scale manufacturing production environment. You and your team will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. This is not a traditional QA manager nor manual test role. This position is focused on leading teams that design, build, and deploy production-grade software platforms, automation systems, and test infrastructure across global manufacturing environments, with a strong emphasis on scalable software development and system architecture. You will lead a team of software engineers and play a key role in technical decision-making, architecture strategy, and cross-functional leadership, partnering with engineering, manufacturing, quality, and customers to deliver scalable, high-impact solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES: LEADERSHIP AND MANAGEMENT RESPONSIBILITIES People manager for a team of software developers and product engineers in support of global cloud operations. Attract, hire, onboard, lead, coach, mentor and inspire your team to deliver the best in class for our customers and employees Establish clear measurable goals and objectives by which to determine individual and team results (i.e. operational metrics, results against project timelines). Solicit ongoing self and team feedback from the business unit (BU), customer and team members. Perform team member evaluations professionally and on time. Drive individuals and the team to continuously improve in key operational metrics and the achievement of the organizational goals. Coordinate activities of team and keep them focused in times of crises. Ensure recognition and rewards are managed fairly and consistently in area of responsibility. FUNCTIONAL MANAGEMENT RESPONSIBILITIES Plan and formulate aspects of Customer BU projects such as objective or purpose of project, applications derived from findings, cost, and required technical resources. Provide direction on software design, development, and automation strategies to improve, modify, or create new systems and processes. Oversee key projects, processes and performance reports, data, and analysis. Develop, determine, and implement policies, procedures and programs. Analyze technology trends, software tooling, and resource needs to effectively plan projects. Oversee definition and collaboration on overall test infrastructure and application architectures with a strong emphasis on scalable software systems. Lead creation of high-level software design specifications and system architecture decisions. Drive development of production infrastructure and related application code and automation frameworks. Lead and participate in peer/code reviews to ensure software quality and maintainability. Contribute to and improve software build methodology, CI/CD pipelines, procedures, and engineering environments. Provide operational and development support for software platforms and test infrastructure deployed at production facilities. JOB QUALIFICATIONS and KNOWLEDGE REQUIREMENTS: Knowledge of professional software engineering practices across the complete SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations. Agile, CI/CD, and SDLC process implementation and application experience. Strong expertise in programming/scripting languages: Python (primary), BASH; Java experience a plus. Linux development experience with a solid understanding of system fundamentals and internals (Ubuntu, CentOS). Experience with containerization and virtualization environments (VMware, Docker). Solid understanding of large-scale distributed systems, including multi-tier architectures, application security, monitoring, and storage systems. Experience with front-end and back-end Web UI development. Experience with common web APIs (REST, XML-RPC). Experience with code versioning tools (Git preferred). Experience with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe) such as IPMI, Redfish, FIO, Linpack, memtester. Experience with virtual machine configuration (DHCP, PXE boot, nginx), VMware preferred. Familiarity with enterprise data center networking (L1-L3 concepts such as BGP, DHCP Relay, ECMP); Arista CloudVision is a plus. EDUCATION & EXPERIENCE REQUIREMENTS BS degree in Electrical/Computer Engineering, Computer Science, or related field. MS preferred. 10+ years' experience in a software development/test capacity with enterprise server, storage, or networking products. 3+ years people management experience. Excellent verbal and written communication skills. Prior experience directly managing software development teams Experience managing remote, multi-national and geographically dispersed development teams. Domestic and/or International travel, up to 25%, may be required.
