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DCS Corp. 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 our multidisciplinary teams formed with exceptional employees. We are seeking a Software Engineer to support unique systems solutions for the National Geospatial-Intelligence Agency (NGA). We are seeking a Software Engineer to support our client's intelligence analysis products and capabilities. This position involves providing software development capabilities to enhance existing and emerging client capabilities, including design and development, modernization of existing applications and services, and operations and sustainment. The role focuses on driving the client's adaptation of higher levels of automation and operational efficiency through agile development methodologies, rapid prototyping, and modern technology stacks. Essential Job Functions: Develop, modernize, and maintain software applications and services. Contributes to the design and architecture of high-performance applications. Leverage agile methodologies to enhance operational efficiency. Participate in rapid prototyping to quickly iterate and improve solutions. Utilize modern technology stacks to meet client needs. Implement CI/CD pipelines using GitLab. Collaborate with cross-functional teams to deliver high-quality software solutions. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. At least a BS in Computer Science/Computer Engineering or Information Technology with at least 5 years of related experience. Applicants selected will be subject to a U.S. Government background investigation and must meet eligibility requirements for access to classified information. Must have an active TS/SCI security clearance with the ability to maintain clearance. Working in Agile environments Using GitLab for code source repository and using GitLab CI/CD Proficiency in at least two of the following: Java, JavaScript or Python enterprise application development Web services architecture, design, and development Relational database design Spatial database design NoSQL database design Micro-service architecture, design and development Containerization and/or Orchestration API Development Cloud Native Development, AWS, Azure, Google Cloud or similar Cloud Service providers Desired Skills: A Master of Science or equivalent degree in Computer Science, Engineering, Mathematics, Information Systems. Cybersecurity, or equivalent technical degree and a minimum of 3 years of experience in full stack development to include Java, Web services, Database, and microservice development software, engineering/development, or a related area that demonstrates the ability to successfully perform the duties associated with this work. Or, a Bachelor of Science or equivalent degree in Computer Science, Engineering, Mathematics, Information Systems or equivalent technical degree and a minimum of 5 years of experience in full stack development to include Java, Web services, Database, and micro-service development software, engineering/development, or a related area that demonstrates the ability to successfully perform the duties associated with this work. Or, a minimum, as equivalent to education, of 7 years of experience in software engineering/development, or a related area that demonstrates the ability to successfully perform the duties associated with this work may be substituted for a technical degree. Demonstrated experience in the development of customized code, scripts, modules, macro procedures, or libraries to implement specialized spatial analysis functions using languages such as Python, Java, JavaScript, PHP, C, Perl, or similar scripting and development languages. Demonstrated experience in integration and tailoring of geospatial Commercial Off-The-Shelf (COTS) software applications; specialized software and database development and maintenance; integration of related specialized hardware; engineering studies to identify and remedy geodata processing bottlenecks. Demonstrated experience with government and/or commercial imagery products, to include SAR or related RADAR imaging technologies. Demonstrated experience working with and developing geospatial information systems (GIS) to include opensource and proprietary geospatial formats Demonstrated experience in use and development with common geospatial tools, data, and operating platforms. These may include, but are not limited to: Tools - Boundless Spatial suite, Remote View, PostGRES/PostGIS, Oracle Spatial and/or other geospatial databases, ArcGIS Desktop, ArcGIS Server, Image Server, and File Geodatabases. Data formats including KML, KMZ, NITF, TIFF, JPEG, GeoPDF, and similar georelated formats and data structures. Operating Platforms - ESRI, OpenGeo Suite, or similar. Demonstrated experience abstracting new or legacy systems via standards-based APIs to include web services. Including but not limited to Open Geospatial Consortium standards Demonstrated experience in at least one of the following: Developing terrain analysis visualization and algorithms. Developing automated detection algorithms

DCS Corp. 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 our multidisciplinary teams formed with exceptional employees. We are seeking a Software Engineer to support unique systems solutions for the National Geospatial-Intelligence Agency (NGA). We are seeking a Software Engineer to support our client's intelligence analysis products and capabilities. This position involves providing software development capabilities to enhance existing and emerging client capabilities, including design and development, modernization of existing applications and services, and operations and sustainment. The role focuses on driving the client's adaptation of higher levels of automation and operational efficiency through agile development methodologies, rapid prototyping, and modern technology stacks. Essential Job Functions: Develop, modernize, and maintain software applications and services. Contributes to the design and architecture of high-performance applications. Leverage agile methodologies to enhance operational efficiency. Participate in rapid prototyping to quickly iterate and improve solutions. Utilize modern technology stacks to meet client needs. Implement CI/CD pipelines using GitLab. Collaborate with cross-functional teams to deliver high-quality software solutions. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. At least a BS in Computer Science/Computer Engineering or Information Technology with at least 8 years of related experience. Applicants selected will be subject to a U.S. Government background investigation and must meet eligibility requirements for access to classified information: Active TS/SCI security clearance with the ability to maintain clearance. Demonstrated firsthand experience in at least three of the following: Java, JavaScript or Python enterprise application development. Web services architecture, design, and development. Relational database design. Spatial database design. NoSQL database design. Micro-service architecture, design and development. Containerization and/or Orchestration. API Development. Cloud Native Development, AWS, Azure, Google Cloud or similar Cloud Service providers. Demonstrated experience with relational database development. Must have minimum of 3 years or more experience with agile and lean philosophies, with experience serving as scrum or team lead a plus. Demonstrated experience with Continuous Integration and Continuous Delivery (CI/CD) techniques, test-driven development, or automated testing practices Desired Skills: A Master of Science or equivalent degree in Computer Science, Engineering, Mathematics, Information Systems. Cybersecurity, or equivalent technical degree and a minimum of 8 years of experience in full stack development to include Java, Web services, Database, and micro-service development software, engineering/development, or a related area that demonstrates the ability to successfully perform the duties associated with this work. Or, a Bachelor of Science or equivalent degree in Computer Science, Engineering, Mathematics, Information Systems or equivalent technical degree and a minimum of 10 years of experience in full stack development to include Java, Web services, Database, and micro-service development software, engineering/development, or a related area that demonstrates the ability to successfully perform the duties associated with this work. Or, a minimum, as equivalent to education, of 12 years of experience in software engineering/development, or a related area that demonstrates the ability to successfully perform the duties associated with this work may be substituted for a technical degree. Possesses at least one of the Agile Development Certifications. Certified Scrum Master. Agile Certified Practitioner (PMI-ACP). Certified Scrum Professional. Demonstrated experience in development of customized code, scripts, modules, macro procedures, or libraries to implement specialized spatial analysis functions using languages such as Python, Java, JavaScript, PHP, C, Perl, or similar scripting and development languages. Demonstrated experience working independently with clients or stakeholders to develop user-stories in support of full-service consumer and business applications. Demonstrated experience in integration and tailoring of geospatial Commercial Off-The-Shelf (COTS) software applications; specialized software and database development and maintenance; integration of related specialized hardware; engineering studies to identify and remedy geodata processing bottlenecks. Demonstrated experience with government and/or commercial imagery products, to include SAR or related RADAR imaging technologies. Demonstrated experience working with and developing geospatial information systems (GIS) to include open-source and proprietary geospatial formats. Demonstrated experience in use and development with common geospatial tools, data, and operating platforms. These may include, but are not limited to: Tools - Boundless Spatial suite, Remote View, PostGRES/PostGIS, Oracle Spatial and/or other geospatial databases, ArcGIS Desktop, ArcGIS Server, Image Server, and File Geodatabases. Data formats including KML, KMZ, NITF, TIFF, JPEG, GeoPDF, and similar geo-related formats and data structures. Operating Platforms - ESRI, OpenGeo Suite, or similar. In-depth experience abstracting new or legacy systems via standards-based API's to include web services. Including but not limited to Open Geospatial Consortium standards. Demonstrated experience in at least one of the following: Developing terrain analysis visualization and algorithms. Developing automated detection algorithms.

In-Q-Tel In-Q-Tel is an Affirmative Action Employer who values diversity in the workplace. EOE/M/F/disability/vets Technology Architect Fellow - AI Enablement US-VA-McLean Job ID: Type: Intern # of Openings: 1 Category: Technology Consulting IQT Overview The Technology Architect Fellow will assist IQT staff in working with innovative startup companies to accelerate the adoption of capabilities with IQT's mission partners. They will work in the AI Enablement practice, helping to cover technologies such as Generative AI, Agentic AI, Enterprise Software, novel Data, and the underlying software infrastructure stack. They will also assist in developing thought leadership that will help inform both IQT and government partners on topics related to AI and its disruptive path on their national security mission. This is an excellent opportunity for those interested in the startup ecosystem, venture capital, and the national security space. Applications will start being reviewed in November Responsibilities Assess frontier capabilities and companies in AI for impact and relevance to the national security mission. Develop strategies for evaluating AI systems such as models and AI agents. Support the development of technical assessment reports and AI system requirements specifications. Support technical due diligence of innovative AI startups for use in the national security mission. Support discussions and presentations with mission partners on AI-related technical issues. Participate in technical oversight of projects with startups, support discussions around use cases, deployment considerations, and adoption, and craft these projects into deals. Anticipated Projects: Lead or contribute to an assessment of frontier AI capabilities for the national security mission. Review technical problem statements and use cases from government partners and identify AI capabilities to meet these mission needs. Participate in discussions with AI-focused startup companies, supporting the technical vetting and due diligence process for potential investments. Qualifications Due to contractual reasons, U.S. Citizenship is required Experience with software, such as through the software development lifecycle, operations, product, or through enterprise rollouts. Experience in evaluating AI systems such as models and agentic workflows is a plus. Candidate for a graduate degree, in computer science, machine learning, or related engineering or science discipline. Ability to perform research in both technical disciplines and startup companies. Ability to communicate complex AI subjects to technical and non-technical audiences. Strong writing skills, with experience in AI technical writing and proposal writing. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. PM22 PI47daa2a3a56a-9718

Role: Java Technical LeadBill Rate: $85/hour C2CLocation: Monrovia,CA Duration: 12+ months/ long-term Interview Criteria: Telephonic + ZoomDirect Client Requirement Software Engineer Lead Leading a team in designing, developing, and deploying applications, overseeing both the front-end and back-end using Java and related technologies. Key responsibilities include mentoring developers, ensuring code quality through reviews, collaborating with cross-functional teams, and driving technical strategy for scalable and robust solutions. Core responsibilities Design and architect: Lead the technical design and architecture for scalable, robust, and full-stack applications, often using Java frameworks like Spring Boot and modern front-end frameworks. Develop and deploy: Oversee the end-to-end development and deployment process, including database work, back-end development, front-end UI/UX implementation, and the creation of microservices. Collaborate: Work closely with cross-functional teams, including product owners, QA, and other stakeholders, to define project requirements and ensure seamless integration. Technical leadership: Drive technical initiatives, ensure coding standards are followed, and act as a point of escalation for technical issues and roadblocks. Define service boundaries and contracts; design APIs (REST/JSON; GraphQL preferred), integration patterns (sync/async, pub/sub, CQRS, Saga/Outbox), and data contracts. Establish and govern NFRs (performance, availability, scalability, observability, resilience, security, cost) with measurable SLOs and acceptance criteria. Produce clear artifacts: HLD/LLD, sequence diagrams, ADRs, deployment views, and integration specifications. Guide development teams through design playback, spike plans, reference implementations for complex areas, and PR/design reviews of critical components. Troubleshoot: Debug and resolve issues across the entire technology stack. Stay current: Stay updated on emerging technologies and industry trends to contribute to the company's technical roadmap and best practices. Key skills and qualifications Extensive experience with Java, including frameworks like Spring Boot. Proficiency in front-end technologies like Angular, React, or similar. Hands-on experience with Azure cloud services and microservices architecture. Strong understanding of DevOps principles and CI/CD pipelines. Experience in a lead and working with offshore team Excellent communication and collaboration skills. Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible Srinivasa Reddy Kandi Client Delivery Manager Valiant Technologies LLC Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law

DevOps Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Nov 17, 2025 Post Date 107201 Requisition # JOB PURPOSE Enterprise Technologies is a central IT unit at Stanford University, responsible for delivering foundational computing and communication infrastructure that supports the University's academic, research, and administrative functions. We are seeking a Senior DevOps Engineer with proven expertise in API development, as well as administration and integration experience across Google Workspace, AWS, and Microsoft Azure. In this role, you will design and automate cloud infrastructure, optimize CI/CD pipelines, develop and maintain internal APIs, and manage cloud-based configurations, identity services, and security policies-leveraging scripting and API-driven automation across multi-cloud and enterprise collaboration platforms. RESPONSIBILITIES The DevOps Engineer will serve as a key member of the team, leading the design, development, planning, support, and security of Stanford's infrastructure with a focus on Google Cloud technologies. This role is critical in optimizing software delivery pipelines, enabling collaboration across teams, and ensuring the reliability, performance, and scalability of systems running in Google Cloud. The ideal candidate will have deep experience with infrastructure automation, cloud-native tooling, and API integrations within the Google ecosystem-including GCP and Google Workspace. Strong leadership, scripting, and communication skills are essential. Key responsibilities include: CORE DUTIES: Design, implement, and maintain scalable CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI). Automate infrastructure provisioning using tools like Terraform, CloudFormation, or Pulumi. Build, deploy, and manage containerized applications using Docker and orchestration platforms (Kubernetes, ECS, etc.). Develop and maintain RESTful and/or GraphQL APIs using Python, Go, or Node.js. Manage and integrate Google Workspace with internal systems, including API access, identity provisioning (via Directory API), and service automation. Monitor system health and performance using observability tools (e.g., Prometheus, Grafana, ELK, Datadog). Implement security best practices, including IAM, secrets management, and compliance enforcement. Collaborate with engineering, security, and IT teams to maintain a secure and efficient development environment. Support incident response, root cause analysis, and disaster recovery procedures. Document infrastructure, processes, and API endpoints thoroughly. Participating in 24x7 on-call support rotation. MINIMUM REQUIREMENTS: Education & Experience Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills and Abilities: Bachelor's degree in Computer Science, Engineering, or equivalent work experience. 5+ years in DevOps, SRE, or Platform Engineering roles. Hands-on experience with public cloud platforms (AWS, Azure, or GCP-GCP preferred). Strong programming skills in one or more languages for API development (e.g., Python, Go, Node.js). Proficiency with CI/CD tools and IaC frameworks (e.g., Terraform, Ansible, CloudFormation). Experience with Docker and container orchestration tools such as Kubernetes or ECS. Demonstrated experience managing and integrating Google Workspace in enterprise environments, including APIs, security settings, and automation. Solid knowledge of Linux administration, networking, and cloud security principles. Strong troubleshooting and debugging skills across the stack. Excellent communication, documentation, and collaboration abilities. Should demonstrate a willingness to learn and adapt to new technologies and industry trends. Preferred Qualifications (Nice to Have): Experience building and maintaining internal developer platforms or shared infrastructure. Experience with API management platforms (e.g., Apigee, AWS API Gateway, Kong). Hands-on experience with Proofpoint administration, including email security configuration and policy management. Experience with Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and security/compliance controls. Google Workspace Administrator or GCP-related certifications. Experience with Entra ID or other Identity Providers for SSO and federated authentication flows. The expected pay range for this position is $150,289 to $171,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4833 Employee Status: Regular Grade: K Requisition ID: 107201 Work Arrangement : Hybrid Eligible

The Advanced Research Computing at Hopkins (ARCH) group is seeking a highly qualified and motivated HPC Systems Engineer to join the systems team. This system (ROCKFISH), with over 45,000 cores and several petabytes of storage, serves the HPC and data intensive science needs of researchers at Johns Hopkins University. The Systems Engineer contributes to the strategic planning, design, testing, organization and implementation of cutting-edge technology projects for the facility. The systems team is responsible for the day-to-day administration of HPC clusters, High Performance storage systems, backups, networking, security and any other services related to the operation of a large HPC center. The successful candidate will have experience in similar roles in high performance computing (HPC) labs or university settings. Specific Duties & Responsibilities 70% Systems Engineering, Administration, Security, and Oversight Work with Sr staff to design, organize, plan, test and implement cutting-edge hardware designs for an HPC environment. Extensively document systems processes so that users can easily find useful information and other IT staff can perform routine tasks and provide backup. Provides stable solutions for HPC resources. Maintain job scheduling and storage allocation systems and policies to ensure fair allocation of shared resources. Maintain extensive monitoring systems to facilitate quick, proactive responses to routine failures, and to provide comprehensive performance data logging. Provide general system administration backup and escalation for other staff. Assist with facilities-related issues that directly affect MARCC Ensure resources meet the community's needs and are highly available to the group with limited interruption. Manage inventory of resources in coordination with respective vendors. Automate user account creation, management, and purging. Contribute to planning sessions on network and security issues for MARCC. Work closely with the central networking group. Implement network configuration and security measures to assure effective utilization of resources. Understand HPC technical needs. Work closely with the facility's director and oversight groups to successfully implement policies and procedures. Create and maintain a stable, secure operating system and software environment, which continues to meet users' evolving research needs. Implement and maintain secure measures to protect data subject to restrictions. Manage data access restrictions on a per user and group basis. Implement and maintain monitoring measures for data and system access. Other Systems Tasks as assigned by supervisor. 20% Technological Research Offer technical advice on new projects that directly involve HPC computing at Hopkins. Develop custom tools where necessary and contribute useful creations back to open-source development efforts where appropriate. Implement and test new technologies that could be beneficial to HPC. 10% Training/Education Continuously evaluate new tools and technologies for use in existing and future clusters. Attending department and University-sponsored training to increase knowledge, improve skills, and learn new skills. May substitute University training for supervisor approved commercial job-related course offerings. Special Knowledge, Skills, & Abilities: Proven experience deploying large-complex scale projects. Proven experience across multiple technologies with background in applications, databases, middleware, etc. In-depth knowledge of the design and organization of cutting-edge technology in HPC environments. In-depth understanding of HPC Cluster hardware and management software. Understanding of massive high performance parallel storage and methodologies. Expert knowledge of Unix/Linux systems administration, including all aspects of management, monitoring, performance analysis, and integration in potentially complex heterogeneous environments. Knowledge of networking, high speed interconnects, and network security principles in an HPC environment. Use of configuration management tools (e.g. Bright, xCAT, puppet, IPMI, ROCKS) to help maintain large-scale Linux clusters, supercomputers, storage systems, and smaller systems. The ability to interact with peer institutions to support HPC directives effectively, furthering the goals of the MARCC facility. Understand, implement, troubleshoot, and support job scheduling, resource management and workload management systems, including diagnosis of failed jobs, implementation of policies, and investigations of new features and services. Understand and support hierarchical file system infrastructure, software and services, including high performance parallel storage, backup systems, and robotic tape libraries. Develop reports and customize tools that automate the monitoring process of critical systems and alert team of issues automatically. Evaluate, implement and manage appropriate high level complex software and hardware solutions by using best practices for the environment to ensure system integrity. Install and configure infrastructure applications by following the industry's best practices to deliver effective solutions. Maintain an effective schedule for systems backups and archive operations for mission critical systems. Audit and maintain user access, authorization and authentication. Generate periodic reports on resource utilization. Maintain resource inventory using best practice applications. Advanced knowledge of Linux, Apache, SQL, PHP/Python/Perl (LAMP) technology/toolkits. Ability to handle high priority escalations whenever necessary Ability to multitask while managing time and priorities Troubleshoot and solve difficult system issues as they arise. Must be adaptable and able to meet conflicting deadlines. Exceptional organizational skills. Maintain effective and thorough documentation of all configuration and tasks performed. Ability to automate systems administration tasks wherever possible. Excellent oral and written interpersonal skills. Ability to meet the physical requirements of the position. Keep up to date on emerging technologies. Research, recommend, and implement new technologies based on their value to the research facility. Ability to maintain confidentiality. Excellent customer service skills. Excellent communication skills Must demonstrate strong critical thinking and analytical reasoning. Internal and External Contacts This position will interact with an array of departmental and central administrative offices, faculty, staff, researchers, and students, and with numerous external constituents (i.e. other college administrators and faculty, private businesses, industry partners, officials of federal and local agencies and research foundations) for the purpose of accomplishing HPC technology goals. This includes providing instruction on protocol, regulations and guidelines pertinent to the agency and/or University. Works routinely with JHU and UMCP faculty, administrators, students, and researchers. Collaborates regularly with professional colleagues from the central organization, and from other academic departments. Collaborates regularly with colleagues in industry and at other peer institutions. Minimum Qualifications Bachelor's Degree. Five years related experience. Additional education may substitute for required experience and additional related experience may substitute for required education, to the extent permitted by the JHU equivalency formula. Preferred Qualifications Seven (7) years experience managing Linux servers, with direct experience managing HPC clusters. Experience as a high-level Linux system administrator. Experience managing mission critical services. Familiarity with configuration of the HPC software stack, including MPI, OpenMP, Intel, and GNU compilers, Math libraries. Experience with open-source software compilation. In-depth knowledge of TCP/IP networking and related protocols, InfiniBand, etc. Experience with scientific application management packages like pymodules, modules. Excellent scripting skills, python, perl, shell. Programming skills in C, C++, or scientific language, desired but not required Experience with MySQL or Mariadb database programming, desired but not required. Expert level knowledge of configuration management and monitoring tools (puppet, nagios, etc). Experience configuring resource manager applications (like SLURM). Experience with Apache administration. Knowledge of scientific software applications in academic supercomputing environments. Familiarity or experience with data subject to restrictions, desired but not required. Classified Title: Systems Engineer Job Posting Title (Working Title): HPC Systems Engineer (Advanced Research Computing) Role/Level/Range: ATP/04/PE Starting Salary Range: $73,300 - $128,300 Annually (Commensurate w/exp.) Employee group: Full Time Schedule: 37.5 hrs/wk, M-F FLSA Status: Exempt Location: Hybrid/Homewood Campus . click apply for full job details

Job ID: 709262BR Date posted: Oct. 29, 2025 Description: THE WORK This senior role fosters collaboration with other senior engineers for the development of advanced data analytics solutions and agile development projects in support of a high-visibility mission. This position involves providing technical leadership and guidance on data analytics and agile development projects, as well as collaborating with cross-functional teams to drive mission objectives. WHO WE ARE At Lockheed Martin, we're a leading aerospace and defense company that's shaping the future of cyber and intelligence. We're committed to innovating at the Edge: Harnessing the latest advancements in cyber, artificial intelligence, and machine learning to stay ahead of emerging threats and opportunities. This Program is seeking a software engineer to parse data products which make information available for Analytic missions. This Program has a robust process to ensure quality of products. The process includes DAT, UAT/SME Validation, Smoke Test, and System Level Test (SLT) prior to deploying products to production. WHO YOU ARE Experience as a Software Engineer with knowledge assisting in the design, development, testing, and debugging of software solutions, with a focus on Linux operating systems. Strong Familiarity with programming languages such as Java. WHY JOIN US Providing ongoing training, mentorship, and development opportunities to help our cyber and intelligence professionals stay at the forefront of their field and achieve their career goals. Competitive and comprehensive benefits package. Rewards and recognition for your hard work. Medical and dental coverage. 401k retirement savings plan. Paid time off for work/life balance. And more Basic Qualifications: Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 20 years of professional experience. Twenty (20) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree. Demonstrated experience with distributed scale Big Data stores (i.e. Accumulo), Map/Reduce programming model (i.e. Hadoop), Hadoop Distributed File System, and data serialization (i.e. JSON). Experience with programming languages such as Java and scripting languages such as Perl, Python, Bash. TS/ SCI with Poly Desired Skills: • Full-Stack development (Front-end and back-end) • Implement and maintain high availability (HA) and replication strategies. • Implement and maintain PostgresSQL and PostGIS database • AWS Managed Services (i.e. EC2, S3, VPC) • Understanding of CI/CD pipelines (using GitLab) and infrastructure as code (Terraform, AWS CloudFormation). • Experience with containerized environments (Docker, Kubernetes, EKS). • Prometheus, Grafana, or other logging/monitoring tools Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Software Engineering Type: Task Order/IDIQ Shift: First

Real people. Real service. At , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we're dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are looking for a new Principal Backend Engineer to join our growing IT Team. This individual will report to our Sr. Director of IT, serve as a technical leader and system architect, guiding the design and delivery of scalable, reliable, and high-performance solutions across our e-commerce and internal platforms. You'll partner closely with senior leaders to define the long-term engineering vision and lead initiatives that strengthen system performance, scalability, and reliability. If you're an experienced technical leader who thrives on collaboration, mentorship, and building solutions that power business growth, we'd love to hear from you! This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. This position requires travel to our headquarters in Melville, NY 3 times per year for internal meetings and team building activities. We reimburse reasonable and necessary travel expenses, and you're also welcome to work on-site anytime beyond these visits - our doors are always open! Role Type: Full-Time Location: Remote Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility Base Salary: $140,000 - $175,000 per year Responsibilities : Technical Strategy & Architecture Architect end-to-end software solutions using modern frameworks and design patterns aligned with scalability, performance, and maintainability goals. Lead system design discussions for high-traffic applications, ensuring robust architecture for business-critical services. Evaluate, recommend, and implement architectural improvements to enhance scalability, observability, and resilience. Define and uphold best practices for code quality, security, accessibility, and data privacy compliance. Project Leadership Lead complex, cross-functional projects from concept to delivery, aligning engineering solutions with business needs. Collaborate with product and business teams to define technical vision and ensure cohesive project execution. Oversee the technical implementation of new features and services, ensuring efficient use of system resources and infrastructure. System Engineering & Optimization Build and maintain distributed systems using Spring Boot microservices, Docker, and Kubernetes. Design and optimize high-performance databases using MySQL and Oracle, leveraging indexing and tuning for efficiency. Implement and manage Redis for caching, Eureka Server for service registration, and the ELK Stack for monitoring and analytics. Configure Nginx and Apache for load balancing and high availability across production systems. DevOps & Reliability Engineering Own and maintain CI/CD pipelines using Jenkins for automated builds, testing, and deployments. Ensure system health and stability through proactive monitoring, logging, and alerting strategies. Drive improvements in deployment automation, infrastructure as code, and site reliability practices. Leadership & Collaboration Act as a technical advisor and mentor, helping develop engineers' skills in architecture, design, and problem-solving. Conduct code and design reviews to maintain engineering excellence. Collaborate effectively with senior leadership and cross-departmental stakeholders to influence company-wide technical initiatives. Foster a culture of innovation, ownership, and accountability across the engineering organization. Requirements : Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Technology, or related field. 10+ years of experience in enterprise-level software development. Advanced proficiency in: Java , Spring Boot , Microservices Architecture MySQL , Oracle , and Redis React and modern front-end frameworks Docker , Kubernetes , Jenkins CI/CD Linux/UNIX , Nginx , Apache , and ELK Stack Deep understanding of data structures , algorithms , and system design principles . Proven ability to architect and deliver complex backend systems and mentor technical teams . Strong collaboration skills with the ability to influence senior leaders and align multiple teams toward shared goals. Why work with us: We have awesome benefits - We offer a wide variety of benefits to help support you and your loved ones. These include: Comprehensive and affordable medical, dental, vision, and voluntary life insurance options 401(k) with up to 4% company match Paid vacation, sick time, and holidays Company-paid basic life insurance and long-term disability Discounted auto, home, and pet insurance programs Flexible Spending Account (FSA) Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP) Company-provided equipment and one-time $250 work from home stipend $750 annual professional development budget $25 monthly Grubhub credit Company rewards and recognition program And more! We empower ownership - We all contribute to our success and we all share in it. Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company's growth and accomplishments. We promote work-life balance - We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. Look out for our wellness initiatives and ask about our Flex-Time Policy! We support growth - We encourage you to embrace continuous learning and take on new challenges. In an exciting and evolving industry, we provide opportunities for career growth through our annual merit and bonus opportunities, hands-on training, diversity and inclusion initiatives, internal mobility options, and professional development budget. We give back - We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee-nominated contributions, support for non-profit organizations, Volunteer Paid Time Off, and more. We listen - We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day. Check us out and learn more at ! Additional Details: Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations. Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse may sponsor applicants for work visas in limited situations. is an Equal Opportunity Employer, strongly values inclusion, and encourages individuals of all backgrounds and experiences to apply for this position. To ensure fairness and trust in our hiring process, we ask that all application materials, assessments, and interview responses reflect your own thinking and perspective. You may use AI tools to assist in preparing your responses, as long as this use is clearly disclosed and you can speak authentically to your ideas and work. Our focus is on honesty, judgment, and how you approach problem-solving. We appreciate your transparency and look forward to learning more about your skills. We are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations. All emails from the SupplyHouse team will only be sent from email address. Please exercise caution if you receive an email from an alternate domain.

Job Title: Senior Software Engineer Location: Malvern, PA Pay: Competitive Salary Job Responsibilities: Acts as the technical coach for a team or domain, being recognized and approached by team members for expertise and guidance, ensures consistent application of best practices and high standards across projects. Sets quality goals and development practices with the team, driving continuous improvement and excellence in software development through rigorous standards and methodologies. Integrates software components and third-party libraries into existing systems, ensuring seamless functionality and interoperability with minimal disruption. Conducts and participates in code reviews, providing constructive feedback to peers and ensuring adherence to coding standards and best practices to maintain code quality. Analyzes and optimizes application performance, identifying and resolving bottlenecks to enhance user experience and system efficiency, ensuring the software meets performance benchmarks. Stays current with emerging technologies and industry trends, incorporating new tools and methodologies to improve development processes and product quality. Develops software to log and store performance data, usage, errors, etc., enabling continuous monitoring of solutions and products for improved reliability and performance. Collaborates with cross-functional teams, including product managers, designers, and QA engineers, to define, design, and ship new features, ensuring alignment with project goals and user needs. Resolves a wide range of moderate complexity requests in creative ways, demonstrating good judgment in selecting methods and techniques for obtaining solutions. Key Responsibilities: Design, develop, and maintain Java-based microservices using Spring Boot and Java 17. Lead and contribute to secure coding practices following OWASP standards and regulatory needs (HIPAA, medical device software). Integrate with internal and external APIs using REST and GraphQL. Participate in Test-Driven Development (TDD) and help expand test automation coverage. Implement and support CI/CD pipelines using GitHub Actions and Jenkins. Build and deploy services to AWS EKS; leverage AWS services such as Cognito, CloudWatch, Secrets Manager, and X-Ray. Collaborate with DevOps, QA, and Product teams using Azure DevOps for sprint planning, work tracking, and test plans. Perform code reviews and mentor junior developers. Support observability efforts using tools like Datadog, Prometheus, and Grafana. Work within Agile teams to deliver features aligned with business objectives. Contribute to continuous improvement, architectural decisions, and design discussions. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 5 years of hands-on experience in Java (17) and Spring Boot application development. Solid understanding of microservices architecture and secure RESTful API design. Strong experience with Git, Maven, Jenkins, and GitHub Actions. Proficiency in CI/CD and test automation. Experience working in cloud environments, especially AWS. Familiarity with containerization (Docker, EKS/Kubernetes). Excellent debugging, troubleshooting, and code review skills. Comfortable using Azure DevOps for Boards, Test Plans, and documentation. Minimum Required Education: Bachelor's / Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent. Master's Degree in Information Technology, Computer Science, Software Engineering or equivalent. Preferred Skills & Tools: Test Automation: JUnit, TestNG, Mockito, Selenium, Cypress, Karate, Rest Assured. API Design: Swagger/OpenAPI, SpringDoc, GraphQL, AWS API Gateway. Messaging & Integration: RabbitMQ, Spring Cloud Stream, Feign, WebClient, Retrofit. Monitoring & Observability: Datadog, Prometheus, Grafana, AWS CloudWatch, X-Ray, ELK/EFK stack. Build & Infra: Maven, Terraform, AWS CDK, Docker, Nexus or Artifactory. Agile & SDLC: Azure DevOps Boards, Jama, Helix ALM, Confluence, Miro.

Job ID: 709709BR Date posted: Nov. 04, 2025 Description: Who We Are: Want to work with cutting-edge technologies in a fun, fast-paced, and dynamic environment? Are you a problem solver that takes on challenges that others think are impossible? If you answered yes to these questions, then we invite you to join Lockheed Martin Rotary and Missions Systems (RMS) as a Senior Software Engineer! Lockheed Martin is a global leader in aerospace, defense, and technology solutions. You will be joining Lockheed Martin Rotary and Mission Systems About Rotary and Mission Systems Our team in Warfighter Solutions consists of a variety of engineering disciplines that work together to execute design, development, integration and test of systems and have expertise in Software Defined Radios (SDR), digital signal processing (DSP), GNSS constellation simulation, and signal transceivers. Our team members build strong relationships with one another, founded on trust, open communication, and a sense of camaraderie. This leads to a positive and productive work culture, where team members feel valued, supported, and motivated to contribute to the team's success. We embody the Lockheed Martin core values. Learn more about our Culture here Who You Are: You thrive in a collaborative, multidisciplinary engineering environment and are committed to delivering best-in-class products and solutions. You have an innovative mindset, and capable of finding solutions to complex engineering challenges. You have a Bachelors degree from an accredited college in a related discipline, with 5 years of professional experience, a Masters degree with over 3 years of experience, or equivalent experience/combined education. You currently hold a Top Secret clearance. The Work: • As a Software Engineer for Warfighter Solutions, you can help us take on the world's most important and complex challenges by providing solutions to a variety of technical problems. We provide tactical based solutions which specialize in software defined radio, digital signal processing, constellation simulation, and command and control software in order to support our customers' dynamic needs in supporting the warfighter. • Integrate open and modular hardware and software components in the field of Radio Frequency (RF) systems • Develop software required to support integration and control of waveform processing applications • Supporting Integration & Test (I&T) to troubleshoot and resolve software defects, performance issues, and integration challenges. • Work closely with system engineers to ensure that software development aligns with overall system architecture and requirements, and that testing and validation processes are comprehensive and effective. • Support current software architecture which includes C++, Linux scripting and Qt GUI development utilizing git for CM control. • Engage in daily scrum and other weekly agile meetings • Work closely with the Product Owner, Software Architect, and Chief Engineer to support Customer design reviews and various other milestone events. Why Work For Us: Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. Basic Qualifications: • Security Clearance required prior to start: Top Secret • Experience developing full stack software using Object Oriented Programming • Knowledge of modern DevSecOps tools and practices, including Gitlab CI/CD • Proficiency in developing automated unit, integration, and end-to-end tests • Experience working with Linux OS, including basic system administration (emphasis on RHEL) • Desire and ability to quickly learn unfamiliar technologies and domains in a rapid paced, Agile development environment Desired Skills: • Experience with C++ Software development • Experience with Linux operating system • Experience with software configuration management (e.g. GIT, Jira, Confluence, etc.) • Experience in Full Stack Development • Experience developing mock (stub) interfaces for system testing • Experience in Hardware test and integration • Experience decomposing requirements / features • Effective oral and written communication skills • Methodical approach to problem solving • Working knowledge of Digital Signal Processing (DSP) concepts, software-defined radio (SDR) frameworks, and real-time systems that include a mixture of firmware, embedded, and traditional software applications • Experience in the Radio Frequency (RF) • Experience working with distributed development teams in an agile development environment • Ability/willingness to travel for test events Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Top Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Software Engineering Type: Full-Time Shift: First

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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 Lead Software Engineer, Back End (Java, Spring, AWS, OCP, Postgres, Oracle, CICD, Automate Testing via Pipelines, Jenkins, GitHub) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 6 years of professional software engineering experience (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 3+ years of experience with AWS, GCP, Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices 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. Chicago, IL: $204,900 - $233,800 for Sr. Lead Software Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead Software Engineer Riverwoods, IL: $204,900 - $233,800 for Sr. Lead Software 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 Lead Software Engineer, Full Stack - Card Tech Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 6 years of professional software engineering experience (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 3+ years of experience with AWS, GCP, Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Software Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Software 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).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Software Engineer (Java, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 4 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Riverwoods, IL: $175,800 - $200,700 for Lead Software Engineer McLean, VA: $193,400 - $220,700 for Lead Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Software Engineer (Java, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 4 years of experience in software engineering (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Riverwoods, IL: $175,800 - $200,700 for Lead Software Engineer McLean, VA: $193,400 - $220,700 for Lead Software 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).

Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science 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 Lead Software Engineer, Back End (Java, Spring, AWS, OCP, Postgres, Oracle, CICD, Automate Testing via Pipelines, Jenkins, GitHub) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 6 years of professional software engineering experience (Internship experience does not apply) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 3+ years of experience with AWS, GCP, Azure, or another cloud service 4+ years of experience in open source frameworks 1+ years of people management experience 2+ years of experience in Agile practices 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. Chicago, IL: $204,900 - $233,800 for Sr. Lead Software Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead Software Engineer Riverwoods, IL: $204,900 - $233,800 for Sr. Lead Software 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).