23 jobs found

City/State Virginia Beach, VA Work Shift First (Days) Overview: Sentara is hiring for a Senior Data Scientist! This position is fully remote. Overview We are seeking a highly skilled and experienced Data Science ML Operations and Gen AI Engineer (or Senior) to join us and help advance our current and future work applying machine learning, deep learning, and NLP to deliver better healthcare. The Senior Data Scientist will leverage data to improve healthcare outcomes and drive data-driven decision-making. Leveraging expertise in statistical analysis and machine learning, this role will collaborate with cross-functional teams to solve complex healthcare challenges and enhance patient care. This role will directly contribute to advancing medical research, optimizing healthcare processes, and delivering innovative solutions in the healthcare industry. As a Senior ML Engineer on our team, you will play a crucial role in identifying gaps in our existing ML platform and architecting and building solutions to address those gaps. You will also collaborate with the AI team's ML Scientists and our partner data engineering and software development teams to bring ML AND Gen AI models to production and maintain their health and integrity while in production. Your expertise in machine learning and Gen AI, coupled with a strong background in software development, will be instrumental in driving the success of Sentara's AI/ML initiatives. Qualifications: • 5+ years building production software/ML systems, including 1+ years of experience with LLMs/GenAI. • Proficient in Python and one major DL/LLM stack (e.g., PyTorch/Transformers); experience with LangChain/LlamaIndex, vector DBs, and cloud (AWS/Azure/GCP). • Demonstrated delivery of RAG, prompt engineering, evaluation frameworks, and guardrails in production. • Strength in APIs, distributed systems, and ML Ops (K8s, CI/CD, monitoring). • Experience with EPIC health platform is highly preferred • Experience with ML platforms and ML Ops: Demonstrated experience in assessing and improving ML platforms, identifying gaps, and architecting solutions to address them. Strong familiarity with ML platform components such as data ingestion, preprocessing, feature stores, model training, deployment, and monitoring. • Experience with SQL and big data platforms such as Postgres, Redshift and Snowflake • Experience with Agile/Scrum methodology and best practices Preferred: • Previous work experience with Generative AI and ML Ops in healthcare EPIC environment • Understanding of use and implementation of Vector Databases • Kubernetes container orchestration experience Responsibilities • Responsible for design and development of production-grade Machine Learning ops and Gen AI solutions • Lead hands-on delivery of scalable GenAI solutions from problem framing prototyping evaluation production monitoring. • Build internal copilots/assistants (knowledge search, code/content generation) and client-facing products (conversational analytics, summarization, recommendations, workflow automation). • Design RAG pipelines, embedding strategies, vector search, and model orchestration; evaluate fine-tuning vs. prompt engineering. • Implement guardrails, safety filters, prompt/version management, latency/throughput optimizations, and cost controls. • ML platform and ML Ops: Identify areas that require improvements or additional functionalities and use your expertise in machine learning and software engineering to architect and develop solutions that fill gaps in our ML platform and development ecosystem. Analyze system performance, scalability, and reliability to pinpoint opportunities for enhancement. Develop tools and solutions that help the team build, deploy, and monitor AI/ML solutions efficiently. • System scalability and reliability: Optimize the scalability, performance, and reliability and AI Team solutions by implementing best practices and leveraging industry-standard technologies. Collaborate with infrastructure teams to ensure smooth integration and deployment of ML solutions. Design scalable and efficient systems that leverage the power of machine learning for enhanced performance and capabilities. • Data processing and workflow pipelines: Streamline data ingestion, preprocessing, feature engineering, and model training workflows to improve efficiency and reduce latency. Work with data engineering and data platform teams to design and implement robust data pipelines that support the AI team's needs. • Model deployment and monitoring: Evaluate and optimize model prototypes for real-world performance. Work with infrastructure and development teams to integrate ML models into production systems. Work closely with partner teams to communicate and understand technical requirements and challenges. • As part of Sentara's Data Science team you will be responsible for implementation and operationalization of AI/ML models. You will work with other machine learning engineers, data scientists, software engineers and platform engineers to ensure success of the AI/ML implementations. Specific responsibilities will include: • Apply software engineering rigor and best practices to machine learning, including AI/MLOPs, CI/CD, automation, etc. • Take offline models data scientists build and turn them into a real machine learning production system. Education Bachelor's Degree (Required) Certification/Licensure No specific certification or licensure requirements Experience Required to have 5+ years of experience as a Data Scientist with a strong focus on Azure and Microsoft Data Science, AI, and machine learning toolsets. Required to have strong problem-solving skills and the ability to tackle complex healthcare challenges using data-driven approaches. Can help the Data Science infrastructure building up, working with ML Ops team for model implementation, mentoring and developing junior staff. Required to have s trong proficiency in data analysis, data manipulation, and data visualization using Python. Required to have f amiliarity with healthcare-related datasets, medical terminologies, and electronic health records (EHR) data. Required to have knowledge of statistical techniques, hypothesis testing, and experimental design for healthcare research. Required to have s trong machine learning expertise: Proficient in machine learning algorithms, statistical modeling, and data analysis. Hands-on experience with standard ML frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, XGBoost, TensorFlow, or Keras). Required to have solid understanding of data engineering principles, data structures, and algorithms. Proficient in Python and/or other programming languages commonly used in ML development. Required to have experience in technologies, frameworks and architecture like Java or Python, Angular, React, JSON, Application Servers, CI/CD is preferred. Required to have experience with one or more AI automations platforms like Kubeflow pipeline, MLFlow, Azure Pipeline, AWS Sage Maker Pipeline, Airflow, Jenkins, Spark, Hadoop, Kafka, Jira and GIT. We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for full-time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan •Colleagues have the opportunity to earn an annual discretionary bonus ifestablished system and employee eligibility criteria is met. Sentara Health is an equal opportunity employer and prides itself on the diversity and inclusiveness of its close to an almost 30,000-member workforce. Diversity, inclusion, and belonging is a guiding principle of the organization to ensure its workforce reflects the communities it serves. In support of our mission "to improve health every day," this is a tobacco-free environment. For positions that are available as remote work, Sentara Health employs associates in the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

Founding Senior Backend Engineer AI-Powered Healthcare Platform Compensation: $100-200k annually + Equity Location: San Francisco, CA (Hybrid, 3 days in office) Who Are We? We're an early-stage startup building a next-gen, AI-driven healthcare system designed to eliminate friction in patient care from scheduling and billing to provider communication and operational efficiency. Backed by top-tier investors, were a small, high-output team tackling one of the most complex and important industries on the planet. You'll work directly with the founding team to define the product, tech, and trajectory. What's In It For You? Ownership: Youll own the backend architecture of a platform serving thousands of patients. Impact: We're using AI to improve real people's healthcare experiences at scalethis isn't theoretical. Speed: No red tape. You ship fast, iterate faster, and your work goes live in days, not quarters. Tech Frontier: Build AI-first systems with LLMs, real-time event processing, and bleeding-edge infra. Team: Work with a group of builders whove led at YC startups, top-tier tech firms, and high-growth unicorns. Mission: Help fix a broken system by building one that actually works. What Will You Do? Architect and implement an event-driven backend using Node.js, Supabase (Postgres), and AWS. Build real-time patient/provider workflows powered by AIthink dynamic scheduling, intake, and automation. Design event pipelines to process structured operational data like call transcripts and metadata. Ensure availability, security, and HIPAA compliance across a high-throughput system. Collaborate cross-functionally with AI and frontend teams to deliver a seamless care experience. What Will You Need? 5+ years of backend engineering experience using Node.js, TypeScript, and PostgreSQL. Deep experience with event-driven systems and real-time data processing (Kafka, RabbitMQ, webhooks). Strong grasp of distributed system architecture and messaging infrastructure. Bonus points if you've worked with LLMs or in AI-integrated environments. Security-forward mindset experience in HIPAA or other regulated industries is a huge plus. High-velocity mindset ideally from YC startups, FAANG, or similarly fast-paced environments. Signs of technical depth: open-source contributions, fast career growth, or math/CS accolades (e.g., Olympiad, MIT/Harvard CS). You're comfortable in chaos, allergic to bureaucracy, and thrive with autonomy.

Founding Senior Backend Engineer AI-Powered Healthcare Platform Compensation: $100-200k annually + Equity Location: San Francisco, CA (Hybrid, 3 days in office) Who Are We? We're an early-stage startup building a next-gen, AI-driven healthcare system designed to eliminate friction in patient care from scheduling and billing to provider communication and operational efficiency. Backed by top-tier investors, were a small, high-output team tackling one of the most complex and important industries on the planet. You'll work directly with the founding team to define the product, tech, and trajectory. What's In It For You? Ownership: Youll own the backend architecture of a platform serving thousands of patients. Impact: We're using AI to improve real people's healthcare experiences at scalethis isn't theoretical. Speed: No red tape. You ship fast, iterate faster, and your work goes live in days, not quarters. Tech Frontier: Build AI-first systems with LLMs, real-time event processing, and bleeding-edge infra. Team: Work with a group of builders whove led at YC startups, top-tier tech firms, and high-growth unicorns. Mission: Help fix a broken system by building one that actually works. What Will You Do? Architect and implement an event-driven backend using Node.js, Supabase (Postgres), and AWS. Build real-time patient/provider workflows powered by AIthink dynamic scheduling, intake, and automation. Design event pipelines to process structured operational data like call transcripts and metadata. Ensure availability, security, and HIPAA compliance across a high-throughput system. Collaborate cross-functionally with AI and frontend teams to deliver a seamless care experience. What Will You Need? 5+ years of backend engineering experience using Node.js, TypeScript, and PostgreSQL. Deep experience with event-driven systems and real-time data processing (Kafka, RabbitMQ, webhooks). Strong grasp of distributed system architecture and messaging infrastructure. Bonus points if you've worked with LLMs or in AI-integrated environments. Security-forward mindset experience in HIPAA or other regulated industries is a huge plus. High-velocity mindset ideally from YC startups, FAANG, or similarly fast-paced environments. Signs of technical depth: open-source contributions, fast career growth, or math/CS accolades (e.g., Olympiad, MIT/Harvard CS). You're comfortable in chaos, allergic to bureaucracy, and thrive with autonomy.

Senior Data Scientist, Wharton Graduate Division University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist - Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and Global Wharton MBA programs. Reporting to the Director of Data Science, this role is instrumental in advancing analytics-driven solutions that enhance the student experience and improve office productivity. This position will lead the enhancement, maintenance, and expansion of Wharton's Course Match registration system-Wharton's MBA registration system that allocates course schedule. As a technically advanced implementation of modern mechanism design, Course Match is central to the MBA academic experience and requires continued refinement and innovation. The Senior Data Scientist will contribute directly to its algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness, scalability, and alignment with institutional practices, policies, and priorities. Beyond Course Match, the Senior Data Scientist will contribute to a broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major focus will be building reusable, scalable, and automated Python-based solutions that enable long-term innovation within the MBA Program Office and Wharton Computing. The ideal candidate brings a strong background in algorithmic systems and applied data science, with a demonstrated ability to manage complex technical projects from ideation through deployment. They will be adept at translating technical insights for diverse audiences, fostering cross-functional collaboration, and providing mentorship and thought leadership to colleagues. Outstanding communication skills and a highly collaborative mindset are essential. This role is a two-year appointment, with the potential for continuation. Job Description Duties Lead development and ownership of Course Match Serve as the primary developer and systems owner for Course Match registration system, including algorithm and infrastructure integration. Algorithmic and performance refinement Design and implement enhancements to Course Match's algorithmic infrastructure, including optimization tuning, performance analysis, heuristic development (e.g., Tabu Search), mixed-integer programming (MIP), and system diagnostics. Internal and external collaboration and system integration Partner with internal stakeholders and external vendors to support the integration of a new optimization engine. Participate in vendor evaluation, architecture planning, and system design discussions to ensure successful deployment and infrastructure integration. Data science project contributions beyond Course Match Contribute to high-impact academic affairs and data science initiatives beyond Course Match, including AI integration, process automation, and machine learning. Build robust Python-based solutions that promote reusability, automation, and scalability. Infrastructure development and automation Develop and maintain analytics infrastructure and automation pipelines to support data workflows across the MBA Program Office and Wharton Computing. Apply best practices in software development, testing, and version control. Qualifications Master's degree and 1-2 years of experience in a quantitative field such as Engineering, Data Science, Computer Science, Operations Research, Mathematics, or a related discipline is required; however, a Master's degree and at least 5 years of relevant experience is strongly preferred. Strong programming proficiency in Python is required, including experience developing modular, well-documented, and production-grade code. Familiarity with version control systems (e.g., Git) and test-driven development is strongly preferred. Demonstrated expertise in algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer programming (MIP), or algorithmic market design. Experience working within multi-component software environments and integrating external libraries, APIs, or platforms. Familiarity with systems integration and data engineering practices is preferred. Experience supporting or participating in vendor evaluations or third-party system integrations is strongly preferred. Ability to engage with external vendors on technical system design, performance review, and implementation. Applied experience with core data science methods, including statistical modeling, predictive analytics, and machine learning. Proficiency with tools such as R, SQL, and Power BI is a plus. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $100,000.00 - $140,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired . click apply for full job details

The Executive Director of Business Intelligence, Data Platforms, and Applied AI is a senior IT leader responsible for defining, developing, and executing Excelsior University's enterprise data strategy. This encompasses data architecture, integration frameworks, business intelligence platforms, and applied AI capabilities, ensuring alignment with institutional goals, regulatory requirements, and the University's evolving needs. In partnership with senior leadership and key institutional stakeholders and through close collaboration with the Analytics & Data Science (ADS) team, this role contributes to the broader enterprise data strategy from both technical and business perspectives. The Executive Director oversees the Business Intelligence (BI) team to deliver comprehensive data services across the University, enabling data-driven decision-making, operational performance tracking, and innovation. A central focus of the role is designing and maintaining a modern, secure, and scalable data-as-a-service environment. The Executive Director also plays a critical role in institutional initiatives such as the implementation of Banner SaaS by ensuring technical data readiness, integration, and sustainable reporting capabilities. Additionally, this position oversees the deployment of AI-driven solutions across the institution, ensuring alignment with foundational IT systems, data governance practices, and ethical AI use in support of institutional priorities. Duties and Responsibilities: Lead the definition, development, and execution of the University's enterprise data strategy, aligning data architecture, platforms, and AI capabilities with the institution's digital transformation and operational goals. Collaborate with institutional leaders and stakeholders to contribute to the broader enterprise business strategy, ensuring that data services meet evolving academic, administrative, and business needs. Oversee the delivery of enterprise-wide BI services-including reporting, dashboards, and analytics-that empower data-informed decision-making across all divisions. Design and maintain a secure, scalable data-as-a-service platform to support operational and advanced analytics needs. Ensure reliable integration and performance of reporting solutions tied to key enterprise systems such as Banner SaaS and Salesforce.Provide strategic technical leadership in system integration, API development, and data pipeline architecture. Partner closely with the Analytics & Data Science (ADS) team to support complex analytical workloads, advanced modeling, and AI enablement. Lead the adoption and governance of applied AI solutions institution-wide, ensuring infrastructure and policies support responsible and effective innovation. Establish and champion data governance frameworks that uphold data quality, security, compliance, and accessibility. Monitor emerging trends in data platforms, BI, AI, and integration technologies to continuously refine the data strategy and ensure institutional agility. Foster a collaborative, high-performing team culture committed to service excellence and continuous improvement. Minimum qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (Master's degree preferred). 10+ years of experience in business intelligence, data engineering, or enterprise data management, including 5+ years in a leadership role with strategic responsibilities. Exceptional strategic and operational leadership, with excellent communication and stakeholder management skills that bridge technical and business perspectives. Proven success in defining and executing technical data strategies and delivering scalable BI solutions in complex environments. Expertise in enterprise system integration, APIs, middleware, and cloud-native data platforms. Experience in Microsoft Fabric is highly desirable. Experience with SaaS enterprise systems (e.g., Ellucian Banner, Salesforce) and enabling their reporting & analytics and AI functionalities through secure integration is highly desirable. Knowledge of applied AI/ML technologies, including embedded and standalone capabilities integrated into enterprise data ecosystems. Strong understanding of data governance and compliance frameworks, ideally within higher education. Prior experience in higher education or similar data-intensive, complex organizations is highly desirable. The hiring salary range for this position is $120,000.00 - $130,000.00. The hiring salary range above represents the University's good faith estimate at the time of posting. Application Information If you have problems with online submission, please call . Excelsior University offers competitive compensation and a generous benefits package that includes paid time off, retirement, and excellent health insurance. Interested candidates should submit a letter of application, resume, and the names of three professional references. Please submit requested information by clicking the Apply Now button on this page. Excelsior University is an equal opportunity employer committed to ensuring all qualified applicants receive consideration for employment without regard to any legally protected characteristic. AA/EOE/ADA Excelsior University is an equal opportunity employer committed to ensuring all qualified applicants receive consideration for employment without regard to any legally protected characteristic.

Systems Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Nov 17, 2025 Post Date 107744 Requisition # Endpoint Engineering and Development is seeking a Systems Engineer to join us on a mission to elevate the experience of our systems and enrich the lives of the Stanford University community. In this position, you will: Achieve outstanding results in support of our mission while modeling the team's values. Bring Jamf and Microsoft Endpoint Manager (Intune/SCCM/MECM) to Stanford. Partner with developers and engineers to define and execute strategy on complex projects from single tasks to sophisticated implementations. Perform server migrations and cloud administration (GCP/AWS) in support of endpoint management operations. Present to different audiences, from end-users to senior leadership, on the status of endpoint management projects. About EED Endpoint Engineering and Development (EED) provides a portfolio of products and services that solve problems and build experience. EED offers software development, systems engineering, and product management. EED is part of University Information Technology (UIT), a 700-person strong organization supporting 100+ services. EED takes pride in bringing desktop and mobile solutions to Stanford because supporting a world-class university's research and education mission can positively impact the world. We're incredibly excited to bring new endpoint management systems and software to Stanford. Core duties include : Build, install, configure, analyze, tune, and troubleshoot the operating system to achieve optimum performance. Resolve complex system problems and provide consultation or training. Configure and assist in the design of systems and network security. Manage hardware, software, and utilities for installation, modification, troubleshooting, maintenance, and upgrade operating systems and workstation environments. Compare, evaluate, and implement new technologies and integrate systems into the computing environment. Document systems infrastructure for users, support and consulting personnel, and developers. Train personnel who provide support and consulting services to users. Act as liaison with various departments across campus. Facilitate vendor relationships. Management of Apple Developer Console and Google Play Console. Minimum requirements Education & Experience : Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills, and Abilities : Experience with implementation, configuration, support, design, and planning of Jamf and Microsoft Endpoint Manager (Intune/SCCM/MECM) rollouts to an enterprise organization. Knowledge of macOS and Windows environments, including hardware and software, at an advanced level. Proficient in one or more modern, general-purpose scripting languages (ex: PowerShell, Python, Bash). Experience with basic troubleshooting and network concepts with a fundamental understanding of network environments. Understanding of Microsoft Azure, Microsoft Intune, Azure Active Directory. Mid to advanced knowledge of security concepts and best practices. Experience using ticketing systems such as JIRA and ServiceNow to provide excellent customer support. Ability to work well independently and as a team member. Ability to train others in applications and system fundamentals. Experience with middleware and infrastructure. Experience with build automation, continuous integration, or continuous deployment tools is a bonus. The expected pay range for this position is $127,716 to $147,437 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. Why Stanford is for you : Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow . We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture . We provide superb retirement plans, generous time-off, and family care resources. A healthier you . Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun . Stroll through historic sculptures, trails, and museums. Enviable resources . Enjoy free commuter programs, ridesharing incentives, discounts and more! How to Apply Interested? We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, please submit your résumé and a cover letter along with your online application. 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. This position may be eligible for full-time remote work from any location in the U.S., with periodic visits to campus once travel restrictions are lifted. Additional Information Schedule: Full-time Job Code: 4832 Employee Status: Regular Grade: I Requisition ID: 107744 Work Arrangement : Hybrid Eligible

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

Job Overview: Architecture & Design Support Support the definition of system and data integration architecture for eCommerce platforms and enterprise systems. Contribute to solution design documents, data flow diagrams, interface specifications, and integration standards. Work with senior architects to evaluate design options and ensure alignment with overall platform strategy. Data Engineering & Integrations Help design and implement data pipelines supporting analytics, tagging, customer data, product information, inventory, orders, and other commerce workflows. Configure and maintain integration patterns such as APIs, streaming, webhooks, batch jobs, and middleware workflows. Participate in building data models, schemas, and event structures that support digital commerce operations. Assist in maintaining data quality, monitoring, governance, and synchronization across systems. Help design and implement data visualization using BI tools such as Microsoft Power BI , Tableau etc. Implementation & Delivery Collaborate with engineering teams to translate integration requirements into technical tasks. Support testing, debugging, and validation of integrations across upstream and downstream systems. Contribute to documentation and knowledge sharing within the team. Ensure solutions meet requirements for security, reliability, observability, and performance. Cross-Functional Collaboration Work closely with product managers, analytics teams, marketing, operations, and customer experience teams to understand data and integration needs. Help clarify data requirements and ensure correct flow of customer, product, and transaction information. Communicate technical concepts clearly to both technical and business partners. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Total Rewards: Salary Range: $71,000 - $115,500 Actual placement within the compensation range may vary depending on experience, skills, and other factors Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Annual bonus based on performance and eligibility It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Requirements: 4-7 years of experience in solution architecture, data engineering, systems integration, or similar roles. Strong understanding of eCommerce ecosystems and how data flows between CRM, CDP, ERP, OMS, PIM, tagging/analytics, and marketing platforms. Experience building or supporting API integrations and event-driven workflows. Working knowledge of data modeling, ETL/ELT pipelines, and cloud-based data infrastructure. Familiarity with digital tagging, analytics measurement, and customer data capture. Strong technical documentation, communication, and problem-solving skills. Ability to work collaboratively within a cross-functional team environment. Preferred Qualifications Experience contributing to large-scale digital commerce or replatforming initiatives. Exposure to headless or composable commerce concepts. Some familiarity with DevOps practices, CI/CD, and cloud-based integration tooling. Understanding of data privacy and compliance considerations (GDPR, CCPA). Relevant industry ceritifications such as Microsoft Azure, AWS, Google Cloud or equivalent Company Overview: Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partner brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the single-serve coffee brewing system in North America at KDP, and we have fun doing it! Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation, and growth. Will you join us? We strive to be an employer of choice, providing a culture and opportunities that empower our team of 29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. Please include the job title and location or Job ID # in the email subject line.

Job Summary The Director Enterprise Infrastructure is a senior technology leader accountable for the strategy, delivery, and continual improvement of enterprise infrastructure services and the global Service Desk. This role owns the infrastructure product portfolio (e.g., network, compute, storage, identity, endpoint, collaboration, and core platforms) and ITSM tooling (e.g., Service Management platform, knowledge, CMDB/asset, automation). The director's mandate is to improve service delivery to peer IT teams (Architecture, Security, Applications, Data, and Business Technology) and to ensure the Service Desk is modern, omnichannel, and consistently exceeding customer expectations-for both internal associates and external customers/partners. Job Description MAJOR RESPONSIBILITIES Define the multi year infrastructure services and platform strategy, aligning to enterprise objectives, budgets, risk posture, and architecture standards; translate strategy into a quarterly roadmap with measurable outcomes and published scorecards. Build and lead high performing teams across Service Desk, Infrastructure Product Management/Engineering, and ITSM Tooling & Process; develop leader bench strength and succession plans. Establish a culture of operational excellence, data driven decision making, SRE/ITIL practices, and customer empathy; champion diversity, inclusion, and talent development. Own the product lifecycle (vision, roadmaps, backlogs, SLOs/SLAs, cost models) for core infrastructure products (network, compute, storage, identity, endpoint, collaboration, platform services). Drive standardization, reliability, security, and cost efficiency. Lead a modern, omnichannel Service Desk (portal, chat/virtual agent, voice, walk up) with shift left and knowledge centered service (KCS) to maximize first contact resolution and self service adoption. Define and manage XLAs (experience level agreements) alongside SLAs to capture customer sentiment, journey friction, and outcome quality; publish transparent dashboards. Integrate Service Desk with observability/AIOps and problem management to shrink MTTR, reduce repeat incidents, and prevent recurrences Ensure an accurate, auditable CMDB/asset with service mapping that supports impact analysis, DR/runbooks, and control/compliance needs Own budgets, forecasts, and run rate transparency for infrastructure services; optimize total cost of ownership through consumption management, capacity planning, and contract negotiations. Establish outcome based vendor scorecards aligned to SLOs/XLAs and continuous improvement targets. Global Scope: Cross time zone collaboration; occasional after hours releases for infrastructure changes; periodic travel to major sites, data centers, and vendor engagements. MINIMUM JOB REQUIREMENTS Education Bachelor's in Computer Science, Information Systems, Engineering, or equivalent experience. Work Experience 5+ years in infrastructure operations or related role 3+ years managing multi-disciplinary teams Knowledge / Skills / Abilities Expertise in ITSM practices, operational excellence, and modern platform engineering (Infrastructure as code, configuration/policy as code, pipelines). Strong command of service metrics and financial management (TCO, forecasting, show back/chargeback). Customer obsessed service mindset with proven use of Experience Level Agreement (XLA) alongside SLAs; ability to translate customer journey pain points into platform and process changes. ITSM product ownership: service catalog design, request workflows, automation/orchestration, knowledge management, incident/major incident governance, problem/change excellence, and asset/CMDB health metrics. Data driven ops: build and publish operational scorecards (availability, change success rate, patch/compliance, cost per ticket, contact rate, backlog health) and OKR alignment for peer IT teams. AI for ITSM literacy and self service design to reduce live contact while elevating experience. Change leadership: org design, talent development, building a manager of managers bench, and fostering a culture of blameless post incident learning. Communication & executive presence: crisp incident/executive communications, storytelling with metrics, and stakeholder management across Architecture, Security, Applications, Data, and Business Technology. Vendor management, contract negotiation, and license optimization experience. Excellent leadership, communication, and stakeholder management across executive, technical, and frontline audiences. Metric-driven mindset and data / analytical tools such as databases and report development. Experience directing both onshore and offshore teams. Basic understanding of financial and revenue models. Strong prioritizing, interpersonal, problem-solving, project management (from conception to completion), & planning skills. Strong verbal and written communication skills. Ability to work in a fast-paced and deadline-oriented environment. Self-motivated with critical attention to detail, deadlines, and reporting. PREFERRED JOB REQUIREMENTS Education Advanced degree in Computer Science or related field Certification / Licensure Azure Fundamentals, ITIL v4 Knowledge / Skills / Abilities Experience managing million-dollar+ annual budget and forecasting activities over several years Experience operating in hybrid cloud environments and driving self service platform adoption at scale. Demonstrated success running internal platforms as products (roadmaps, backlog, service catalog, and stakeholder outcomes. Track record modernizing the Service Desk (omnichannel-phone, chat, portal, virtual agents), shift left, knowledge management; measurable gains in common service desk KPIs: first call resolution, customer satisfaction, etc. Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $175,760.00 - $263,640.00 Annual The actual salary will vary based on applicant's location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here . For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here . Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

Job Overview: Architecture & Design Support Support the definition of system and data integration architecture for eCommerce platforms and enterprise systems. Contribute to solution design documents, data flow diagrams, interface specifications, and integration standards. Work with senior architects to evaluate design options and ensure alignment with overall platform strategy. Data Engineering & Integrations Help design and implement data pipelines supporting analytics, tagging, customer data, product information, inventory, orders, and other commerce workflows. Configure and maintain integration patterns such as APIs, streaming, webhooks, batch jobs, and middleware workflows. Participate in building data models, schemas, and event structures that support digital commerce operations. Assist in maintaining data quality, monitoring, governance, and synchronization across systems. Help design and implement data visualization using BI tools such as Microsoft Power BI , Tableau etc. Implementation & Delivery Collaborate with engineering teams to translate integration requirements into technical tasks. Support testing, debugging, and validation of integrations across upstream and downstream systems. Contribute to documentation and knowledge sharing within the team. Ensure solutions meet requirements for security, reliability, observability, and performance. Cross-Functional Collaboration Work closely with product managers, analytics teams, marketing, operations, and customer experience teams to understand data and integration needs. Help clarify data requirements and ensure correct flow of customer, product, and transaction information. Communicate technical concepts clearly to both technical and business partners. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Total Rewards: Salary Range: $71,000 - $115,500 Actual placement within the compensation range may vary depending on experience, skills, and other factors Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement Annual bonus based on performance and eligibility It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Requirements: 4-7 years of experience in solution architecture, data engineering, systems integration, or similar roles. Strong understanding of eCommerce ecosystems and how data flows between CRM, CDP, ERP, OMS, PIM, tagging/analytics, and marketing platforms. Experience building or supporting API integrations and event-driven workflows. Working knowledge of data modeling, ETL/ELT pipelines, and cloud-based data infrastructure. Familiarity with digital tagging, analytics measurement, and customer data capture. Strong technical documentation, communication, and problem-solving skills. Ability to work collaboratively within a cross-functional team environment. Preferred Qualifications Experience contributing to large-scale digital commerce or replatforming initiatives. Exposure to headless or composable commerce concepts. Some familiarity with DevOps practices, CI/CD, and cloud-based integration tooling. Understanding of data privacy and compliance considerations (GDPR, CCPA). Relevant industry ceritifications such as Microsoft Azure, AWS, Google Cloud or equivalent Company Overview: Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partner brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the single-serve coffee brewing system in North America at KDP, and we have fun doing it! Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation, and growth. Will you join us? We strive to be an employer of choice, providing a culture and opportunities that empower our team of 29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A.I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to in lieu of clicking Apply. Please include the job title and location or Job ID # in the email subject line.

Senior Engineer / Cloud Native / Architecture / Financial Services This Jobot Job is hosted by: Katrina McFillin Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $165,000 - $185,000 per year A bit about us: We provide technology-enabled wealth management platforms and middle- and back-office services to independent financial advisory firms serving high-net-worth and ultra-high-net-worth clients. We help advisors launch and scale independent RIAs through services such as technology and CRM infrastructure, investment and operations support, marketing, practice management, and access to capital and M&A/investment banking capabilities. Why join us? We combine competitive compensation and equity participation with strong benefits, professional development budgets, and recognition as a "Best Places to Work" in the St. Petersburg/Tampa Bay market. In addition, we are a mission-driven, growth-focused environment supporting independent RIAs, with an emphasis on integrity, community involvement, and opportunities to help scale a leading wealth management platform and investment bank dedicated to advisory firms. Premium Health, Dental, and Vision Insurance for you and your family Generous Bonus Unlimited PTO 401(k) + Company Match This is an in-office opportunity in St. Pete Job Details You will be joining a team of engineers to identify, develop, and implement product and technology-based solutions to increase operational efficiency, improve accuracy, and support platform adoption. You are someone who has experience building client-facing end-to-end cloud-native platforms utilizing the Microsoft stack and Azure. You will initially be tasked with evaluating the current platform architecture from a tactical level and determining opportunities for code optimization and improving the overall code base and architecture of the platform. You will then transition into building new features and designing systems, and integrating with the product team to ensure delivery of applications and platform updates. We are looking for a self-starter who is passionate about their craft and wants to continue to improve and build client facing platform in the financial services industry. This is an in-office position in St. Pete, FL. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Engineer In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities. This is a unique opportunity to be the key technical force behind a CEO-visible initiative at the heart of Capital One's long-term risk management strategy. As the senior-most engineer reporting directly to the Senior Director, you will be the lead technical expert for Core Compliance. You will actively participate in and support a fundamental transformation: moving from traditional spot-checking to an "always-on," continuous monitoring ecosystem for our internal processes. You will partner closely with the engineering manager and team responsible for delivery, providing the deep technical guidance to solve their most complex challenges. Furthermore, you will be at the epicenter of our practical application of Generative AI. This team launched Capital One's first production-level GenAI use cases, and has many more in the pipeline. You will not just oversee these rollouts but actively accelerate our adoption, setting the pattern for how we apply these powerful new technologies to solve critical business problems. As a seriously great software engineer, you will contribute by leading from the front, focusing on hands-on technical execution to solve our most complex challenges. You will personally write code, build prototypes, and lead the design for our most critical systems, rotating between leading projects from inception to production and diving into areas of need to get them to the finish line. A core part of your role will be to partner with leadership to drive the technical strategy for our pioneering GenAI work, leading its hands-on implementation. You will use your deep expertise in AWS and our internal infrastructure to relentlessly push us to improve our tooling and delivery speed. In all of this, you will act as a role model and coach, investing deeply in mentoring other engineers and championing our culture. We're looking for a leader with a distinct bias for action and a deep sense of ownership. You are a hands-on technologist who thrives in the trenches and is a pragmatic problem-solver, with a proven ability to translate ambiguous, high-stakes business challenges into concrete, executable technical plans. This technical skill is matched by an obsession with customer and business results, always starting with the user and working backward to deliver measurable impact. Distinguished Engineers are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates. They set the architecture and technical strategy for the domain Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience with application architecture and design patterns At least 5 years of experience with architectural patterns (SOA), building APIs, microservices, event streams, and high throughput systems Preferred Qualifications: Master's Degree in Computer Science or a Master's Degree in Software Engineering 10+ years of experience of working with business leaders on the implications of architectural decisions 4+ years building cloud native architectures, architecting enterprise applications on public cloud platforms and cloud ecosystems (AWS, GCP or Azure) 5+ years experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar 12+ years of experience in software engineering, with focus on designing and implementing enterprise-level systems 10+ years of experience with enterprise architecture, software architecture, and design patterns 3+ years of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Strong proficiency in modern programming languages and data processing frameworks 3+ years of experience with Data strategy, AI and ML Technologies AWS Solution Architect - Professional or Associate Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished 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).