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Capital One

Capital One

www.capitalone.com

117 Jobs

59,278 Employees

About the Company

At Capital One, we're making things better for our customers and associates through innovation and collaboration. We were founded on the belief that everyone deserves financial freedom—and are dedicated to a world where all have equal opportunity to prosper.

Banking is in our DNA, but we are so much more than a bank. We always think about what’s next—and how we can bring our customers the tools needed to improve their financial lives. Your ideas, experiences and skills will help make banking better. You’ll be part of a supportive culture while earning amazing benefits. That’s life at Capital One.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

View our Social Media Community Guidelines https://www.capitalone.com/digital/social-media/

Listed Jobs

Company background Company brand
Company Name
Capital One
Job Title
Senior Director, Software Engineering - Core CI/CD Platforms
Job Description
**Job Title** Senior Director, Software Engineering – Core CI/CD Platforms **Role Summary** Lead the Simple Best in Class Deployments (SBiCD) organization within the One Pipeline (OPL) engineering pillar, owning the enterprise CI/CD ecosystem that serves over 15,000 developers. Drive continuous improvement, modernization, and reliability of the core CI/CD stack (Jenkins, Harness, OAM) while shaping strategy, culture, and operational excellence for distributed, high‑availability systems. **Expectations** - 13+ years in software development with 8+ in Agile practices and 5+ managing large‑scale, mission‑critical production systems. - Proven leadership of distributed engineering teams and a track record of influencing senior enterprise stakeholders. - Ability to translate technical vision into a clear roadmap, balancing velocity and stability while ensuring uptime, low latency, and efficient delivery. **Key Responsibilities** - Partner with Product to co‑define, prioritize, and own the CI/CD roadmap, ensuring alignment with enterprise-wide objectives. - Own the availability, latency, and scalability of the core CI/CD stack; implement engineering practices, reviews, RCAs, and architectural standards to maintain high operational quality. - Lead the modernization of the deployment platform, evaluating and integrating new tools (e.g., OAM, Harness) to replace legacy tooling. - Drive cultural change within the organization, fostering a reliable, collaborative, and customer‑centric engineering environment. - Serve as a trusted advisor to VPs and SVPs, advocating for streamlined, well‑defined development processes across the business. - Mentor and develop engineering managers, encouraging growth and leadership within a distributed team structure. **Required Skills** - Deep understanding of CI/CD concepts, build automation, and deployment pipelines. - Experience with distributed high‑availability systems, monitoring, and incident response. - Proficiency with container orchestration (Kubernetes), cloud infrastructure (AWS, Azure, GCP), and configuration management tools (Chef, Terraform). - Strong strategic thinking, influencing, and communication across technical and non‑technical audiences. - Knowledge of modern streaming and big data technologies is a plus (Hadoop, Spark). **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field. - Optional certifications: AWS Certified Solutions Architect, Certified Kubernetes Administrator, or similar cloud/DevOps credentials.
Mc lean, United states
On site
Senior
01-01-2026
Company background Company brand
Company Name
Capital One
Job Title
Senior Lead AI Engineer (AI Foundations)
Job Description
**Job Title:** Senior Lead AI Engineer (AI Foundations) **Role Summary:** Leads the design, development, and deployment of foundational AI systems, including large language model training, inference, similarity search, and model governance. Works with cross‑functional engineers, research scientists, product and program managers to deliver scalable, responsible AI solutions that improve customer and associate experiences. Provides technical vision, optimizes performance, and mentors engineering teams. **Expectations:** - Demonstrate deep expertise in AI/ML engineering and mathematics. - Translate cutting‑edge research into production‑ready systems. - Drive architectural decisions and long‑term roadmaps for AI infrastructure. - Lead, mentor, and influence engineering and cross‑functional stakeholders. - Communicate complex AI concepts clearly to technical and non‑technical audiences. **Key Responsibilities:** - Design, develop, test, deploy, and support AI software components (foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, observability). - Optimize large‑scale AI systems for scalability, cost, latency, and throughput using state‑of‑the‑art techniques. - Leverage open‑source and SaaS AI technologies (e.g., AWS Ultraclusters, Hugging Face, VectorDBs, NVIDIA NeMo, PyTorch). - Contribute to technical vision and roadmap for foundational AI platforms. - Collaborate with engineers, research scientists, product managers, and program managers to deliver AI‑powered products. - Mentor engineering team members and foster best practices in responsible AI. **Required Skills:** - 6+ years (or 4+ with Master’s) developing AI/ML algorithms and technologies. - Proficient in Python and at least one of Go, Scala, Java, C++, or C#. - Experience building and deploying scalable AI solutions on cloud platforms (AWS, GCP, Azure, or private cloud). - Expertise in LLM inference, similarity search, VectorDBs, AI guardrails, and memory architectures. - Strong background in performance optimization of training/inference pipelines (hardware utilization, latency, throughput, cost). - Ability to read, interpret, and apply AI research papers. - Excellent communication and presentation skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field **and** ≥6 years relevant experience, **or** - Master’s degree in the above fields **and** ≥4 years relevant experience. - No specific certifications required; cloud platform experience preferred.
Fredericksburg, United states
On site
Senior
05-01-2026
Company background Company brand
Company Name
Capital One
Job Title
Lead Software Engineer, Tech Lead (Full Stack)
Job Description
Job Title: Lead Software Engineer, Tech Lead (Full Stack) Role Summary: Lead the design, development, and delivery of full‑stack, cloud‑based applications. Manage a portfolio of projects and a small team of developers, ensuring high quality, scalable solutions that meet regulatory and business requirements. Expectations: - Lead technical direction and engineering best practices for multiple projects. - Mentor and coach developers, fostering a culture of continuous learning and improvement. - Own end‑to‑end delivery from architecture to deployment, collaborating closely with product management and other stakeholders. - Demonstrate expertise in emerging technologies and stay current with industry trends. Key Responsibilities: - Architect, design, and develop microservice‑based web applications using JavaScript/TypeScript, Java, Python, Go, and associated frameworks (React, Angular, Node.js/Express). - Write and maintain unit, integration, and end‑to‑end tests following a test‑driven development (TDD) approach. - Design and manage data storage solutions using relational (SQL) and NoSQL databases, ensuring data integrity and performance. - Deploy and manage containerized workloads with Docker and Kubernetes on AWS, Azure, or GCP. - Implement CI/CD pipelines and infrastructure as code (IaC) for rapid, reliable releases. - Guide Agile ceremonies (sprint planning, retrospectives, backlog grooming) and contribute to continuous improvement. - Mentor junior engineers, conduct code reviews, and promote engineering excellence. - Represent the engineering team in cross‑functional discussions, translating technical concepts to non‑technical stakeholders. Required Skills: - 7+ years in full‑stack development (JavaScript, TypeScript, React, Angular, Node.js, Java, Python, Go). - 3+ years of professional cloud experience (AWS, Azure, or GCP) with hands‑on services (EC2, S3, RDS, DynamoDB, Lambda, ECS/EKS). - 4+ years of experience with open‑source frameworks and libraries. - Proficient in container orchestration (Docker, Kubernetes) and CI/CD tooling (Jenkins, GitHub Actions, GitLab CI, etc.). - Strong knowledge of relational and NoSQL database design and performance tuning. - Experience with Agile/Scrum methodologies and leading small teams. - Excellent communication, collaboration, and problem‑solving skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related field (minimum). - Master’s degree is preferred but not required. - Professional certifications (e.g., AWS Certified Solutions Architect, Certified ScrumMaster) are a plus.
Fredericksburg, United states
On site
Senior
05-01-2026
Company background Company brand
Company Name
Capital One
Job Title
Lead Platform Engineer (Audio Video/Unified Communications)
Job Description
Job title: Lead Platform Engineer (Audio Video/Unified Communications) Role Summary: Lead technical design, implementation, and maintenance of enterprise audio‑visual and Unified Communications platforms. Drive DevOps practices, AI/ML integration, and platform strategy while mentoring a cross‑functional engineering team. Expectations: - Deliver scalable, secure AV/UC solutions aligned with organizational goals. - Own technical vision, roadmap, and governance for platform engineering. - Foster continuous improvement through automation, CI/CD, and infrastructure‑as‑code. - Collaborate with product, security, and vendor partners to translate business needs into robust technical solutions. Key Responsibilities: - Define and enforce AV/UC engineering standards and best practices (code reviews, testing, documentation). - Architect and deploy large‑scale AV/UC systems, integrating emerging AI, ML, and automation technologies. - Lead technical discussions, design reviews, and architectural decisions for platform initiatives. - Mentor team members, raising engineering quality and execution. - Drive DevOps methodology adoption: automate build, test, deployment, and release processes (Jenkins, GitHub, Artifactory). - Implement CI/CD pipelines, infrastructure‑as‑code, and automated configuration management. - Plan, track, and deliver platform engineering projects, managing risks and timelines. - Oversee incident response, root‑cause analysis, and post‑incident reviews to enhance operational reliability. - Define and monitor KPIs for platform health, stability, and performance; generate analytical reports. - Serve as primary liaison with third‑party vendors, managing support, escalation, and feedback loops. - Maintain knowledge base of known issues, troubleshooting guides, and best‑practice documentation. - Conduct technology road‑mapping for hardware, software, cloud, and IoT integration, evaluating beta hardware and new solutions. Required Skills: - Proficiency in build and deployment tools (Jenkins, GitHub Actions, Artifactory). - Strong experience with AWS cloud services (minimum 4 years). - Expertise in DevOps practices for both software and hardware systems at scale. - Deep understanding of enterprise networking, video‑conferencing protocols, and networked device security. - Familiarity with AI/ML concepts for predictive maintenance, scheduling, and UX improvement. - Knowledge of APIs, webhooks, and IoT integration. - Experience with infrastructure‑as‑code (Terraform, CloudFormation, Ansible). - Leadership and mentoring capabilities; proven ability to drive technical strategy and roadmap presentation. Required Education & Certifications: - High School Diploma, GED, or equivalent certification. - Minimum 6 years’ experience with build/deployment tools; 4 years’ AWS experience; 2 years’ team leadership. - Preferred: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. - Relevant certifications (e.g., AWS Certified Solutions Architect, DevOps certifications) are a plus.
Harrisonburg, United states
On site
Senior
05-01-2026