Staff Full Stack Engineer (Reliability Engineering)

Staff Full Stack Engineer (Reliability Engineering)

As a Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Staff Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while delivering strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next‑generation talent for Capital One Tech, mentoring engineers and actively recruiting to keep building our community.

Staff Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other materials to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

As a Staff Engineer on our Reliability Engineering team, you will build developer‑first platform solutions that transform system resilience from a compliance mandate into an intuitive, desirable standard for every engineer. You will treat our internal platform with the rigor of a competitive commercial product, mastering simplicity and driving out unnecessary complexity at scale. By embedding automated, real‑time measurement directly into our infrastructure, you will prove that deep technical rigor and exceptional ease of use must always coexist.

What You’ll Do:

• Articulate and evangelize a bold technical vision for your domain
• Decompose complex problems into practical and operational solutions
• Ensure the quality of technical design and implementation
• Serve as an authoritative expert on non‑functional system characteristics, such as performance, scalability and operability
• Continue learning and injecting advanced technical knowledge into our community
• Handle several projects simultaneously, balancing your time to maximize impact
• Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know‑how of our engineering and product community
• Drive modernization of monolithic systems into microservice architectures and event‑driven platforms
• Collaborate with senior engineering and architecture leaders to define long‑term platform strategy and API standards
• Serve as a force‑multiplier for the team, balancing deep, hands‑on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers.
• Lead cross‑divisional projects and impacts that promote technological best practices and enhancements

Basic Qualifications:

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 7 years of experience in all of the following: Software engineering and solution architecture
• Enterprise architecture and design patterns
• Cloud computing (AWS, Microsoft Azure, Google Cloud)
• Data architecture

Preferred Qualifications:

• Master's Degree in Computer Science or Software Engineering
• 10+ years of experience in all of the following: Software engineering and solution architecture
• Enterprise architecture and design patterns
• Web technologies (JavaScript, TypeScript and SPA frameworks)
• Designing and building distributed HPC and ML systems
• Cloud computing (AWS, Microsoft Azure, Google Cloud)
• Data architecture
• 10+ years of professional experience coding in commonly used languages like Go, Java, JavaScript/Typescript, Python, Rust, C#, Scala
• 8+ years of experience with database and database management systems
• 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support
• 5+ years of experience with public cloud platforms (AWS GCP Azure), cloud‑based productivity tools, or virtualization technologies
• 10+ years of experience with Networking protocols and integration with third party distributed systems
• 5+ years of experience mentoring senior engineers and driving professional development within technical teams
• 2+ years of experience leading cross‑domain architectural reviews and establishing coding and design standards
• Expertise in the strategic application of agentic AI coding tools to solve systemic