# Staff Full-Stack Engineer at Capital One

AI Level 1, AI centrality 14 out of 100. Chicago, IL.

## Details

- Company: [Capital One](https://jobsbylevel.com/companies/capital-one)
- AI level: AI Level 1 (score 14 out of 100)
- Location: Chicago, IL
- Posted: October 7, 2026
- Apply: https://jobsbylevel.com/go/0ebbb45b-24d8-4b03-9d6d-ed342826ac74

## Description

Staff Full-Stack Engineer 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. The Global Payment Network (GPN) Digital Payments Technology organization designs, builds, and operates the mission-critical systems and infrastructure that seamlessly power complex money movement across domestic and international rails. We build and operate a high-volume, low-latency, and highly resilient distributed ecosystem that is simultaneously secure, performant, accurate, and nimble. The Digital Payments team provides a tokenization platform that is critical in enabling secure commerce both online and with devices including ApplePay and GooglePay. Digital Payments are a rapidly evolving space with constant innovation in how consumers pay. This team operates with a startup mindset backed by enterprise scale. We are 100% cloud-native, deeply committed to engineering excellence, and aggressive in adopting cutting-edge AI tooling (including Claude Code, Windsurf, and custom AI agents) to dramatically accelerate our development lifecycle. You’ll be working hands-on with Senior Lead Engineers that are building the resilient, ultra-low-latency backbone of future global commerce. 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

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Source: https://jobsbylevel.com/jobs/staff-full-stack-engineer-at-capital-one-d69276

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