Staff Software Engineer - Cloud, AI Tools & Leadership

Capital One

Chicago (IL)

On-site

USD 245,000 - 279,000

Full time

21 hours ago
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Job summary

Capital One is seeking a Staff Software Engineer in Chicago to lead architectural decisions for loyalty rewards systems and to drive scalable, cloud-based solutions. The role combines hands-on coding with mentorship and cross-functional collaboration with product managers and data teams.

You will influence technical direction, advance engineering excellence, and push for tool-driven delivery using modern AI coding assistants.

Qualifications

  • Bachelor's degree in a related field or equivalent experience.
  • 7+ years in software engineering with system design and hands-on coding.
  • 1+ year using generative AI coding tools to augment software development.
  • 7+ years backend experience (Go, Java, Python, DB design).
  • 7+ years frontend/Web (JavaScript, TypeScript, SPA frameworks).
  • 7+ years designing scalable microservices on cloud platforms (AWS).

Responsibilities

  • Architect software and systems powering loyalty rewards and benefits.
  • Lead quality and engineering excellence across high-traffic systems.
  • Contribute significantly by writing code and mentoring engineers.
  • Leverage AI coding tools to augment delivery and productivity.
  • Collaborate with business partners on scoping and building features.
  • Define and evangelize a bold technical vision for your domain.
  • Decompose complex problems into practical solutions.
  • Ensure high-quality design, architecture, and operability.
  • Influence stakeholders to allocate resources to key initiatives.

Skills

Go
Java
Python
TypeScript
Cloud (AWS)
Microservices
AI coding tools
Leadership

Education

Bachelor's Degree

Tools

Windsurf
Claude Code

Job description

Capital One is seeking a Staff Software Engineer in Chicago to lead architectural decisions for loyalty rewards systems and to drive scalable, cloud-based solutions. The role combines hands-on coding with mentorship and cross-functional collaboration with product managers and data teams.

You will influence technical direction, advance engineering excellence, and push for tool-driven delivery using modern AI coding assistants.

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