Senior Full-Stack Automation QA Engineer

COMFORT SYSTEMS; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Full-stack Engineer 4 (Automation Quality Engineer) to drive end-to-end testing strategy and build automated test frameworks. You will lead projects across distributed microservices, collaborating with product managers and engineers to deliver robust cloud solutions for millions of users in a fast-paced, inclusive environment.

You’ll mentor engineers, adopt modern AI coding tools, and shape coding standards while advancing performance in distributed systems.

Qualifications

• Bachelor's degree in Computer Science or a related field.
• At least 4 years of experience in software engineering.
• At least 2 years of experience with public cloud platforms (AWS, GCP, Azure).

Responsibilities

• Lead a portfolio of diverse technology projects and a team of developers with distributed microservices and full stack systems.
• Mentor other members of the engineering community and stay updated on tech trends.
• Collaborate with digital product managers and deliver cloud-based solutions for millions of users.
• Utilize Java, Scala, Python, Go, Node.js, JavaScript/TypeScript and AWS tools.
• Provide technical leadership and set standards for design, development, and operational excellence.
• Partner with architects to define service boundaries and reusable frameworks.
• Identify areas for improvement and reduce technical debt and improve performance.
• Influence long-term technology strategy in a 'you build it, you own it' environment.

Skills

Distributed microservices

Full stack systems

Cloud platforms

Leadership

Observability

AI tooling

Mentoring

Education

Bachelor's degree in computer science or related field

Master's degree preferred

Tools

Docker

Kubernetes

Git

CI/CD

Job description

Capital One is seeking a Full-stack Engineer 4 (Automation Quality Engineer) to drive end-to-end testing strategy and build automated test frameworks. You will lead projects across distributed microservices, collaborating with product managers and engineers to deliver robust cloud solutions for millions of users in a fast-paced, inclusive environment.

You’ll mentor engineers, adopt modern AI coding tools, and shape coding standards while advancing performance in distributed systems.