Senior Full-Stack Engineer - Cloud, AI & Resilience

Capital One

Richmond (VA)

On-site

USD 209,000 - 239,000

Full time

10 days ago
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Job summary

Capital One is seeking a Full-Stack Engineer 5 with Java and Python expertise to join the Cloud Operations Resilience Engineering team in Richmond, VA. You will drive end-to-end cloud-native solutions, mentor engineers, and shape platform roadmaps across multiple teams.

The role emphasizes strong experience with containers, AWS, modern AI-assisted tooling, and a track record delivering reliable, scalable systems in a regulated environment.

Qualifications

  • Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
  • At least 6 years of experience in software engineering
  • At least 3 years of experience with public cloud platforms (AWS, GCP, Azure) or virtualization technologies

Responsibilities

  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems
  • Mentor engineers and participate in internal/external tech communities
  • Deliver robust cloud-based solutions that drive experiences for millions of Americans
  • Utilize Java, Python, Open Source RDBMS/NoSQL databases, Docker and Kubernetes, and AWS tools
  • Provide technical leadership across teams and shape system architecture and long-term direction
  • Drive end-to-end design and implementation of large-scale cloud-native systems

Skills

Java
Python
SRE
AWS
AI
Full-stack
Distributed systems

Education

Bachelor’s Degree in Computer Science or related field

Tools

Docker
Kubernetes
AWS
Cloud platforms

Job description

Capital One is seeking a Full-Stack Engineer 5 with Java and Python expertise to join the Cloud Operations Resilience Engineering team in Richmond, VA. You will drive end-to-end cloud-native solutions, mentor engineers, and shape platform roadmaps across multiple teams.

The role emphasizes strong experience with containers, AWS, modern AI-assisted tooling, and a track record delivering reliable, scalable systems in a regulated environment.

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