Staff Engineer - AI/Cloud DevOps Leader

Capital One

McLean (VA)

On-site

USD 269,000 - 307,000

Full time

5 hours ago
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Job summary

Capital One is seeking a Staff Engineer in McLean, VA to lead strategy and execution for next‑gen CI/CD pipelines, cloud infrastructure, and AI‑augmented development tooling. You will mentor senior engineers, influence executive stakeholders, and shape enterprise architecture within a highly secure, regulated setting.

You will drive multi‑tenant governance, microservices resiliency, and culture of engineering excellence while partnering with Cyber, Risk, and Leadership to reduce feature lead

Qualifications

  • Bachelor’s degree required; 7+ years in software eng/cloud infra.
  • 5+ years designing CI/CD pipelines & DevOps toolchains.
  • 4+ years containerization with Kubernetes/Docker in cloud-native env.

Responsibilities

  • Architect long-term enterprise roadmap for DevOps, intent-driven cloud infra and CI/CD frameworks.
  • Evaluate and deploy AI-assisted software development tools and secure tooling.
  • Influence executives with ROI and risk frameworks to secure funding and alignment across orgs.
  • Design govern multi-tenant core-skills repositories and enterprise marketplaces with strong security.
  • Oversee scalable, secure microservices in regulated environments.
  • Mentor senior engineers and foster an inclusive engineering culture.

Skills

Leadership
Strategic thinking
Executive communication
Mentoring
DevOps mindset

Education

Bachelor's degree
Master's degree

Tools

Kubernetes
Docker
Terraform
Crossplane
CI/CD tooling

Job description

Capital One is seeking a Staff Engineer in McLean, VA to lead strategy and execution for next‑gen CI/CD pipelines, cloud infrastructure, and AI‑augmented development tooling. You will mentor senior engineers, influence executive stakeholders, and shape enterprise architecture within a highly secure, regulated setting.

You will drive multi‑tenant governance, microservices resiliency, and culture of engineering excellence while partnering with Cyber, Risk, and Leadership to reduce feature lead

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