Senior Cloud Engineer: AI‑Driven, Scalable Cloud Platform

Capital One

San Jose (CA)

On-site

USD 251,000 - 286,000

Full time

12 days ago
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Job summary

Capital One is seeking a seasoned Cloud Engineer 5 to join our team in a fast-paced, collaborative setting. You will lead adoption of AI-driven automation, guide multi-team cloud initiatives, and mentor engineers while shaping platform architecture for scalable, compliant cloud systems.

The role requires advanced cloud engineering experience, strong coding skills across Java/Scala/Python/Go/Node.js, and deep knowledge of container orchestration with Docker and Kubernetes.

Qualifications

  • Bachelor's degree or higher in Computer Science or related quantitative field.
  • At least 7 years of experience in software engineering.
  • At least 2 years of experience in cloud engineering.
  • 8+ years of coding experience across Java, Scala, Python, Go, or Node.js.
  • 4+ years of experience with public cloud platforms (AWS, GCP, Azure, OCI).

Responsibilities

  • Lead the adoption and responsible use of emerging AI and automation to improve cloud platforms and workflows.
  • Lead a portfolio of projects and a team of developers to meet regulatory needs.
  • Mentor other members of the engineering community and stay current with tech trends.
  • Collaborate with product managers to deliver robust cloud-based solutions for millions of users.
  • Define platform roadmaps and shared services strategy; drive end-to-end design of scalable systems.

Skills

Cloud leadership
Mentoring
Strategic thinking
Regulatory awareness

Education

Bachelor's degree in CS or related field
Master's degree preferred

Tools

Docker
Kubernetes
Terraform
CloudFormation
Pulumi
OPA

Job description

Capital One is seeking a seasoned Cloud Engineer 5 to join our team in a fast-paced, collaborative setting. You will lead adoption of AI-driven automation, guide multi-team cloud initiatives, and mentor engineers while shaping platform architecture for scalable, compliant cloud systems.

The role requires advanced cloud engineering experience, strong coding skills across Java/Scala/Python/Go/Node.js, and deep knowledge of container orchestration with Docker and Kubernetes.

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