Senior Cloud Engineer: Asset Intelligence & AI Platform

Capital One

Richmond (VA)

On-site

USD 286,000 - 327,000

Full time

38 hours ago
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Job summary

Capital One is seeking a Senior Staff Cloud Engineer to lead inventory, intelligence, and insights initiatives across teams. You will drive AI-native solutions enabling enterprise-scale, secure growth and modernization of cloud platforms.

The role emphasizes technical leadership, architecture collaboration, and hands-on engineering across multi-cloud environments, with maturity in high-scale systems and risk management.

Qualifications

  • Bachelor's degree or higher in Computer Science or related quantitative field.
  • 9+ years of software engineering experience.
  • 6+ years in cloud engineering.

Responsibilities

  • Articulate and evangelize a bold technical vision for your domain.
  • Decompose complex problems into practical, operational solutions.
  • Ensure the quality of technical design and implementation.
  • Serve as an expert on performance, scalability, and operability.
  • Continue learning and injecting advanced technical knowledge into the community.
  • Handle several projects simultaneously to maximize impact.
  • Mentor engineers and elevate team skills.
  • Drive modernization of monolithic systems into microservices and event-driven platforms.
  • Collaborate with senior leaders to define long-term platform strategy and API standards.
  • Balance deep hands-on work with mentoring peers.

Skills

Java
Python
Go
Node.js
Scala
Kubernetes
Serverless
APIs
AI tooling

Education

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

Tools

AWS
GCP
Azure
OCI

Job description

Capital One is seeking a Senior Staff Cloud Engineer to lead inventory, intelligence, and insights initiatives across teams. You will drive AI-native solutions enabling enterprise-scale, secure growth and modernization of cloud platforms.

The role emphasizes technical leadership, architecture collaboration, and hands-on engineering across multi-cloud environments, with maturity in high-scale systems and risk management.

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