Lead Full-Stack Engineer, Cloud & Observability

Capital One

Plano (TX)

Hybrid

USD 179,000 - 205,000

Full time

14 days+

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Job summary

Capital One is seeking Full-stack Engineer 4 to lead a portfolio of cloud-native, microservices-driven projects. You will guide a team of engineers, collaborate with product managers, and set architectural direction to build scalable, reliable platforms used by millions.

You will work across the tech stack, employing Java, Scala, Python, Go, Node.js, and TypeScript, with Docker/Kubernetes on AWS. A strong emphasis on observability, automation, and rapid iteration is required.

Qualifications

  • Bachelor's degree or higher in Computer Science or related field.
  • At least 4 years of software engineering experience.
  • At least 2 years of experience with public cloud platforms (AWS, GCP, Azure).
  • Experience with distributed microservices and full-stack systems.

Responsibilities

  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems.
  • Mentor other members of the engineering community and uphold engineering standards.
  • Collaborate with product managers to deliver cloud-based solutions that scale and drive user value.
  • Define service boundaries, integration patterns, and reusable frameworks across teams.

Skills

Distributed systems
Full stack
Cloud platforms
CI/CD
Git workflows

Education

Bachelor's degree in Computer Science or related field
Master’s degree in Computer Science or related field

Tools

Docker
Kubernetes
AWS
CI/CD tools

Job description

Capital One is seeking Full-stack Engineer 4 to lead a portfolio of cloud-native, microservices-driven projects. You will guide a team of engineers, collaborate with product managers, and set architectural direction to build scalable, reliable platforms used by millions.

You will work across the tech stack, employing Java, Scala, Python, Go, Node.js, and TypeScript, with Docker/Kubernetes on AWS. A strong emphasis on observability, automation, and rapid iteration is required.

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