Lead DevOps Engineer - Cloud & SRE Leader

Capital One

McLean (VA)

On-site

USD 197,000 - 225,000

Full time

2 days ago
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Job summary

Capital One's CORE Technology division seeks a DevOps Engineer to lead and shape cloud-based solutions that support millions of customers and meet regulatory needs. You will drive end-to-end delivery, mentor engineers, and continuously explore new technologies to improve reliability and performance.

You will collaborate with product managers and cross-functional teams to implement scalable infrastructure using AWS, Kubernetes, and automation tools, enabling secure and efficient operations across

Qualifications

  • Bachelor’s Degree required.
  • At least 4 years of DevOps Engineering experience.
  • At least 3 years of Cloud Native technologies experience.
  • At least 4 years of Unix/Linux system administration experience.

Responsibilities

  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in ML, distributed microservices, and full-stack systems to meet regulatory needs.
  • Establish a dedicated SRE squad to bolster visibility, dependability, and consistency of current infrastructures.
  • Mentor other members of the engineering community and stay current with tech trends.
  • Collaborate with digital product managers to deliver robust cloud-based solutions for millions of Americans.
  • Utilize languages like Java, Python, SQL, Ruby and Go; use Docker/Kubernetes; and employ Ansible and Terraform, plus AWS tools.

Skills

DevOps
Cloud Native
Unix/Linux
Leadership

Education

Bachelor’s Degree

Tools

Jenkins
Docker
Kubernetes
Ansible
Terraform
Python
Java
SQL

Job description

Capital One's CORE Technology division seeks a DevOps Engineer to lead and shape cloud-based solutions that support millions of customers and meet regulatory needs. You will drive end-to-end delivery, mentor engineers, and continuously explore new technologies to improve reliability and performance.

You will collaborate with product managers and cross-functional teams to implement scalable infrastructure using AWS, Kubernetes, and automation tools, enabling secure and efficient operations across

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