Lead DevOps Engineer — Cloud, AI & Automation

Capital One National Association; Plano (TX); On-site; USD 179,000 - 205,000; Full time

Benefits offered by this job

Health benefits

Financial benefits

Job summary

Capital One is seeking a Lead Software Engineer, DevOps to lead a portfolio of technology projects and a team of developers focused on ML, distributed microservices, and full stack systems. You will drive cloud-based solutions, mentor peers, and collaborate with product managers to deliver impactful experiences for millions of Americans.

Proven expertise in Java, Python, SQL, Go, Docker, Kubernetes, Ansible, Terraform, and AWS services will be essential in shaping resilient infrastructure and

Qualifications

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

Responsibilities

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in ML, distributed microservices, and full stack systems.
• Mentor other members of the engineering community and stay current with tech trends.
• Collaborate with product managers and deliver cloud-based solutions that empower users.
• Utilize Java, Python, SQL, Ruby and Go, Docker and Kubernetes, Ansible and Terraform, and AWS tools.

Skills

DevOps Engineering

Cloud Native technologies

Unix/Linux administration

Java

Python

SQL

Go

Docker

Kubernetes

Ansible

Terraform

Jenkins

Cassandra

ElasticSearch

Agile Development

AI tooling

Education

Bachelor’s Degree

Tools

Docker

Kubernetes

Ansible

Terraform

Jenkins

Job description

Capital One is seeking a Lead Software Engineer, DevOps to lead a portfolio of technology projects and a team of developers focused on ML, distributed microservices, and full stack systems. You will drive cloud-based solutions, mentor peers, and collaborate with product managers to deliver impactful experiences for millions of Americans.

Proven expertise in Java, Python, SQL, Go, Docker, Kubernetes, Ansible, Terraform, and AWS services will be essential in shaping resilient infrastructure and