Lead Software Engineer, Devops

Capital One Capital One · Banking · McLean, VA

Lead Software Engineer, DevOps role at Capital One, focusing on building and pioneering technology, solving complex business problems, and driving transformation within the company. The role involves leading a portfolio of technology projects and a team of developers with experience in machine learning, distributed microservices, and full stack systems, while collaborating with product managers to deliver cloud-based solutions. Requires experience in DevOps, Cloud Native technologies, and Unix/Linux system administration.

What you'd actually do

  1. Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
  2. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  3. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  4. Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services

Skills

Required

  • DevOps Engineering
  • Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform)
  • Unix or Linux system administration experience
  • Java
  • Python
  • SQL
  • Ruby
  • Go
  • Docker
  • Kubernetes
  • Ansible
  • Terraform
  • AWS tools and services

Nice to have

  • DevOps Engineering experience
  • coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby)
  • Apache Mesos, Marathon, or Apache Spark
  • build and deployment tools (Jenkins, Docker)
  • distributed database systems (Cassandra, ElasticSearch)
  • deploying clustered web services
  • Agile Development Practices
  • interactive AI tooling

What the JD emphasized

  • regulatory needs