Capital One - Dover, DE

posted 13 days ago

Full-time - Senior
Dover, DE
Credit Intermediation and Related Activities

About the position

As a Senior Manager of Software Engineering in DevOps at Capital One, you will lead a team focused on developing model inference services and infrastructure for Machine Learning models at scale. This role involves driving a major transformation within the company, collaborating with various teams to design and implement robust, secure cloud-based solutions that enhance customer experiences. You will be part of the Enterprise Machine Learning leadership team, working with world-class engineers and researchers to support cutting-edge ML research and development.

Responsibilities

  • Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, and mentoring other members of the engineering community.
  • Collaborate with digital product managers to deliver robust cloud-based solutions that drive powerful experiences for customers.
  • Utilize programming languages like Java, Python, SQL, Ruby, and Go, along with container orchestration services including Docker and Kubernetes.

Requirements

  • Bachelor's degree
  • At least 6 years of experience in DevOps Engineering
  • At least 4 years of experience with Cloud Native technologies (AWS, Azure, GCP)
  • At least 6 years of Unix or Linux system administration experience
  • At least 4 years of experience in people management.

Nice-to-haves

  • 9+ years of DevOps Engineering experience
  • 6+ years of experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl, Ruby)
  • 4+ years of experience in infrastructure design, implementation, and delivery
  • 3+ years of experience with monitoring tools (Splunk or Zabbix)
  • 3+ years of experience with container orchestration services (Docker or Kubernetes)
  • 3+ years of experience working with Agile Development Practices.

Benefits

  • Comprehensive health benefits
  • Financial benefits including performance-based incentives
  • Inclusive workplace culture
  • Support for total well-being.
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