Lead Software Engineer, Devops / Mlops (agentic Workflows, Ai/ml Guardrails, Kubernetes, Python, Aws)

Capital One Capital One · Banking · New York, NY +4

Lead Software Engineer, DevOps / MLOps role focused on building agentic workflows and AI/ML guardrails within a fintech company, utilizing Kubernetes and AWS. The role involves leading a team, collaborating with product managers, and delivering cloud-based solutions.

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

Nice to have

  • DevOps Engineering experience
  • coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby)
  • build and deployment tools (Jenkins, Docker, Kubernetes)
  • distributed database systems (Cassandra, ElasticSearch)
  • deploying clustered web services
  • Agile Development Practices
  • Machine Learning Operations experience

What the JD emphasized

  • Agentic Workflows
  • AI/ML Guardrails

Other signals

  • MLOps
  • Agentic Workflows
  • AI/ML Guardrails
  • Kubernetes
  • AWS