Full-stack Engineer 4 - Machine Learning Experiences (MLX)

Capital One•San Jose, CA
•$179,400 - $245,600

About The Position

Capital One is seeking a Full-stack Software Engineer to help drive a major technology transformation. The role leads technology projects and developers working with distributed microservices and full-stack systems, creating solutions that address company regulatory needs and deliver cloud-based customer experiences. The engineer provides technical leadership across Agile teams, partners with product managers and architects, and contributes to technology strategy in a “you build it, you own it” environment. The position involves building with languages and technologies including Java, Scala, Python, Go, Node.js, JavaScript, and TypeScript; open-source relational and NoSQL databases; Docker and Kubernetes; and AWS services. The engineer also helps establish development and operational standards, improves system performance, reduces technical debt, mentors engineers, and evaluates emerging tools and practices.

Requirements

  • Bachelor’s degree or higher in Computer Science or a related quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
  • At least 4 years of software engineering experience; internship experience does not apply.
  • At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies.

Nice To Haves

  • Master’s degree in Computer Science or a related field.
  • 7 or more years of coding experience with more than two of Go, Java, JavaScript/TypeScript, Python, Rust, C#, and Scala.
  • 3 or more years of experience with databases and database management systems.
  • 3 or more years of experience with AWS, GCP, Azure, cloud-based productivity tools, or virtualization technologies.
  • 4 or more years of experience contributing to open-source frameworks.
  • 3 or more years of experience with front-end JavaScript or TypeScript frameworks.
  • 4 or more years of experience creating synchronous and asynchronous APIs.
  • 3 or more years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
  • 3 or more years of experience using Git-based version-control systems such as Git, GitHub, or Bitbucket.
  • 3 or more years of experience troubleshooting technical issues in cloud environments.
  • Experience leveraging modern AI-based coding tools and IDE copilots.
  • Experience with interactive AI tooling to accelerate productivity using capabilities beyond basic code completion.
  • At least 1 year of experience mentoring engineers and driving professional development within technical teams.
  • At least 1 year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems.
  • Experience leading cross-functional engineering efforts or large-scale technical initiatives.
  • Experience establishing and enforcing coding standards and design patterns across teams.

Responsibilities

  • Lead a portfolio of technology projects and a team of developers working on distributed microservices and full-stack systems, including solutions that meet regulatory needs.
  • Promote learning and engagement with technology trends, new technologies, and internal and external technology communities; mentor engineering community members.
  • Collaborate with digital product managers to deliver robust cloud-based solutions and customer experiences.
  • Use programming languages, databases, container orchestration services, and AWS tools and services to build solutions.
  • Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence.
  • Partner with architects to define service boundaries, integration patterns, and reusable frameworks.
  • Identify areas for improvement, implement targeted refactoring, and help reduce technical debt and improve system performance.
  • Influence long-term technology strategy by evaluating emerging tools and practices in a “you build it, you own it” environment.

Benefits

  • Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.
  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service