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

Capital One•San Jose, CA
•$215,200 - $245,600

About The Position

Capital One is seeking a Full-stack Software Engineer to help drive a major technology transformation and build solutions that meet regulatory needs and deliver cloud-based customer experiences. The role leads technology projects and developers working with distributed microservices and full-stack systems, and provides technical leadership across Agile teams. The engineer partners with digital product managers and architects to define service boundaries, integration patterns, reusable frameworks, and standards for design, development, and operational excellence. The position involves evaluating emerging technologies, reducing technical debt, improving system performance, and contributing to long-term technology strategy in a “you build it, you own it” environment. Technologies mentioned include Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS services.

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, or 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 the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, or 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 within cloud environments.
  • Experience using modern AI-based coding tools and IDE copilots.
  • At least 1 year of experience mentoring engineers and driving professional development within technical teams.
  • At least 1 year of experience using observability to identify and optimize performance bottlenecks in distributed systems.
  • Experience with interactive AI tooling to accelerate productivity, using capabilities beyond basic code completion.
  • 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 building distributed microservices and full-stack systems that address regulatory needs.
  • Stay current with technology trends, experiment with new technologies, participate in internal and external technology communities, and mentor members of the engineering community.
  • Collaborate with digital product managers to deliver robust cloud-based solutions and customer experiences.
  • Use programming languages, databases, container orchestration services, and cloud tools to build solutions.
  • Provide technical leadership and direction across Agile teams, establishing standards for design, development, and operational excellence.
  • Partner with architects to define service boundaries, integration patterns, and reusable frameworks.
  • Identify areas for improvement and implement targeted refactoring to 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, competitive health, financial, and other benefits supporting total well-being.
  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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