Full-stack Engineer 5 (Senior Manager, IC)

Capital One•McLean, VA
•$229,900 - $262,400

About The Position

Capital One is seeking a Full-stack Software Engineer for Enterprise Data Tech (EDT), which manages the company’s data technology, platforms, and experiences. EDT’s mission is to make data easy to find, use, understand, govern, and protect throughout the data lifecycle, while evolving its capabilities for AI and expanding its data platforms. In this role, you will lead technology projects and developers, provide technical leadership across teams, and drive the architecture and implementation of large-scale distributed and cloud-native systems. You will collaborate with product managers, architects, and product leaders to deliver cloud-based solutions, define platform roadmaps and shared-services strategy, and meet regulatory needs. The role also involves mentoring engineers and contributing to technology communities. The work uses a broad range of programming languages, open-source databases, container orchestration, and AWS tools and services. The position is based on a full-time annual salary range of $229,900 to $262,400 in McLean, Virginia, and is eligible for performance-based incentive compensation.

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 6 years of software engineering experience; internship experience does not apply.
  • At least 3 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.

Nice To Haves

  • Master’s degree in Computer Science or a related field.
  • 9 or more years of coding experience with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala.
  • 5 or more years contributing to open-source frameworks.
  • 5 or more years of experience with front-end JavaScript or TypeScript frameworks.
  • 5 or more years of experience creating synchronous and asynchronous APIs.
  • 4 or more years of experience with databases and database management systems.
  • 4 or more years of experience with AWS, GCP, Azure, cloud-based productivity tools, or virtualization technologies.
  • 4 or more years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
  • 4 or more years of experience using Git-based version-control systems such as Git, GitHub, or Bitbucket.
  • 4 or more years of experience troubleshooting technical issues in cloud environments.
  • 3 or more years mentoring senior engineers and driving professional development within technical teams.
  • 2 or more years leveraging observability to identify and optimize performance bottlenecks in distributed systems.
  • 1 or more years leading architectural design reviews and influencing enterprise-wide technical standards and methodologies.
  • 1 or more years establishing and enforcing coding standards and design patterns across teams.
  • 1 or more years implementing observability and reliability practices at scale.
  • Experience leveraging modern AI-based coding tools and IDE copilots.
  • Experience influencing technology strategy at the portfolio or business-unit level.
  • 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.

Responsibilities

  • Lead a portfolio of diverse technology projects and a team of developers experienced in distributed microservices and full-stack systems to create solutions that meet regulatory needs.
  • Stay current with technology trends, experiment with and learn 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 that support customer experiences.
  • Use programming languages, open-source RDBMS and NoSQL databases, container orchestration services, and AWS tools and services to build solutions.
  • Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction.
  • Drive end-to-end design and implementation of large-scale distributed or cloud-native systems with high reliability and performance requirements.
  • Partner with architects and product leaders to define platform roadmaps and shared-services strategy.

Benefits

  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
  • Comprehensive health, financial, and other benefits supporting total well-being.
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