Distinguished Engineer , Bank Tech (remote- Eligible)

Capital One Capital One · Banking · New York, NY +1 · Remote

Distinguished Engineer role focused on integrating AI into the software development lifecycle (SDLC) to optimize developer workflow, quality, and reliability within the banking technology sector. The role involves architectural evolution, convergence strategy, and technical leadership to drive innovation and build engineering excellence.

What you'd actually do

  1. Architectural Evolution: Drive the transition to a dynamically-driven architecture, utilizing SDUI and BFF patterns to decouple our front-end experiences from backend complexity.
  2. Convergence Strategy: Act as the primary technical arbiter for our journey from line of business-specific tech stacks to determine where uniqueness provides value and where it creates technical debt.
  3. AI-Augmented SDLC: Lead the charge in identifying and implementing AI-driven efficiencies across our software development lifecycle (SDLC) to accelerate delivery and improve code resilience.
  4. Technical Execution: Guide the technical execution of a diverse project portfolio, collaborating with engineers specializing in everything ranging from distributed microservices to web and mobile applications to fraud and decisioning models.
  5. Strategic Influence: Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions.

Skills

Required

  • Bachelor's Degree
  • 7 years of experience in software engineering
  • 7 years of experience designing distributed systems, backend architecture, and API platforms
  • 5 years of experience with public cloud technologies

Nice to have

  • Bachelor's or Master's Degree in Computer Science or a related field.
  • 10+ years of hands-on experience developing and architecting solutions on AWS.

What the JD emphasized

  • AI-enabled tools
  • AI-driven efficiencies
  • integration of AI

Other signals

  • AI-enabled tools for pipeline optimization
  • AI-driven efficiencies across our software development lifecycle (SDLC)
  • guide our continued integration of AI into our entire software development lifecycle