Distinguished Engineer (remote - Eligible)

Capital One Capital One · Banking · Cambridge, MA +3 · Remote

Distinguished Engineer role focused on architecting and building AI-driven risk management products within the financial sector. This is a hands-on technical leadership position requiring deep expertise in software engineering, solution architecture, cloud computing, and data architecture, with a strong emphasis on applying AI/ML to solve complex problems and drive innovation in the developer lifecycle and risk management.

What you'd actually do

  1. Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle
  2. Decompose complex problems into practical and operational solutions
  3. Ensure the quality of technical design and implementation
  4. Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
  5. Continue learning and injecting advanced technical knowledge into our community

Skills

Required

  • Software engineering
  • Solution architecture
  • Enterprise architecture
  • Design patterns
  • Cloud computing (AWS, Microsoft Azure, Google Cloud)
  • Data architecture
  • Event Driven architectures
  • Real-Time architectures

Nice to have

  • Computer Science or a related field
  • Java
  • Python
  • Go
  • JavaScript/TypeScript
  • Swift
  • Full lifecycle of system development
  • Applying Artificial Intelligence or Machine Learning concepts to engineering challenges
  • Anomaly detection
  • Test optimization
  • Intelligent testing
  • Site Reliability Engineering (SRE) principles
  • Chaos engineering
  • Advanced Observability tooling (e.g., OpenTelemetry, Prometheus, Tracing)
  • Implementing Artificial Intelligence or Artificial Intelligence-enabled solutions

What the JD emphasized

  • hands-on technical role
  • dive deep into the codebase
  • write high-quality production code
  • Experience in applying Artificial Intelligence or Machine Learning concepts to engineering challenges
  • Experience in implementing Artificial Intelligence or Artificial Intelligence-enabled solutions

Other signals

  • architect intelligent, real-time risk management products
  • leverage machine learning and AI capabilities to proactively prevent risks
  • define and introduce modern technologies to solve critical problems
  • hands-on technical role
  • dive deep into the codebase, write high-quality production code