Distinguished Engineer - Risk Tech (remote - Eligible)

Capital One

Remote
Remote (regardless of location): $244,700 - $279,2...
Fully remote
Technical vision for ai and automated code transformation
Expertise in non-functional system characteristics
Develop full stack applications with product mindset
Capital One is seeking a Distinguished Engineer for its Risk Technology team, focusing on innovative solutions in cloud banking and risk management. The role involves leadership in technical contributions, mentoring talent, and driving the integration of AI in banking technologies

Job Summary

  • As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.
  • In this role you will work with the Credit & Financial Risk Management teams to create real-time and intelligent risk management products that are powered by some of the advanced technology (such as Artificial Intelligence).
  • You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed.

Matching Summary

Match Score: 85

Capital One is seeking a Distinguished Engineer for its Risk Technology team, focusing on innovative solutions in cloud banking and risk management. The role involves leadership in technical contributions, mentoring talent, and driving the integration of AI in banking technologies.

Salary

Remote (Regardless of Location): $244,700 - $279,200; Cambridge, MA: $269,100 - $307,200; McLean, VA: $269,100 - $307,200; New York, NY: $293,600 - $335,100; Richmond, VA: $244,700 - $279,200; Bonus/Equity: Eligible to earn performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Technical vision for AI and automated code transformation
  • Expertise in non-functional system characteristics
  • Develop full stack applications with product mindset
  • Cloud computing (AWS, Azure, GCP)
  • Data architecture including Event Driven and Real-Time

Nice-to-have

  • Thought leadership in engineering excellence
  • Promote a culture of engineering excellence
  • Mentoring internal talent and recruiting
  • Site Reliability Engineering (SRE) principles
  • Chaos engineering and advanced Observability tooling

Key Requirements

  • Bachelor’s Degree
  • 7+ years Software engineering and solution architecture
  • 7+ years Enterprise architecture and design patterns
  • 5+ years Cloud computing
  • 5+ years Data architecture
  • 10+ years Software Engineering and solution architecture
  • 10+ years coding in Java, Python, Go, JavaScript/TypeScript, Swift
  • 8+ years full lifecycle system development
  • Experience applying AI or ML concepts
  • Experience implementing AI-enabled solutions

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter