Senior Full-Stack Engineer & Tech Lead, Risk AI

Capital One

Cambridge (MA)

On-site

USD 197,000 - 225,000

Full time

8 days ago
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Benefits offered by this job

Health benefits
Competitive compensation package
Inclusive benefits

Job summary

Capital One is seeking a Full-stack Engineer 4 in Risk Tech to lead and contribute across distributed microservices and full-stack systems in a fast-paced environment. You'll collaborate with digital product managers, mentor engineers, and drive cloud-based solutions that empower millions of customers to achieve financial empowerment.

You'll use Java, Scala, Python, Go, Node.js, JavaScript/TypeScript, Docker, Kubernetes, and AWS services, while shaping design standards and reducing technical

Qualifications

  • Bachelor's degree in Computer Science or related field; advanced degree preferred.
  • Minimum 4 years of software engineering experience; internship excluded.
  • 2+ years of public cloud platform experience (AWS, GCP, Azure).

Responsibilities

  • Lead a portfolio of diverse technology projects with a team of developers.
  • Mentor engineers and drive best practices across Agile teams.
  • Collaborate with product managers to deliver cloud-based risk solutions.
  • Develop with Java, Scala, Python, Go, Node.js, JavaScript/TypeScript; use Docker/Kubernetes and AWS.
  • Define service boundaries, integration patterns, and reusable frameworks.

Skills

Distributed systems
Mentoring engineers
Tech leadership
Open source contributions
AI tooling familiarity

Education

Bachelor's degree in Computer Science or related field
Master's degree preferred

Tools

Docker
Kubernetes
AWS
Java
Scala
Python
Go
Node.js
TypeScript

Job description

Capital One is seeking a Full-stack Engineer 4 in Risk Tech to lead and contribute across distributed microservices and full-stack systems in a fast-paced environment. You'll collaborate with digital product managers, mentor engineers, and drive cloud-based solutions that empower millions of customers to achieve financial empowerment.

You'll use Java, Scala, Python, Go, Node.js, JavaScript/TypeScript, Docker, Kubernetes, and AWS services, while shaping design standards and reducing technical

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