Staff Engineer: AI-Driven Risk & Cloud (Remote)

Capital One; Cambridge (MA); On-site; USD 269,000 - 307,000; Full time

Job summary

Capital One in Cambridge, MA is seeking a Staff Engineer to drive AI-enabled risk technology, shaping architecture across cloud platforms while delivering production-grade code.

You will mentor engineers, lead complex system design reviews, and partner with Anti-Money Laundering & Sanctions teams on real-time risk management products. This hands-on role emphasizes scalable solutions and engineering excellence, with a remote option available.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 7+ years of software engineering and solution architecture experience.
• 5+ years of cloud computing experience (AWS, Azure, GCP).
• 5+ years of data architecture experience including event-driven and real-time architectures.

Responsibilities

• Articulate and evangelize a bold technical vision for embedding AI and automated code transformation into the developer lifecycle.
• Decompose complex problems into practical and operational solutions.
• Ensure the quality of technical design and implementation.
• Serve as an authoritative expert on non-functional system characteristics such as performance, scalability and operability.
• Continue learning and injecting advanced technical knowledge into our community.
• Develop full stack applications spanning frontend and backend ecosystems.

Skills

Java

Python

Go

JavaScript/TypeScript

Swift

AI/ML concepts

SRE principles

Observability tooling

Education

Bachelor’s Degree

CS degree preferred

Tools

OpenTelemetry

Prometheus

Tracing

AWS

Azure

GCP

Job description

Capital One in Cambridge, MA is seeking a Staff Engineer to drive AI-enabled risk technology, shaping architecture across cloud platforms while delivering production-grade code.

You will mentor engineers, lead complex system design reviews, and partner with Anti-Money Laundering & Sanctions teams on real-time risk management products. This hands-on role emphasizes scalable solutions and engineering excellence, with a remote option available.