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

Capital One; Cheyenne (WY); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is seeking a Staff Engineer (Remote - Eligible) to lead high-impact, AI-enabled engineering initiatives across risk management and banking platforms. You will contribute hands-on code, influence architectural decisions, and mentor teams while driving scalable, observable, cloud-first solutions.

You will partner with risk and AML teams to define modern technologies, shape product directions, and deliver robust systems that balance performance with rapid delivery.

Qualifications

• Bachelor’s degree required.
• 7+ years in software engineering and solution architecture.
• 5+ years in cloud computing (AWS, Azure, GCP).
• 5+ years in data architecture including real-time/event-driven.
• Experience applying AI/ML to engineering challenges.

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 (performance, scalability, operability).
• Mentor engineers and contribute to engineering excellence across teams.
• Handle multiple projects, balancing time to maximize impact.
• Code deeply: write production-grade code and participate in design reviews.
• Develop full stack applications spanning frontend and backend ecosystems.

Skills

Software engineering

Solution architecture

Cloud computing

Data architecture

AI/ML concepts

SRE/Observability

Education

Bachelor's Degree

Master's Degree preferred

Tools

OpenTelemetry

Prometheus

Tracing

Job description

Capital One is seeking a Staff Engineer (Remote - Eligible) to lead high-impact, AI-enabled engineering initiatives across risk management and banking platforms. You will contribute hands-on code, influence architectural decisions, and mentor teams while driving scalable, observable, cloud-first solutions.

You will partner with risk and AML teams to define modern technologies, shape product directions, and deliver robust systems that balance performance with rapid delivery.