Staff Engineer - Remote AI & Cloud Risk Platform

Capital One; Juneau (AK); Remote; USD 245,000 - 279,000; Full time

Job summary

Capital One is seeking a Staff Engineer to lead in the Risk Technology domain, focusing on AI-enabled risk management and real-time data platforms. This remote-eligible role demands deep software engineering, cloud, and architectural expertise, with hands-on coding, design reviews, and mentorship across teams.

You will partner with AML & Sanctions teams to craft scalable, observable systems and champion engineering excellence while delivering high-impact, end-to-end solutions across frontend and

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 10+ years in software engineering and solution architecture.
• 5+ years in cloud computing (AWS/Azure/GCP).
• 5+ years in data architecture including real-time and event-driven patterns.
• 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, such as performance, scalability and operability.
• Continue learning and injecting advanced technical knowledge into our community.
• Handle several projects simultaneously, balancing time to maximize impact.
• Act as a role model and mentor within the tech community, coaching and strengthening technical expertise.
• Develop full stack applications with a product engineering mindset, spanning frontend and backend ecosystems.

Skills

Software engineering

Solution architecture

Cloud computing

Data architecture

AI/ML concepts

SRE principles

Education

Bachelor’s Degree

Master's Degree in CS or related field

Tools

AWS

Azure

Google Cloud

OpenTelemetry

Prometheus

Job description

Capital One is seeking a Staff Engineer to lead in the Risk Technology domain, focusing on AI-enabled risk management and real-time data platforms. This remote-eligible role demands deep software engineering, cloud, and architectural expertise, with hands-on coding, design reviews, and mentorship across teams.

You will partner with AML & Sanctions teams to craft scalable, observable systems and champion engineering excellence while delivering high-impact, end-to-end solutions across frontend and