Staff Full-Stack Engineer — Remote Cloud & ML Leader

Capital One; Montgomery (AL); Remote; USD 245,000 - 307,000; Full time

Job summary

Capital One is seeking a Staff Full-stack Engineer to lead technical direction across cloud-native platforms, mentoring engineers and shaping scalable, secure solutions. You will drive modernization from monoliths to microservices, and set API standards with architecture leaders.

Collaborate with ML researchers, product managers and people leaders to align technical roadmaps with business outcomes, while evangelizing best practices across divisions.

Qualifications

• Bachelor's degree or higher in a quantitative field or CS.
• 7+ years in software engineering, solution architecture, and cloud.
• Experience with cloud platforms and data architecture.

Responsibilities

• Articulate and evangelize a bold technical vision for your domain.
• Decompose complex problems into practical solutions.
• Ensure design and implementation quality and reliability.
• Lead non-functional requirements like performance and operability.
• Modernize monoliths to microservices and event-driven platforms.
• Collaborate with leaders to define long-term platform strategy and API standards.
• Mentor engineers and coach the tech community.

Skills

Software architecture

Enterprise architecture

Web technologies

Distributed ML systems

Public cloud

Data architecture

Networking protocols

Mentoring engineers

Cross-domain reviews

AI tooling

Go/Java/JS/Python

Education

Bachelor's Degree in Computer Science or related

Master’s Degree in Computer Science or Software Engineering

Tools

AWS

Azure

Google Cloud

Job description

Capital One is seeking a Staff Full-stack Engineer to lead technical direction across cloud-native platforms, mentoring engineers and shaping scalable, secure solutions. You will drive modernization from monoliths to microservices, and set API standards with architecture leaders.

Collaborate with ML researchers, product managers and people leaders to align technical roadmaps with business outcomes, while evangelizing best practices across divisions.