Staff Engineer: AI-Native Systems & Cloud Architect

Capital One; Chicago (IL); On-site; USD 245,000 - 279,000; Full time

Benefits offered by this job

Performance-based incentives

Health benefits

Talent development programs

Job summary

Capital One is seeking a Staff Engineer to join Card Tech, leading technical vision and high-velocity development in cloud-native environments. You will mentor engineers, drive architectural excellence, and collaborate with product managers to deliver scalable AI-native solutions.

The role emphasizes hands-on contribution as a high-leverage developer and a leader shaping platform strategy and API standards across divisions, with a focus on modernizing monolithic systems into microservices.

Qualifications

• Bachelor’s Degree or higher in Computer Science or related field
• At least 7 years of experience in software engineering, solution architecture, enterprise architecture and cloud computing
• Experience with data architecture and cloud platforms

Responsibilities

• Articulate and evangelize a bold technical vision for your domain
• 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)
• Continue learning and injecting advanced technical knowledge into our community
• Act as a role model and mentor within the tech community and coach peers

Skills

Software engineering

Solution architecture

Enterprise architecture

Cloud computing

Data architecture

Web technologies

Distributed HPC/ML systems

Go/Java/JS/Python

Public cloud (AWS/Azure/GCP)

Mentoring engineers

Architectural reviews

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in CS/Software Engineering

Tools

AWS

Azure

GCP

Job description

Capital One is seeking a Staff Engineer to join Card Tech, leading technical vision and high-velocity development in cloud-native environments. You will mentor engineers, drive architectural excellence, and collaborate with product managers to deliver scalable AI-native solutions.

The role emphasizes hands-on contribution as a high-leverage developer and a leader shaping platform strategy and API standards across divisions, with a focus on modernizing monolithic systems into microservices.