Sr. Staff Engineer - Card Tech, AI-Native Cloud Leader

Capital One National Association; California, Northern (MO, KY); Hybrid; USD 343,000 - 392,000; Full time

Job summary

Capital One seeks a Sr. Staff Software Engineer for Card Tech to help define the future of banking in the cloud. You will lead as a high-leverage developer, ship production code, and mentor a team to build AI-native solutions.

You will partner with ML engineers, product managers and people leaders, evangelize bold technical visions, and own the technical benchmark across platforms to drive rapid, secure, scalable outcomes.

Qualifications

• Bachelor's degree in a relevant field.
• At least 9 years of software engineering experience.
• Experience designing distributed systems, backend architecture and API platforms.
• Experience with public cloud technologies.

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, such as performance, scalability and operability.
• Continue learning and injecting advanced technical knowledge into our community.
• Handle several projects simultaneously, balancing your time to maximize impact.
• Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community.

Skills

Distributed systems design

Backend architecture

Public cloud

Event-driven systems

APIs (GraphQL, REST, gRPC)

Containerization

Leadership / mentorship

Programming languages (Java, Python,Go

Education

Bachelor's degree

Master's degree

Tools

Docker

Kubernetes

GraphQL

REST

gRPC

Caching

Streaming

AWS

Azure

GCP

Job description

Capital One seeks a Sr. Staff Software Engineer for Card Tech to help define the future of banking in the cloud. You will lead as a high-leverage developer, ship production code, and mentor a team to build AI-native solutions.

You will partner with ML engineers, product managers and people leaders, evangelize bold technical visions, and own the technical benchmark across platforms to drive rapid, secure, scalable outcomes.