Staff Engineer - Global Payment Network | Cloud-Native & AI

Capital One; Houston (TX); On-site; USD 245,000 - 279,000; Full time

Benefits offered by this job

Performance-based incentives

Health benefits

Job summary

Capital One in Houston seeks a Staff Engineer to lead technical vision and deliver scalable, low-latency cloud-native solutions for global payments. You will collaborate with software engineers, ML experts, product managers and people leaders to drive innovation and impact.

As a trusted advisor, you will own non‑functional characteristics, mentor teams, and contribute code, designs, and knowledge sharing across the organization.

Qualifications

• Bachelor's degree required; at least 7 years in software engineering and architecture.
• Strong experience in multiple programming languages and cloud technologies.
• Proven ability to lead complex engineering initiatives and mentor teams.

Responsibilities

• Articulate and evangelize a bold technical vision for your domain.
• Decompose complex problems into practical, scalable solutions.
• Ensure high quality technical design and implementation.
• Serve as an authoritative expert on performance, scalability, and operability.
• Continue learning and inject advanced technical knowledge into the community.
• Balance multiple projects to maximize impact.
• Mentor and role‑model within the engineering and product communities.

Skills

Java

Python

Go

JavaScript/TypeScript

Swift

Cloud experience

AI tooling

Performance optimization

Education

Bachelor's Degree

Bachelor's or Master's in CS or related field

Tools

Public/Private Cloud

Networking (BGP, SD‑WAN, Cloud Networking)

Distributed systems

Job description

Capital One in Houston seeks a Staff Engineer to lead technical vision and deliver scalable, low-latency cloud-native solutions for global payments. You will collaborate with software engineers, ML experts, product managers and people leaders to drive innovation and impact.

As a trusted advisor, you will own non‑functional characteristics, mentor teams, and contribute code, designs, and knowledge sharing across the organization.