Staff Engineer, Global Payments Cloud & AI

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

Job summary

Capital One’s Global Payments Network is seeking a Staff Engineer to drive cloud modernization and new capabilities for the Digital Payments platform. You will collaborate with developers, ML experts, PMs and people leaders to accelerate delivery while maintaining ultra-low latency and high reliability.

Based in Plano, TX, you’ll mentor others and lead with technical excellence across domains. You’ll influence architecture, decompose problems, and ensure design quality, while leveraging AI

Qualifications

• Bachelor’s degree required.
• 7+ years in general software.
• 7+ years in software engineering and solution architecture.
• 10+ years coding in Java, Python, Go, JavaScript/TypeScript, Swift, etc.
• 8+ years full lifecycle of system development.
• 3+ years of cloud technologies.
• Experience using interactive AI tooling to accelerate productivity.

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 performance, scalability and operability.
• Continue learning and injecting advanced technical knowledge into our community.
• Handle several projects simultaneously, balancing your time to maximize impact.
• Mentor and strengthen the technical expertise of the engineering and product community.

Skills

General software

Software engineering

Solution architecture

Cloud technologies

AI tooling

Education

Bachelor's degree

Master's degree (preferred)

Tools

Java

Python

Go

JavaScript/TypeScript

Swift

Job description

Capital One’s Global Payments Network is seeking a Staff Engineer to drive cloud modernization and new capabilities for the Digital Payments platform. You will collaborate with developers, ML experts, PMs and people leaders to accelerate delivery while maintaining ultra-low latency and high reliability.

Based in Plano, TX, you’ll mentor others and lead with technical excellence across domains. You’ll influence architecture, decompose problems, and ensure design quality, while leveraging AI