Senior Staff Full-Stack Engineer: Cloud, ML & Microservices

Capital One; New York (NY); On-site; USD 343,000 - 392,000; Full time

Job summary

Capital One is seeking a Senior Staff Full-Stack Engineer to join our cloud-enabled engineering team. You will influence architecture, drive modernization of systems, and lead through technical contribution while mentoring others across divisions.

In this role you will partner with ML experts, product managers, and leaders to define platform strategy, establish API standards, and deliver scalable, high-performance software. Strong senior-level coding and cloud experience are essential.

Qualifications

• Bachelor’s Degree is required.
• 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc.
• Experience with full lifecycle of system development from conception to production support.
• Cloud technologies experience (AWS, Azure, Google Cloud).

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, operability).
• Continue learning and injecting advanced technical knowledge into the community.
• Handle several projects simultaneously, balancing time to maximize impact.
• Mentor engineering peers and help strengthen technical skills across the team.
• Drive modernization of monolithic systems into microservices and event-driven architectures.
• Collaborate with senior leaders to define long-term platform strategy and API standards.
• Balance deep technical contribution with mentoring and enabling others.

Job description

Capital One is seeking a Senior Staff Full-Stack Engineer to join our cloud-enabled engineering team. You will influence architecture, drive modernization of systems, and lead through technical contribution while mentoring others across divisions.

In this role you will partner with ML experts, product managers, and leaders to define platform strategy, establish API standards, and deliver scalable, high-performance software. Strong senior-level coding and cloud experience are essential.