Cloud ML Platform Architect & Tech Lead

Capital One National Association; San Jose (CA); On-site; USD 293,600 - 335,100; Full time

Benefits offered by this job

Performance-based incentives

Comprehensive health benefits

Inclusive workplace

Job summary

Capital One National Association is seeking a Distinguished Software Engineer in San Jose, CA to lead the development of a large-scale machine-learning platform. This role involves architecting implementations, developing distributed computing solutions, and mentoring talent. Candidates should have significant experience in software engineering, designing distributed systems, and public cloud technologies such as AWS. The position offers a competitive salary range of $293,600 - $335,100 along with performance-based incentives.

Qualifications

• Minimum of 7 years of experience in software engineering.
• At least 7 years of experience designing distributed systems and backend architecture.
• At least 5 years of experience with public cloud technologies.

Responsibilities

• Architect and build implementations for a large-scale machine‑learning platform.
• Develop distributed compute engine solutions using Spark and Ray.
• Lead technical execution of diverse project portfolio.

Skills

Software engineering

Distributed systems

API platforms

Public cloud technologies

Mentoring

Collaboration

Automation

Education

Bachelor’s Degree

Master’s Degree in Computer Science or Software Engineering

Tools

AWS (specifically EKS, EC2, Graviton)

Spark

Ray

Go

Python

Job description

Capital One National Association is seeking a Distinguished Software Engineer in San Jose, CA to lead the development of a large-scale machine-learning platform. This role involves architecting implementations, developing distributed computing solutions, and mentoring talent. Candidates should have significant experience in software engineering, designing distributed systems, and public cloud technologies such as AWS. The position offers a competitive salary range of $293,600 - $335,100 along with performance-based incentives.