Capital One
Full-stack Engineer 4 - Machine Learning Experiences (MLX)
$179K–$246K
San Jose, CA +5 · Full-time · Posted Oct 23, 2026
- Location
- San Jose, CA
McLean, VA
Cambridge, MA
Richmond, VA
San Francisco, CA
New York, NY - Experience
- At least 4 years in software engineering and at least 2 years in the specified cloud-related areas. Preferred experience includes 7+ years coding with more than two listed languages; other preferred thresholds range from 1+ to 4+ years.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; preferred: Master’s Degree in Computer Science or a related field.
- Visa sponsorship
- Will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
About the job
Leads full-stack engineering projects and developers to build cloud-based microservices and customer experiences that meet regulatory needs, while setting technical standards and guiding technology strategy.
What you'll do
- Lead technology projects and developers, providing technical direction and standards across Agile teams.
- Partner with product managers and architects to design and deliver robust cloud-based solutions and reusable frameworks.
- Improve system performance and reduce technical debt through refactoring, technology evaluation, and operational excellence.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 4 years of experience in software engineering (Internship experience does not apply).
- At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies.
Nice to have
- Master’s Degree in Computer Science or a related field.
- Experience with modern AI-based coding tools and IDE copilots, or interactive AI tooling beyond basic code completion.
Pay
$179,400 - $204,700 USD base salary; $197,300 - $225,100 USD base salary; $215,200 - $245,600 USD base salary
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, AWS
AI focus
Preferred experience includes using AI-based coding tools, IDE copilots, and interactive AI tooling beyond basic code completion to accelerate productivity.
Model-written summary · the original posting is authoritative