Capital One
Full- stack Engineer 4 - Capital One Shopping Tech (Categories Team) (Remote - Eligible)
$179K–$225K
McLean, VA +1 · Full-time · Posted Oct 8, 2026
- Location
- McLean, VA
US Remote - Experience
- At least 4 years in software engineering and at least 2 years in public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes multiple thresholds from 1+ to 7+ years.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; a Master’s Degree in Computer Science or a related field is preferred.
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
About the job
Build and launch scalable consumer products for Capital One Shopping’s Categories team, with a focus on backend architecture, distributed services, and collaboration with product managers.
What you'll do
- Own greenfield products from inception through deployment, building scalable distributed microservices and backend architecture.
- Partner with product managers to define technical strategy and turn consumer needs into features.
- Contribute hands-on to architecture and coding, evaluate code, and mentor engineers.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 4 years of software engineering experience; internship experience does not apply.
- At least 2 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
Nice to have
- Experience leveraging modern AI-based coding tools and IDE copilots, including interactive AI tooling beyond basic code completion.
- Experience in mentoring, distributed systems observability, cross-functional technical leadership, coding standards, or related areas listed in the posting.
Pay
$179,400 - $204,700 USD base salary (Remote); $197,300 - $225,100 USD base salary (McLean, VA)
Tools
TypeScript, JavaScript, SQL, Python, Go, Docker, Kubernetes, AWS
AI focus
Use modern 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