Full- stack Engineer 5 - Capital One Shopping Tech (Categories Team) (Remote - E
Capital One · United States · 2026-10-15
About this role
Full- stack Engineer 5 - Capital One Shopping Tech (Categories Team) (Remote - Eligible)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One Shopping, you'll be part of a group of makers, breakers, doers, and disruptors who love to solve real problems and meet real customer needs. We are seeking a Full - stack Engineer 4 to join our Categories tower. Within Capital One Shopping, Categories is our high-growth, entrepreneurial hub focused on 0-1 product launches. We build thematic spend ecosystems—ranging from Travel (Hotels, Airbnb, Rental Cars) and Groceries to Streaming, Event Tickets, and Mobile Gaming.
As a Full - stack Engineer 5, you’ll have the unique opportunity to partner deeply with Product Managers to ideate, strategize, and architect brand-new consumer experiences. If you want the nimbleness and ownership of a startup backed by the massive scale of a top-tier tech institution, this is your space.
What You’ll Do:
• Own and Build 0 → 1 Greenfield Products: Take technical ownership of brand-new, greenfield product spaces from inception to deployment. You will be a hands-on engineer deeply involved in building and delivering highly scalable, distributed microservices, with a heavy emphasis on robust backend architecture.
• Master Complex Scale: Work across diverse platforms and stacks. While day-to-day development relies heavily on JavaScript/TypeScript, you will also touch unique infrastructure and big data pipelines tracking over 3 billion items and terabytes of analytics.
• Partner & Ideate: Collaborate closely with Digital Product Managers to define technical strategy, exercise high ownership over your domain, and turn ambiguous consumer needs into high-performing features.
• Mentor & Code: Share your passion for staying on top of tech trends, experimenting with new technologies, and mentoring members of the engineering community. You will lead by example—participating in architectural design, code evaluations, and hands-on coding.
• Leverage Modern Tech: Utilize programming languages like TypeScript, JavaScript, SQL, Python, or Go, alongside Open Source RDBMS, distributed NoSQL databases, Container Orchestration (Docker/Kubernetes), and a wide variety of AWS cloud native tools
Basic Qualifications:
• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 6 years of experience in software engineering (Internship experience does not apply)
• At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies
Preferred Qualifications:
• Master’s Degree in Computer Science or a related field
• 9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
• 5+ years of experience contributing to open source frameworks
• 5+ years of experience with front-end JavaScript or TypeScript frameworks
• 5+ years of experience creating synchronous and asynchronous APIs
• 4+ years of experience with database and database management systems
• 4+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies
• 4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
• 4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
• 4+ years of experience troubleshooting technical issues within cloud environments
• 3+ years of experience mentoring senior engineers and driving professional development within technical teams
• 2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
• 1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies
• 1+ year of experience establishing and enforcing coding standards and design patterns across teams
• 1+ year of experience implementing observability and reliability practices at scale
• Experience leveraging modern AI-based coding tools and IDE copilots
• Experience influencing technology strategy at the portfolio or business unit level
• Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
• Experience leading cross-functional engineering efforts or large-scale technical initiatives
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Remote (Regardless of Location): $209,000 - $238,500 for Full-stack Engineer 5McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or…
Skills asked for
- microservices
- javascript
- typescript
- python
- go
- docker
- kubernetes
- aws
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