Stack Engineer - 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.

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.

• 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/Type Script, 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 Type Script, JavaScript, SQL, Python, or Go, alongside Open Source RDBMS, distributed No
  
  SQL databases, Container Orchestration (Docker/Kubernetes), and a wide variety of AWS cloud‑native tools.

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
• 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.

• Master’s Degree in Computer Science or a related field.
• 7+ years of experience coding with more than two of the following:
  Go, Java, JavaScript/Type Script, Python, Rust, C#, Scala.
• 3+ years of experience with database and database management systems.
• 3+ years of experience with AWS, GCP, Azure, or cloud‑based productivity tools or virtualization technologies.
• 4+ years of experience contributing to open source frameworks.
• 3+ years of experience with front‑end JavaScript or Type Script frameworks.
• 4+ years of experience creating synchronous and asynchronous APIs.
• 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
• 3+ years of experience using Git‑based version‑control systems (e.g., Git, Git Hub, Bitbucket).
• 3+ years of experience troubleshooting technical issues within cloud environments.
• Experience leveraging modern AI‑based coding tools and IDE copilots.
• 1+ year of experience mentoring engineers and driving professional development within technical teams.
• 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems.
• Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion.
• Experience leading cross‑functional engineering efforts or large‑scale technical…