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Director stack Engineer, Shopping Tech; Remote- Eligible

Remote / Online - Candidates ideally in
McLean, Fairfax County, Virginia, USA
Listing for: Capital One
Remote/Work from Home position
Listed on 2026-09-27
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 269100 - 307200 USD Yearly USD 269100.00 307200.00 YEAR
Job Description & How to Apply Below
Position: Director, Full- stack Engineer, Shopping Tech (Remote- Eligible)

Director, Full- stack Engineer, Shopping Tech (Remote
- Eligible) Interested in joining a dynamic remote first engineering team in a fast-paced environment full of greenfield problem-solving? Then Capital One Shopping might be the place for you. Join us in supporting a growth-stage line of business with a startup mindset as we build technology to save our customers money. As a Capital One Director, Full Stack
- Engineer, you'll work on customer-facing web and services to help launch high visibility features and products. You will lead teams using cutting-edge frameworks, technologies and Machine learning models using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, React, Python, REST, JSON, No

SQL databases, relational databases and AWS/Cloud Infrastructure to name a few.

What You’ll Do:
  • Lead, manage and grow multiple teams of product-focused software engineers
  • Mentor and guide the professional and technical development of engineers on your team.
  • Work with product managers to understand desired application capabilities and testing scenarios
  • Continuously improve software engineering practices
  • Work within and across Agile teams to design, develop, test, implement and support technical solutions across a full-stack development tools and technologies
  • Lead the craftsmanship, availability, resilience, and scalability of your solutions
  • Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community
  • Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization and diversity
  • Work across to improve the velocity of your and other teams
  • Lead efforts to deploy new and existing applications into AWS environments
  • Oversee and guide the technical implementation of breaking existing monolithic applications into microservice architectures and build new microservices
  • Shape long-term technical strategy and architecture standards for enterprise platforms
  • Partner with senior engineering and business leaders to align product roadmaps with scalable technology capabilities
  • Drive talent strategy, ensuring succession planning, skill development, and equitable opportunity across engineering teams
Basic Qualifications:
  • Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
  • At least 5 years of people management experience
  • At least 7 years of experience in all of the following:
    Software engineering and solution architecture Enterprise architecture and design patterns Cloud computing (AWS, Microsoft Azure, Google Cloud) Data architecture
Preferred Qualifications:
  • Master’s Degree in Computer Science or Software Engineering 10+ years of experience in all of the following:
    Software engineering and solution architecture Enterprise architecture and design patterns Web technologies (JavaScript, Type Script and SPA frameworks) Designing and building distributed HPC and ML systems Cloud computing (AWS, Microsoft Azure, Google Cloud) Data architecture 10+ years of professional experience coding in commonly used languages like Go, Java, JavaScript/Type Script, Python, Rust, C#, Scala 8+ years of experience with database and database management systems 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support 5+ years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization…
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