Job Title: Tech Lead - Golang / AWS (Serverless Architecture)
Location: Mclean, VA
Duration:6 months
Team: Card Core Data Product Interface
About the Role
We are seeking a hands-on Tech Lead with strong technical depth and leadership experience to join our growing platform engineering team. This is a key role focused on greenfield development of our Data Product Interface a foundational layer providing secure, performant access to enterprise card data. As a Tech Lead, you'll guide a team of talented engineers, contribute to system design and architecture decisions, and roll up your sleeves for critical coding tasks. You will balance technical leadership, code quality, and team mentorship, working closely with both senior and junior engineers.
Key Responsibilities
Lead design and implementation discussions for new features in a highly scalable, API-based platform.
Write high-quality, well-tested code in Golang, especially around performance-critical and concurrent systems.
Participate in and lead code reviews, ensuring technical standards, best practices, and architectural alignment.
Collaborate with product managers, architects, and engineers to refine features and shape the product roadmap.
Mentor engineers, fostering technical growth and collaboration.
Troubleshoot performance issues, race conditions, and system reliability problems.
Advocate for best practices in CI/CD, observability, and automation within the AWS environment.
Tech Stack
Languages: Golang (primary), some Python/TypeScript (desirable)
Cloud: AWS (Serverless-first)
Services: Fargate, Lambda, DynamoDB, Route53, API Gateway, ALB
Tools: GitHub, Terraform (IaC), CloudWatch, CI/CD tools
What We re Looking For
5+ years of backend software development experience, with 2+ years in technical leadership or team lead roles.
Deep hands-on experience with Golang and building scalable, reliable APIs.
Solid knowledge of AWS serverless architecture, especially with Fargate, Lambda, and DynamoDB.
Proven ability to design robust, scalable systems and resolve concurrency and performance bottlenecks.
Experience mentoring engineers and driving collaborative technical decision-making.
Strong communication skills; able to clearly articulate complex issues to both technical and non-technical audiences.
Familiarity with data platforms, access layers, and high-throughput systems is a plus.
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