Own the full lifecycle of new features and systems — from architectural design through deployment, iteration and maintenance
Build and maintain high-performance backend services in Go
Design, query, and optimize SQL Server databases at scale
Architect and manage AWS infrastructure across our core stack (RDS, Lambda, API Gateway, S3, CDK, and more)
Build and maintain data engineering workflows — moving, transforming, and making sense of data reliably at scale
Collaborate directly with leadership to translate product ideas into technical solutions
Identify and address technical debt, scalability bottlenecks, and reliability risks before they become problems
Leverage AI and LLM tooling as a force multiplier — you treat these tools as a core part of how you work, not an afterthought

Requirements

5+ years of professional software engineering experience
2+ years of production experience with Go
3+ years of hands-on AWS experience (RDS, Lambda, API Gateway, S3, CDK, or similar)
2+ years working with SQL Server or comparable relational databases in a production environment
Demonstrated experience on a team of fewer than 10 engineers, or a role where individual ownership was the norm
Strong proficiency in Go — you've written production Go and are fluent in its idioms
Solid SQL Server skills — query optimization, schema design, and understanding what's happening under the hood
AWS fluency across the standard toolkit — RDS, Lambda, API Gateway, S3, CDK; you know how to pick the right service and build something that holds up
Comfort with data engineering patterns — pipelines, data movement, transformation logic, and keeping things reliable when data is messy
Hands-on experience with AI/LLM tooling — whether building integrations, using AI in your workflow, or both; you're already thinking this way
Experience thriving on a small, high-ownership team — you're used to wearing multiple hats, moving fast, and not waiting for someone else to unblock you
A track record of working independently — you can take a vague requirement, ask the right clarifying questions, and ship something great

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GoSQL ServerAWSRDSLambdaAPI GatewayS3CDKdata engineeringquery optimization

Soft Skills

collaborationownershipindependenceproblem-solvingcommunicationadaptabilityinitiativeteamworkscalability awarenessreliability focus