Senior Software Engineer, Data Layer

What you'll do

• Own and deliver projects end to end, from scoping and system design through implementation, rollout, and production validation, driving measurable progress on the team's highest-priority initiatives.
• Design and build high-reliability, low-latency systems serving millions of users, tackling challenges like caching, upstream service optimization, and efficient connection management at scale.
• Build and improve the API framework and tooling that hundreds of engineers depend on, making it fast and easy for teams across the company to build, test, and ship independently.
• Drive operational excellence across T0 services: own SLOs, improve observability, lead incident response, and reduce operational toil so the team can invest in high-leverage work.
• Partner cross-functionally with product engineering teams to design API schemas, support service launches, and ensure the platform evolves to meet their needs.
• Set the technical bar through code and design reviews, mentor engineers across the team, and contribute to architectural direction.

Required Skills and Experience

• 5+ years of professional engineering experience with demonstrated ownership of complex, production-grade distributed systems.
• Deep proficiency in backend languages (Go, Java, or similar) with hands-on experience designing microservices, API platforms, and high-availability systems.
• Track record of delivering projects end to end, including scoping, architecture, implementation, monitoring, and iteration, in environments where reliability and performance are non-negotiable.
• Experience decomposing complex systems into clean APIs and abstractions adopted by multiple consuming teams, with comfort owning on-call responsibilities and driving incident response across multi-service architectures.
• Demonstrated ability to align technical decisions with cross-functional stakeholders, translating platform capabilities into actionable plans with frontend engineers, product teams, and platform consumers.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.