Senior Backend Software Engineer, Platform Engineering, Services Data Science & Analytics

What you'll do

• Own core platform services end-to-end, from API design and query routing to caching and data lineage.
• Collaborate with engineering and data teams on architecture for a scalable, durable analytics foundation.
• Influence platform strategy, mentor engineers, and help drive the technical roadmap.

What they ask for

• Expert proficiency in Python or Node.js/TypeScript, including async programming, type safety, and framework-level development.
• Experience designing and operating distributed systems with strict reliability and latency SLAs, and building production-grade backend API services.
• Experience with API and service-to-service communication, multi-layer caching, and distributed or high-performance data stores.
• Proficiency with Kubernetes and observability practices; BS in Computer Science, Engineering, or related field, or equivalent professional experience.

Nice to have

• Experience with data catalog, metadata, or lineage systems; familiarity with Apache Iceberg or other open table formats.
• CI/CD pipeline experience, AI/ML infrastructure or LLM-powered platform integrations, or an MS in a related field.

Pay

$184,700 and $324,800 USD base salary; $175,000 and $308,500 USD base salary

Tools

Python, Node.js/TypeScript, FastAPI, Express, REST, gRPC, GraphQL, Kubernetes

AI focus

Preferred: familiarity with AI/ML infrastructure or experience integrating LLM-powered capabilities into platform services.