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

As a Senior Software Engineer on the Services Data Science & Analytics Platform Engineering team, you will design, build, and operate the backend services that form the foundation of DS&A's data platform. This is high-stakes infrastructure work: every downstream consumer in DS&A and Services broadly depends on what you build. A great fit for this role is someone who thinks deeply about distributed systems, obsesses over reliability and performance, and takes pride in building platform primitives that other engineers love to build on. You will own core platform services end-to-end — from API design and query routing through caching infrastructure and data lineage — ensuring they perform reliably at the scale and latency demands of one of the world's largest analytics organizations. You'll collaborate closely with Data Engineering, Data Science, Machine Learning Engineering, Insight Engineering, and Core Engineering teams, making architectural decisions that directly shape the scalability and durability of DS&A's analytical foundation. Over time, you'll influence platform strategy, mentor engineers across the team, and help drive the technical roadmap for how DS&A manages, governs, and serves its data at scale. 8+ years of experience building and operating high-performance, production-grade backend API services Expert proficiency in Python or Node.js/TypeScript — including async programming, type safety, and framework-level development (FastAPI, Express, or equivalent) Demonstrated experience designing and operating distributed systems with strict reliability and latency SLAs Strong proficiency with API design and service-to-service communication patterns (REST, gRPC, GraphQL, or equivalent) Hands-on experience with multi-layer caching architectures (in-process, Redis, or similar) and cache invalidation strategies Extensive experience building systems that integrate with distributed and high-performance data stores — Snowflake, Trino, Spark, PostgreSQL, or equivalent Proficiency with Kubernetes, deployment, HPA, StatefulSets, namespace management Strong observability practice, Prometheus, Grafana, OpenTelemetry, or equivalent BS in Computer Science, Engineering, or related field, or equivalent professional experience Experience building data catalog, metadata, or lineage systems Familiarity with Apache Iceberg or other open table formats Experience with CI/CD pipeline design and enforcement gates in large engineering organizations Familiarity with AI/ML infrastructure or experience integrating LLM-powered capabilities into platform services MS in Computer Science, Engineering, or related field

For more details click Job Post.