Purple Drive
Senior Software Engineer — Data Layer Automations (Rust, Node & GraphQL)
Six-month hybrid senior engineering role in Sunnyvale, CA owning the path to production for a federated GraphQL data layer: building CI/CD pipelines, quality gates, and progressive rollouts for a Rust-based federation router, while also writing Rust plugins and Node/TypeScript coprocessors, CLIs, and developer tooling.
- Compensation
- Not disclosed
- Location
- Sunnyvale, CA, USA
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 6+ years of software engineering experience, including significant time building and operating production backend or platform systems
- Hands-on experience designing and owning CI/CD pipelines for production services (Rio or comparable: GitHub Actions, Buildkite, Jenkins, GitLab CI, Tekton, Argo)
- Production experience writing Rust and working understanding of the Rust toolchain: Cargo workspaces, features, cross-compilation, and build performance
- Strong Node.js / TypeScript skills for building services, tooling, and automation
- Solid experience with GraphQL APIs — schema design, resolvers, and how schema changes affect clients
- Experience with containers and orchestration (Docker, Kubernetes) plus deployment strategies such as canary, blue/green, and feature flags
- Comfort owning services in production: observability, SLOs, and incident response
Full description
**Job Title: "Senior Software Engineer — Data Layer Automations (Rust, Node & GraphQL)Location: Sunnyvale, CA
Duration: 6 months Hybrid role**
Role Description:
- About the role We run a federated GraphQL data layer that composes many back-end services into a single, typed API powering large-scale, consumer-facing web experiences.
- At its center is a Rust-based federation router; around it sit dozens of subgraphs, many written in Node/TypeScript, owned by teams across the org.
- We're looking for a senior engineer who writes production code and builds the automation that carries it safely to production.
- You'll own the pipelines for the router and its plugins end to end — build, test, benchmark, schema checks, and progressive rollout — and you'll contribute directly to the Rust and Node code those pipelines ship.
- If you believe the path to production is itself a piece of software worth engineering well, this role is for you. What you'll do Engineer the router's path to production.
- Design, build, and own the CI/CD pipelines for our GraphQL router on Rio (our internal CI/CD platform) — from Rust compilation, cross-target builds, and container images through automated testing and progressive deployment.
- Make router builds fast and reproducible: Cargo workspace and dependency caching, incremental and parallel builds, artifact signing, versioning, and provenance.
- Build in quality gates that matter for a latency-critical service: unit and integration suites, performance benchmarks with regression detection, fuzzing, dependency and vulnerability scanning, and config validation.
- Automate canary and staged rollouts with health- and SLO-based promotion, fast rollback, and zero-downtime config and binary updates across environments. Build the router and its extensions.
- Write and maintain Rust code in the router — custom plugins, coprocessors, auth, caching, telemetry, and query-governance features — alongside the core router team.
- Build the Node/TypeScript tooling and services that surround it: coprocessors, CLIs, test harnesses, and internal developer tools. Keep the graph safe to change. Own schema delivery workflows: automated composition, breaking-change and operation checks against real traffic, schema registry integration, and gated publishing for every subgraph.
- Provide paved-path pipeline templates so partner teams can build, test, and ship Node subgraphs onto the graph with minimal friction and strong guardrails. Raise the bar on developer velocity.
- Measure and improve build times, pipeline reliability, flaky-test rates, and lead time to production.