Note: The job is a remote job and is open to candidates in USA. R Systems is seeking a Senior Rust Engineer to design, build, and ship production Rust services for a large user base. The role involves owning features in the cloud GraphQL API, evolving concurrent systems, and contributing to shared foundational crates, while ensuring high quality and performance under load.
Responsibilities
- Design, build, and ship production Rust services end-to-end — from Postgres schema and migrations up through GraphQL and gRPC APIs — for tens of thousands of users, with care for backwards compatibility and gated rollout of behavior changes
- Own features in our cloud GraphQL API: async-graphql schema and resolvers, sqlx queries and migrations (raw, compile-checked SQL — no ORM), relationship-based authorization (Ory Keto), search (Meilisearch), and messaging (NATS/JetStream)
- Build and evolve async, concurrent systems with Tokio — services, background workers, and streaming APIs — that stay correct under load and observable in production
- Work across gRPC / Protobuf service boundaries (Tonic/Prost), treating published surfaces as backwards-compatibility contracts
- Contribute to shared foundational crates with wide blast radius, keeping changes narrow and well-tested
- Extend Strada's peer-to-peer architecture — iroh/QUIC transport, WebRTC signaling, TURN, NAT traversal — where media transfers directly between machines
- Depending on your interests and the team's needs, go deep on the GStreamer media pipeline (custom elements, pro codecs, low-latency streaming) or the cloud and data plane (API, storage, search, auth)
- Instrument everything (OpenTelemetry, Datadog, Prometheus) and take part in CI/CD on AWS EKS (Terraform/Terragrunt, GitHub Actions)
Skills
- Strong production Rust — ownership, borrowing and lifetimes, traits, error handling, and a type system used well
- Solid async Rust (Tokio or equivalent): tasks, channels, streams, cancellation, and reasoning clearly about concurrency correctness
- Experience designing and operating backend services and their APIs (HTTP / GraphQL / gRPC)
- Production experience with relational databases and SQL (PostgreSQL preferred), including schema design and migrations — comfortable with raw SQL, not just an ORM
- A solid grasp of auth fundamentals — OAuth2 / JWT, and RBAC or relationship-based access control
- At home in a command-line, cloud-native workflow (Docker, CI/CD, some cloud infrastructure exposure), collaborating and reviewing code in a sizable codebase
- GRPC / Protobuf on the Rust stack (Tonic/Prost), with schema-evolution and backwards-compat discipline
- Async-graphql or other production GraphQL server experience
- Sqlx specifically (compile-time-checked queries, offline mode) and Postgres performance tuning
- Ory (Keto/Oathkeeper) or other Zanzibar-style authorization; Auth0
- Cloud-native ops — AWS (EKS, ECR, S3), Kubernetes, Terraform/Terragrunt, NATS, Meilisearch
- Cross-language FFI (swift-bridge, Rust ↔ Swift/TS bindings) — handy, since our clients embed Rust
- Nix/devenv reproducible environments and just-based task runners
- Observability tooling (OpenTelemetry, Datadog, Prometheus/Grafana/Tempo)
- A background in film, video, or post-production, or other professional media workflows
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