Sr. Rust Engineer
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Role details
Tech stack
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Requirements
· 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.
Where you could make a big impact
· These are areas you can own and go deep on - any one is a way to have outsized impact, and a couple can be a specialty in their own right.
· Real-time and networking systems - WebRTC (SDP/ICE/TURN), QUIC, NAT traversal, or libraries like iroh.
· Media and streaming - GStreamer, professional video codecs (ProRes, RED R3D, Blackmagic RAW), AVFoundation / VideoToolbox, low-latency pipelines.
· Systems-level / OS work - daemons and background services (launchd / Windows services), Unix domain sockets and named pipes, virtual filesystems (NFS / FSKit / WinFsp), caching, and content addressing.
Nice to have / bonus
· 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, PrometheGrafana/Tempo).
· A background in film, video, or post-production, or other professional media workflows.
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