Backend Systems Engineer (Rust/Go)

About

You will own core backend services that ingest, normalize, and serve geospatial intelligence for ML and analytics workloads. The role focuses on throughput, fault tolerance, and memory-safe system design under demanding data volumes.

Responsibilities

• Build and operate distributed ingestion and transformation services for EO datasets.
• Design low-latency APIs and internal RPC contracts for mission-critical downstream systems.
• Optimize geospatial storage and query paths for reliability under burst traffic and heavy compute windows.
• Implement observability, failure handling, and rollback-safe deployment patterns.
• Collaborate with science and ML teams on production data contracts and quality guarantees.

Requirements

• Strong systems programming background in Rust and/or Go in production environments.
• Experience building distributed services with gRPC and container-native infrastructure.
• Proven ability to profile bottlenecks, reduce latency, and optimize memory behavior.
• Hands-on experience with data-intensive backends and operational incident response.
• Clear engineering judgment around tradeoffs in consistency, availability, and cost.

Nice to have

• Experience with Kubernetes operators and production observability stacks.
• Practical knowledge of PostGIS for geospatial indexing and query acceleration.
• Background in EO or geospatial product pipelines.