Role SummaryOur Data Processing team turns raw telemetry from factory floors into clean, real-time streams that power everything our customers build on Litmus. We're looking for a Senior Golang Engineer to own the pipelines at the heart of it all: high-throughput, low-latency services that ingest, transform, and route industrial data at scale. If you love Go, think in streams, and want your code running in production across real factories worldwide, let's talk.
What You'll Do:- Design and build high-performance data processing services in Go that handle real-time telemetry at industrial scale
- Own data pipelines end-to-end, from ingestion and transformation to routing and delivery
- Optimize for throughput, latency, and reliability in systems that can't afford to drop data
- Build streaming integrations on top of messaging systems like NATS and MQTT
- Collaborate with platform and edge teams to ship features that work in both cloud and constrained edge environments
- Drive observability into everything you build so issues surface before customers feel them
- Write clean, testable Go code with proper error handling, and raise the bar through thoughtful code reviews
What You'll Have:Must Have- 5+ years of backend engineering experience with strong, hands-on proficiency in Go
- Experience building data pipelines, stream processing, or high-throughput distributed services
- Hands-on with Docker and Kubernetes in production environments
- Comfortable working in Linux/Unix environments day-to-day
- Solid grasp of concurrency, performance tuning, and memory management in Go
- Experience with messaging systems (NATS, Kafka, MQTT, or similar)
- Solid understanding of databases, including time-series or NoSQL stores
- A track record of owning critical production services and seeing problems through to resolution
Nice to Have- Experience with industrial protocols (OPC-UA, MODBUS) or IoT/edge computing
- Familiarity with time-series databases (InfluxDB, TimescaleDB)
- Observability tooling (Prometheus, Grafana, Datadog)
- Cloud-native development on AWS, GCP, or Azure
