Senior Golang Engineer, Data Processing

The role

You will design and build high-performance data processing services in Go. You will own data pipelines that ingest, transform, and route real-time industrial telemetry at scale.

What you will do

• Design and build high-performance data processing services in Go
• Own data pipelines end-to-end from ingestion to delivery
• Optimize for throughput, latency, and reliability
• Build streaming integrations on messaging systems like NATS and MQTT
• Collaborate with platform and edge teams
• Drive observability into built systems
• Write clean, testable Go code and perform code reviews

Required qualifications

• 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

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

About the company

Litmus is a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge. The company builds the data foundation that powers industrial AI.