Senior Golang Engineer, Data Processing

Overview

Senior Golang Engineer on Litmus's Data Processing team, building the high-throughput, low-latency services that ingest, transform, and route real-time industrial telemetry at scale.

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 need

• 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

Details

• Location: Canada, remote