Senior Golang Engineer, Data Processing
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Job Description
Senior Golang Engineer building high-throughput Go pipelines for Litmus, whose platform turns industrial machine data into usable real-time AI infrastructure. Owning streaming services across cloud and edge environments.
Responsibilities:
- Design and build high-performance Go data-processing services handling real-time telemetry at industrial scale
- Own data pipelines end-to-end, from ingestion and transformation to routing and delivery
- Optimize throughput, latency, and reliability in systems that cannot afford to drop data
- Build streaming integrations using messaging systems such as NATS and MQTT
- Collaborate with platform and edge teams to ship features for cloud and constrained edge environments
- Implement observability so issues surface before customers experience them
- Write clean, testable Go code with proper error handling
- Conduct thoughtful code reviews and raise engineering standards
Requirements:
- 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 experience 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 such as NATS, Kafka, MQTT, or similar
- Solid understanding of databases, including time-series or NoSQL stores
- Track record of owning critical production services and resolving problems through completion
- Experience with industrial protocols such as OPC-UA or MODBUS, or IoT/edge computing experience
- Familiarity with InfluxDB or TimescaleDB
- Experience with Prometheus, Grafana, or Datadog
- Cloud-native development experience on AWS, GCP, or Azure
- Must not require visa sponsorship; Litmus does not offer visa sponsorship at this time
Benefits:
- Real impact on product and company trajectory
- Ownership and visibility in a growth-stage company
- Collaborative, curious, low-ego culture
- Opportunity to build infrastructure powering industrial AI
- Work on real customer production systems
- Collaboration with experienced operators, engineers, and leaders
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