Who is Litmus
Litmus is building the data foundation that powers industrial AI.
AI doesn’t work without real-world, contextualized data - Litmus makes that data usable. As AI adoption accelerates, most industrial environments still can’t access or use their operational data. We solve that gap.
We’re a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge. Our platform sits at the intersection of edge computing, AI, and industrial operations, enabling some of the world’s largest companies to run operations in real time, reduce downtime, and optimize production.
Backed by leading investors and trusted by global manufacturers and partners like Google, Microsoft, Dell, Oracle, and Mitsubishi, Litmus is powering the shift toward software-defined manufacturing.
Why join Litmus
Build the infrastructure that makes industrial AI possible
AI is moving beyond the cloud and into the physical world. At Litmus, you’ll build the infrastructure that enables real-time data to power AI and machine learning systems in production environments.
Work on problems where software meets the real world
Most AI systems fail without access to real-world data. You’ll build the layer that makes them viable in production. We solve challenges at the intersection of distributed systems, real-time data, and industrial constraints — where reliability, scale, and performance are non-negotiable.
Have real impact, fast
You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility, and the ability to shape both product and company as we scale.
Join a high-performance team
We’re building a team that holds a high bar and pushes each other to improve. You’ll work alongside experienced operators, engineers, and leaders who have done this before and are building again at scale. We hire people who take ownership, move quickly, and care about outcomes. No passengers.
Our culture
At Litmus, the team is collaborative, curious, and low ego. People are scrappy, take ownership, and look for ways to make an impact. We value empathy just as much as execution, whether that’s in how we build, how we communicate, or how we support each other.
We’re a growing company, so things move quickly and not everything is perfectly defined. If you enjoy figuring things out, working closely with others, and making steady progress, you’ll do well here.
Role Summary
Our 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