Note: The job is a remote job and is open to candidates in USA. Clip Automation is an Industry 4.0 company providing a SaaS platform that connects people, processes, and machines through IoT, AI, and machine data. The Staff Engineer will own the architecture of distributed systems that reliably move real-time industrial telemetry from edge devices to the cloud, while setting technical direction, writing critical-path code, and mentoring engineers.
Responsibilities
- Architect, build, and operate distributed systems that ingest, process, and serve real-time telemetry from industrial IoT devices at scale
- Own the edge-to-cloud data path: device connectivity, edge gateways, message brokers, stream processing, and storage
- Design for reliability in hostile environments — intermittent connectivity, store-and-forward, back-pressure, out-of-order and duplicate data
- Drive scalability and performance: throughput, latency, horizontal scaling, multi-tenant isolation, and cost efficiency
- Define and champion observability (metrics, tracing, logging, alerting) and SLOs for the platform
- Lead design reviews and write technical specs that shape the roadmap; make and document key build-vs-buy and architectural decisions
- Partner with Product, Data, Network, and Frontend teams to deliver end-to-end features — from machine signal to dashboard
- Mentor engineers, set coding and operational standards, and lead incident response and postmortems
- Thrive in a startup: wear many hats and grow with the company
Skills
- Bachelor's degree in Computer Science or related field, or equivalent experience
- 10+ years of software engineering experience, including 4+ years designing and operating large-scale distributed systems in production
- Deep expertise in one or more of: Go, Java, Scala, Rust, C++, or Python
- Hands-on experience with streaming and messaging systems such as Apache Kafka/Confluent, MQTT, NATS, or Kinesis
- Strong grasp of distributed systems fundamentals — consistency, partitioning, replication, fault tolerance, and exactly-/at-least-once semantics
- Experience with time-series data and high-throughput storage (e.g., TimescaleDB, InfluxDB, ClickHouse, Cassandra)
- Production experience on AWS (or another major cloud) with containers and orchestration (Docker, Kubernetes)
- A track record of leading cross-team technical initiatives and mentoring engineers
- Industrial IoT protocols: OPC UA, Modbus, MQTT Sparkplug B, EtherNet/IP
- Edge computing frameworks (AWS IoT Greengrass, Azure IoT Edge, K3s)
- Stream processing with Flink, Spark Streaming, or Kafka Streams
- Video streaming or media pipelines
- Manufacturing, production, or operations environment experience
- Bay Area candidates are strongly preferred
Benefits
- Equity
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- 401(k)
- Remote accepted
Company Overview
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