Peak Energy

Manufacturing Software Engineer

Burlingame, California · Full-time

Sponsorship not specifiedDetected 33 days ago

GoDistributed SystemsAWSKubernetesKafkaData EngineeringSAPERPSystems EngineeringPLCLeadershipCommunicationNetSuiteRenewable EnergySCADA

About the role

Engineer for high concurrency and high throughput - many stations and signals streaming simultaneously, with low-latency, backpressure-aware processing
Add observability - metrics, tracing, alerting - so service health and equipment connectivity are visible, not silent
Contribute to internal tooling and dashboards that surface production and quality data

Build Go services in a microservice architecture that acquire equipment data ( OPC-UA and other industrial protocols), normalize it, and publish it to MES and downstream consumers
Build and maintain the ERP/ PLM integration microservices that sync work orders, BOMs, routings, part/revision data, and as-built/genealogy records between the floor and enterprise systems
Build event-driven data pipelines feeding a cloud data lake for production and quality analytics
2-3 years of professional software engineering experience building production backend / systems software

Proficiency in Go (or a strong systems-language background with demonstrated ability to ship in Go)

Direct experience with OPC-UA client/server implementations and industrial data acquisition at scale
Experience with event streaming infrastructure (Kafka, Kinesis, NATS, etc.) and time-series data
Familiarity with traceability/genealogy systems in a quality-driven manufacturing context
AWS / Kubernetes ( EKS ) operational experience
Background in batteries, energy storage, or other hardware-adjacent manufacturing
Speed Through Focus
Move fast but understand why.
Focus on the goal, don't sacrifice quality.

This listing is sourced directly from Peak Energy's careers page and normalized into a canonical job model.