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Strobe Power

Site Reliability Engineer

DevOps / SRE

Employment

Not stated

Level

Not stated

Category

DevOps / SRE
Not doable from Austria

Country assessment

Not doable from Austria because it is tied to an office and never says it can be done remotely.

Our assessment is guidance. Confirm arrangements with the employer.

Skills mentioned in this posting

PythonRustTerraformAWSLinuxCI/CDObservability

Job description

Strobe is building the world's largest power plant: not a single site, but a distributed fleet of buildings, batteries, EVs, and generators that buy and sell power in real time across wholesale energy markets. Keep a fleet of power plants online. Own reliability across the cloud platform, the control room, and the hardware in the field, for systems where downtime means missed grid events and real dollars.

What you'd own Uptime and latency of the dispatch path, from the cloud decision to the command on site Observability: metrics, logs, and alerts that page on real impact and nothing else On-call, incident response, and postmortems for systems that control physical equipment AWS infrastructure as code (Terraform), CI/CD, and safe deploys Edge fleet reliability: connectivity, OTA updates, and remote diagnostics (balena, containerized runtimes) Network links to utilities and grid operators (VPNs, tunnels, DNP3) and how they fail Capacity, cost, and resilience of the data and control platforms Strong fit if you have Production SRE or infrastructure experience on AWS Terraform at scale (modules, remote state, multi-workspace patterns) Strong Linux, networking, and debugging fundamentals Alerting and on-call that people trust, because you built it Python, Rust, or Go for tooling Bonus points Edge or IoT fleets, industrial protocols, or OT networks Site connectivity: SD-WAN, VPNs, cellular failover Energy or other safety-critical, real-time systems Stack: AWS / Terraform / Python / Rust / balena / Grafana / DNP3 / Modbus.

AI-agent-native monorepo with deep investment in agent-enabled engineering efficiency. Small team, high ownership, no layers.