Software Engineer - Datacenter/Power Systems

About the role

This role involves designing real-time telemetry pipelines, integrating with datacenter power and compute systems, and implementing control and optimization logic that dynamically adjusts workloads based on grid and infrastructure conditions. The role requires bridging IT and OT environments, turning raw operational data into safe, reliable, production-grade control systems.

Responsibilities

• Build software modules that interact with datacenters, on-site industrial power systems and the electrical grid
• Architect and implement data ingest pipelines that collect, normalize, and persist high-frequency telemetry from power meters, PDUs, UPS systems, cooling infrastructure, and compute hardware
• Design fault-tolerant integration layers between IT systems (cloud APIs, databases, orchestration platforms) and OT systems, handling protocol translation and data model definition and mapping
• Ensure high safety, reliability, and correctness when interacting with real-world energy assets and critical facilities — including behavior in degraded, disconnected, or split-brain network states
• Collaborate across teams to deliver end-to-end solutions from edge device to control plane

Requirements

• 7+ years of software engineering experience, with strong proficiency in Python and/or Rust, Go or C/C++
• Hands-on experience building telemetry ingest pipelines or distributed systems that handle high-volume, time-series data
• Familiarity with at least one async messaging system: Kafka, RabbitMQ or equivalent
• Exposure to IT or OT systems (SCADA, EMS, BMS, DCIM) and understanding of how data flows between them

Preferred requirements

• Direct experience with industrial telemetry protocols: Modbus TCP/RTU, DNP3, OPC-UA, BACnet, or SNMP
• Familiarity with time-series databases (InfluxDB, TimescaleDB, Prometheus) or industrial historian platforms (AVEVA PI / OSIsoft, Ignition)
• Experience with Kubernetes, containerized deployments, or HPC job scheduling in datacenter environments
• Background in power systems, energy markets, microgrids, or datacenter infrastructure (power distribution, cooling, UPS, PDUs)
• Understanding of control system design patterns: PID loops, state machines, setpoint control, or demand response logic
• Experience with edge compute runtimes or constrained environments where low-latency, reliable local execution matters independent of cloud connectivity
• Familiarity with optimization algorithms or energy management strategies (load shifting, peak shaving, curtailment) a plus