N-iX is looking for Senior Python Engineer to join our team. 

In this role, you will design real-time telemetry pipelines, integrate with datacenter power and compute systems, and implement control and optimization logic that dynamically adjusts workloads based on grid and infrastructure conditions. This role bridges IT and OT environments - turning raw operational data into safe, reliable, production-grade control systems.

As an early engineering hire, you’ll shape system architecture, own projects end-to-end, and work closely across teams to translate real-world constraints into scalable software. 

Key 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 
• 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.
• English: At least Upper-intermediate

Will be a plus

• 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.
• Experience with Rust, Go or C/C++.