Senior Control Engineer

At Voltify, we are building the next generation of rail - battery locomotives that fast charge autonomously and dynamically through a dedicated self sustained microgrid network.

We are bringing back the power to the industry and eliminating the dependency on fossil fuels. Lowering rail main expense - energy - by more than 20%.

This is over $3B yearly just in North America alone.

We are already working with some of the largest global rail companies with over $50M in contingent orders.

We are looking for a hands-on Senior Control Engineer to lead the development and operation of complex microgrid control systems that integrate with our Electric Locomotive charging infrastructure.

In this role, you will own the full control stack — from field-level device integration through SCADA development to cloud-connected analytics and optimization.

You will design and implement sophisticated control logic using Ignition by Inductive Automation, integrating diverse energy assets (solar, BESS, grid interconnects, chargers) into a unified, reliable control plane. Your work will also extend into software engineering — building cloud backends, data pipelines, and internal tools that support our real-time energy management platform.

Your systems will directly command physical hardware, optimizing energy flows and enabling the next generation of rail transportation. This is a high-impact role requiring deep control systems expertise combined with modern software engineering capabilities.

We operate with extreme ownership and speed. If you want a 9-to-5 where you wait for tickets, this isn't it. If you want to build the future of rail energy, read on.

• →Design, develop, and maintain microgrid SCADA/HMI systems in Ignition (scripting, alarming, reporting, tag architecture, and gateway administration).
• →Architect and implement control logic for complex microgrid systems — managing solar inverters, battery energy storage systems (BESS), grid-tie interconnections, and EV/locomotive chargers.
• →Integrate diverse industrial hardware using protocols such as Modbus TCP/RTU, OPC-UA, DNP3, and CANbus.
• →Implement the bi-directional communication pipeline (Cloud ↔ Edge) via MQTT, ensuring data integrity and handling connectivity edge cases.
• →Develop Python-based backend services, converting optimization model outputs into actionable commands for field devices.
• →Build internal management dashboards to monitor system health, energy flows, and operational metrics.
• →Support cloud infrastructure and data pipelines on AWS (DynamoDB, Lambda, IoT Core) to complement edge control systems
• →Travel occasionally for on-site commissioning, integration testing, and troubleshooting at deployment locations