Backend Golang Engineer - System Tooling (AU)

Work with cutting edge AI technology, making the world a safer and more secure place. DroneShield (ASX : DRO) offers an opportunity to solve some of world’s most challenging technical problems in therapidly growing counterdrone sector. Our customers are militaries, government agencies, airports, critical infrastructure, law enforcement and many others.

With one of the largest listed defence company market capitalisations in Australia, part of the ASX200 index, and having raised approximately $250m in 2024 alone, DroneShield is undergoing hypergrowth stage, fuelled by rapidly increasing use of drones for nefarious applications, from battlefield, to terrorism, to contraband delivery and commercial espionage.

This role is in the DroneShield Sydney headquarters in Sydney CBD. There are approximately 380 staff based in the 4,000sqm facility today, scheduled to grow to approximately 500 staff by end of 2026. Overseas on the ground presence includes Virginia (USA), Netherlands, Denmark, Mexico and Dubai, as well as distributors in over 70 countries globally.

About the role

We’re looking for a Backend Engineer with Go experience to help build critical tools and services used by our AI and RFAI systems. You will work on building embedded data streaming agents, working with embedded systems and FPGA-based ML, and observability integrations for devices deployed globally. Your work will be instrumental in automating model deployment, enabling real-time debugging, and improving operational visibility across our fielded RF sensing infrastructure.

You will be part of the AI Systems team , focused on increasing ML tooling capability, ML and data integrations, operational efficiency, automation, and observability across our AI teams and capabilities platform.

Responsibilities, Duties and Expectations

• Develop Greenfield data streaming client applications, and extend the functionality of API services to support AI model deployment, observability, and data tooling
• Build and extend the rfai-agent for real-time log and telemetry streaming from embedded devices
• Integrate device and model metadata into observability platforms (e.g. Kibana, Elasticsearch)
• Support the development of deployment automation tools for edge devices
• Contribute to improving Dagster-based pipelines for model ingestion and testing

Qualifications, Experience and Skills

Note for recruitment agencies : We do not accept unsolicited candidates from external recruiters unless specifically instructed.

Software Development - Sensors and Effectors

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