Backend Golang Engineer - System Tooling (AU)
DroneShieldAustralia10 hours ago
Full-timeEngineering, Information Technology
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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 the rapidly growing counterdrone sector.
Our customers are some of the most demanding in the world, including militaries, government agencies, airports, critical infrastructure, law enforcement and many others. The counterdrone sector is rapidly changing, with DroneShield being in an arms race against state-backed drone manufacturers globally.
With one of the largest listed defence company market capitalisations in Australia, now part of the ASX200 index, DroneShield is experiencing a period of hypergrowth. Revenue has surged from A$57 million in 2024 to over A$217 million in 2025, representing growth of more than 400% year-on-year, with record profitability and cashflow. The total addressable global market for counterdrone is assessed at approximately $100 billion, and is currently at the nascent stage with much of the growth still to come, with DroneShield well positioned as a global market leader, and the only public listed pure-play business in this sector.
The company has grown from 11 employees in 2017 to over 450 staff globally today, and is on track to reach around 550 by the end of 2026. This expansion includes investment of over A$50 million annually in R&D, a global pipeline exceeding A$2.5 billion, and continuous scaling of production capacity to meet accelerating demand.
The role is based at DroneShield’s central Sydney headquarters. Overseas on-the-ground presence includes Virginia (USA), Netherlands, Denmark, Mexico and Dubai, as well as distributors in over 70 countries worldwide.
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
Our customers are some of the most demanding in the world, including militaries, government agencies, airports, critical infrastructure, law enforcement and many others. The counterdrone sector is rapidly changing, with DroneShield being in an arms race against state-backed drone manufacturers globally.
With one of the largest listed defence company market capitalisations in Australia, now part of the ASX200 index, DroneShield is experiencing a period of hypergrowth. Revenue has surged from A$57 million in 2024 to over A$217 million in 2025, representing growth of more than 400% year-on-year, with record profitability and cashflow. The total addressable global market for counterdrone is assessed at approximately $100 billion, and is currently at the nascent stage with much of the growth still to come, with DroneShield well positioned as a global market leader, and the only public listed pure-play business in this sector.
The company has grown from 11 employees in 2017 to over 450 staff globally today, and is on track to reach around 550 by the end of 2026. This expansion includes investment of over A$50 million annually in R&D, a global pipeline exceeding A$2.5 billion, and continuous scaling of production capacity to meet accelerating demand.
The role is based at DroneShield’s central Sydney headquarters. Overseas on-the-ground presence includes Virginia (USA), Netherlands, Denmark, Mexico and Dubai, as well as distributors in over 70 countries worldwide.
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
- Proven experience developing backend services in Go (Golang)
- Strong foundational knowledge of Linux systems, networking, and system-level debugging
- Experience with infrastructure components such as systemd, Bash scripting, and process monitoring
- Familiarity with observability platforms and structured logging (e.g. ELK stack)
- Comfortable working in containerised environments and with CI/CD pipelines
- Bonus: Experience with infrastructure-as-code tools (e.g. Terraform, Ansible) or data pipeline tools (e.g. Dagster)
Key Skills
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