Backend Golang Engineer - System Tooling (AU)
DroneShieldAustralia3 days ago
Full-timeOther
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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 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 400 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 toolingBuild and extend the rfai-agent for real-time log and telemetry streaming from embedded devicesIntegrate device and model metadata into observability platforms (e.g. Kibana, Elasticsearch)Support the development of deployment automation tools for edge devicesContribute to improving Dagster-based pipelines for model ingestion and testingQualifications, Experience and Skills
Proven experience developing backend services in Go (Golang)Strong foundational knowledge of Linux systems, networking, and system-level debuggingExperience with infrastructure components such as systemd, Bash scripting, and process monitoringFamiliarity with observability platforms and structured logging (e.g. ELK stack)Comfortable working in containerised environments and with CI/CD pipelinesBonus: Experience with infrastructure-as-code tools (e.g. Terraform, Ansible) or data pipeline tools (e.g. Dagster)
Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.
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 400 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 toolingBuild and extend the rfai-agent for real-time log and telemetry streaming from embedded devicesIntegrate device and model metadata into observability platforms (e.g. Kibana, Elasticsearch)Support the development of deployment automation tools for edge devicesContribute to improving Dagster-based pipelines for model ingestion and testingQualifications, Experience and Skills
Proven experience developing backend services in Go (Golang)Strong foundational knowledge of Linux systems, networking, and system-level debuggingExperience with infrastructure components such as systemd, Bash scripting, and process monitoringFamiliarity with observability platforms and structured logging (e.g. ELK stack)Comfortable working in containerised environments and with CI/CD pipelinesBonus: Experience with infrastructure-as-code tools (e.g. Terraform, Ansible) or data pipeline tools (e.g. Dagster)
Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.
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