Platforms Engineer (AU)
Pyrmont, Australia
DroneShield
DroneShield is a global provider of counterdrone defense solutions, specializing in C-UxS AI, RF sensing, AI/ML, Sensor Fusion, Rapid Prototyping & MIL-SPEC manufacturingWork with cutting edge 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 Electronic Warfare, Artificial Intelligence and Machine Learning, RF sensing, Sensor Fusion and distributed systems. Working with high profile customers across militaries, government agencies, airports, critical infrastructure, law enforcement and many others.
With one of the largest listed defence company market capitalisations in Australia 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 Pyrmont, Sydney. There are approximately 300 staff based in the 4,000sqm facility today, scheduled to grow to approximately 350 staff by end of 2025. Overseas on the ground presence includes Virginia (USA), Denmark, Germany and Dubai, as well as distributors in over 70 countries globally.
About the role
We’re looking for a Platforms Engineer to help scale and evolve the internal systems and tooling that support our engineering and AI workloads. As part of the Platforms team, you’ll focus on improving deployment pipelines, observability, and developer efficiency—driving measurable outcomes through DORA metrics. This role reports to the Platforms Lead.
Responsibilities, Duties and Expectations
- Build, evolve, and support DroneShield’s CI/CD systems and workflows.
- Define and manage infrastructure using Terraform (AWS, on-prem, and hybrid environments).
- Improve observability stack and telemetry coverage (metrics, logs, traces).
- Build tooling and automation that reduces cognitive overhead for internal engineering teams.
- Support rollout of security and compliance practices via automated guardrails.
- Contribute to self-service internal platform capabilities to improve team velocity.
- Track and improve DORA metrics: deployment frequency, lead time, MTTR, and change failure rate.
- Write automation and platform tooling in Go, Python, or TypeScript to support internal systems.
Qualifications, Experience and Skills
- Strong hands-on experience with CI/CD tooling (ideally GitLab, but flexible)
- Proficiency in Infrastructure-as-Code with Terraform and Cloudformation
- Programming or scripting experience with languages such as Python and Go.
- Experience with Bash and one or more configuration management tools (e.g. Ansible, SaltStack, Puppet, Chef).
- Knowledge of deploying and managing modern observability stacks (e.g. Prometheus, Grafana, Loki, OpenTelemetry).
- Experience with containerisation (Docker) and orchestration (Kubernetes).
- Experience applying DevSecOps principles and security best practices into pipelines and infrastructure.
- Ability to build and manage cloud and hybrid infrastructure (AWS preferred; Azure also valued)
- Demonstrated ability to contribute to a strong developer experience, with a mindset focused on reliability, simplicity, and speed
- Understanding of platform-as-product principles and commitment to improving internal tooling quality
Nice to have
- Experience with secrets management tooling (e.g. Vault, SOPS, AWS Secrets Manager).
- Familiarity with DORA metrics and how to drive improvement via automation and telemetry.
- Prior experience supporting MLOps workloads or integrating platform capabilities with ML systems.
- Experience operating in environments with high security or compliance requirements (e.g. defence, critical infrastructure).
Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible AWS Azure CI/CD CloudFormation Distributed Systems Docker Drones Engineering GitLab Grafana Kubernetes Machine Learning MLOps Pipelines Puppet Python Security Terraform TypeScript
Perks/benefits: Flex hours
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