QA Software Engineer

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

counter-drone

sector.

Our customers

operate

in some of the most challenging and high-stakes environments in the world, including military

organisations, government agencies, airports, critical infrastructure operators, and law enforcement. Protecting airspace in these settings requires technology that performs under pressure and teams that understand

what’s

at stake. At DroneShield, employees work at the leading edge of

counter-drone innovation, helping to address real-world security challenges as drone threats

continue to evolve 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 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

counter-drone

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.

DroneShield is seeking a hands-on QA Software Engineer with experience in software system validation and exposure to AI/ML-driven and sensor-integrated platforms. You will contribute to test execution, automation, and quality practices across Linux-based systems that integrate software services, firmware components, intelligent models, and sensors.

In this role, you will work closely with engineers across software, data, and DevOps teams to support end-to-end QA activities, including functional, integration, and regression testing.

The ideal candidate is a motivated team player who can plan and execute testing tasks independently, contribute to automation efforts, and continuously improve product quality within a collaborative, fast-paced environment.

• Design, execute, and maintain manual and automated tests across software components and integrated systems.

• Contribute to test automation frameworks and CI/CD pipelines under guidance from senior engineers.

• Plan and execute test cycles for software features, APIs, and integrated solutions.

• Perform hands-on testing, including functional, regression, and integration testing.

• Support field testing activities for embedded or integrated products when required.

• Collaborate with software engineers, data scientists, and DevOps teams to improve test coverage and product quality.

• Create and maintain test cases, test data, and test documentation in test management tools.

• Identify, log, and track defects, and assist in root-cause analysis.

• Actively participate in improving QA processes, standards, and test practices.

• 3–6 years of experience as a QA or Software Test Engineer.

• Solid understanding of software testing fundamentals across web, API, and backend systems.

• Working knowledge of Linux and test automation tools such as Selenium, Pytest, Playwright, or K6.

• Programming or scripting experience in Python, JavaScript, or Go.

• Hands-on experience with test management tools such as Xray, Zephyr, or QMetry.

• Exposure to CI/CD pipelines and basic containerisation concepts (e.g. Docker).

• Ability to plan and execute testing tasks independently with guidance when needed.

• Strong analytical, debugging, and communication skills.

• Exposure to embedded systems, IoT, or hardware-integrated software testing.

• Experience with non-functional testing, including performance or reliability testing.

• Familiarity with testing AI/ML-driven or data-intensive systems.

• Awareness of sensor-based systems or edge-device testing concepts.

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

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