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 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 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. 

About the role

DroneShield is seeking a Senior Software Engineer to join the Data Enablement team within the Sensors & Effectors organisation (Sydney).

The Data Enablement function is responsible for capturing, transforming, annotating, and serving high-quality RF datasets to support next-generation detection and disruption algorithm development. This team sits at the intersection of software engineering, data engineering, and real-world data operations.

This role will focus on building embedded data capture software and data platform capabilities to support operational data teams.

This role is ideal for a hybrid software/data engineer who thrives on solving complex engineering problems, enjoys end-to-end ownership, and is passionate about mentoring others.

Responsibilities, Duties and Expectations 

• Build embedded software to capture radio-frequency datasets and ingest RF recordings into on-premises data infrastructure
• Develop and maintain data transformation pipelines, data quality checks and APIs to deliver high-quality datasets to internal stakeholders
• Develop and promote testing frameworks, best practices, and design patterns
• Mentor junior engineers and contribute to a high-performing engineering culture
• Desirable: Support and improve database systems, including data migrations and user management

Who you are

• You are results-driven, reliable and take full ownership of your projects
• You take full ownership of technical projects and enjoy producing software that solves a customer need
• You have a can-do attitude and thrive in a fast-paced, hands-on environment
• You’re a team player and are passionate about mentoring junior engineers in the team

Qualifications, Experience and Skills 

• Bachelor’s degree in Computer Science, Software Engineering, Mechatronics, or a related technical field (or equivalent practical experience)
• 4+ years of experience as a Software Engineer or Data Engineer in production environments
• Strong proficiency in Python, plus at least one compiled language (Go or C++ preferred)
• Experience with Docker and environment management
• Experience working with Kubernetes, particularly in on-premises environments
• Strong experience with Git, CI/CD pipelines, and modern development workflows
• Experience designing and building APIs and backend services
• Experience writing technical design and architecture documentation

Desirable (Data & Platform Experience)

• Experience building and maintaining data pipelines and orchestration systems (e.g. Dagster, Airflow)
• Solid understanding of data modelling and data warehousing concepts (e.g. incremental models, SCD Type 2)
• Experience working with SQL, NoSQL, and object storage systems
• Familiarity with data governance, data quality, and lineage concepts
• Experience with modern data platforms (e.g. Dagster, Snowflake, Databricks)
• Experience supporting data annotation or human-in-the-loop workflows

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