Systems Development Engineer

Applicants must be Australian citizens and hold or be eligible to obtain an Australian Government Security Clearance with the ability to successfully complete an Organisational Suitability Assessment. For more information regarding security clearances please visit (https://www.agsva.gov.au/). The AWS Region Services team combines AWS global cloud leadership with Australian security expertise to deliver highly secure, scalable environments for sensitive workloads. We’re creating innovative ways to use cloud computing, artificial intelligence, and machine learning while maintaining the highest standards of security and operational excellence. The Engineering organisation within Region Services is structured across core capability pillars: Compute & Machine Learning, Security Identity & Compliance, Storage & Databases, and a growing capability domain. Collectively these pillars encompass a team of varying technical skillsets, including Engineers; Technical Program Managers and Subject Matter Experts, organised into focused sub-teams. This is an opportunity to make a lasting impact on Australia’s digital future. You’ll work with AWS services, implement innovative solutions, and help customers succeed in their most important missions. We’re committed to helping our builders grow through continuous learning, mentoring, and collaboration with industry experts. Are you ready to build the future of secure cloud computing in Australia? Key job responsibilities - Support the refinement of system requirements, participate in the development and delivery of operability-related features such as system health monitoring, diagnostics, repair, and other self-healing automation - Develop or further existing application and system management tools and processes that reduce manual efforts and increase overall efficiency - Adapt and improve operations management systems and processes to accommodate rapid and increasing growth in systems and traffic - Participate in the design and execution of production acceptance tests and new hardware evaluations - Monitor the health of the fleet, automating system health, maintenance tasks, and reporting systems as needed - Participate in “on-call” rotations to resolve incidents occurring out-of-hours. A day in the life Your morning begins with a glance at the fleet health dashboard — built by you, refined by you, trusted by the team. Overnight, a self-healing automation you deployed last week detected and resolved a disk utilisation issue across twelve hosts without triggering a single page. You smile, note the metrics, and move on. Mid-morning, you're writing code. A new service is preparing for production acceptance, and you're developing the health monitoring and diagnostic tooling that will give the team visibility from day one. You design the checks to be comprehensive but efficient — catching real problems without generating noise. You write tests, validate against a staging environment, and open a pull request. After lunch, you tackle a scaling challenge. Traffic patterns have shifted, and one of your reporting systems is approaching its throughput limits. You refactor the data pipeline, implement a more efficient aggregation strategy, and validate that it handles three times the current load without breaking a sweat. This is the kind of forward-thinking engineering that keeps the platform ahead of its growth curve. Later, you pair with a teammate on a new hardware evaluation. Together, you design acceptance tests that will stress the hardware under realistic conditions, measuring performance, reliability, and failure modes. Your test framework is reusable — next time a new hardware variant arrives, the team can evaluate it in hours rather than days. Before wrapping up, you review an alert that fired during your on-call shift last week. The incident was resolved quickly, but you see an opportunity: a new self-healing automation that would handle this class of issue automatically. You