
Highly Skilled Software Architectural Specialist
4 days ago
Senior Software Engineer - AI Powered Engineering
">We ensure a world-class engineering capability and are at the forefront of technology, using innovative and emerging technology to help customers.
">The team discovers, shelters, nurtures, and spreads best practice, both inside and outside the broader technology ecosystem.
">We contribute to education programs, innovation, research, and partnerships that set Australia up for success in a more digital future.
">This is a high energy team with a startup-like dynamic, partnering with our global engineering community to embed AI-assisted tools and capabilities that improve developer experience, delivery velocity, and software quality.
">Responsibilities:">- ">
- Collaborate on complex technical problems from discovery through implementation, delivering high-quality solutions.">
- Break down requirements into actionable engineering tasks; create clarity for delivery squads and stakeholders.">
- Run hands-on experiments with emerging AI/ML tooling; design evaluation frameworks, measure outcomes, and provide recommendations.">
- Build resilient components, SDKs, and service integrations that slot into pipelines, IDEs, and developer platforms.">
- Contribute to architectural discussions; propose improvements and role-model engineering standards and best practices.">
- Maintain codebases via active code reviews, robust testing, and clear documentation for knowledge sharing.">
- Work cross-functionally to align roadmaps, manage dependencies, and land changes with minimal disruption.">
- Mentor junior engineers and uplift AI literacy across squads; contribute to communities of practice.">
- ">
- Extensive experience in designing scalable, maintainable, and reliable software systems.">
- Practical knowledge of AI applied to software engineering workflows (e.g., code assist, test generation, knowledge retrieval), with an understanding of limitations and risks.">
- Proficiency in languages such as Python or C#, and experience building microservices on AWS and/or Azure.">
- Architectures: Microservices, event-driven patterns, REST/gRPC.">
- Cloud: AWS and Azure (e.g., Lambda/Functions, Containers/ECS/AKS).">
- Data: SQL, data pipelines, observability/telemetry.">
- DevSecOps: GitHub/GitLab/Azure DevOps, Actions/Pipelines, Terraform (IaC), SAST/DAST/SCA.">
- Strong influence: ability to review designs and code, set quality bars, and collaborate with stakeholders to solve business-critical problems.">
- A growth mindset and bias toward iterative experimentation—from idea to prototype to product—with clear metrics.">
- Proficiency in agile delivery and tooling such as Jira and Confluence.">
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