Senior Jobs in Australia

You’ll lead complex data initiatives, apply bestpractice engineering, automation and governance, and ensure data is accurate, reliable and ready for analytics and AI.‑quality data pipelines and products on AWS and/or Databricks. You’ll lead complex data initiatives, apply best‑practice engineering, automation and governance, and ensure data is accurate, reliable and ready for analytics and AI.

[Industry: Defense and Space Manufacturing | Type: Full-time | Level: Mid-Senior level] Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology.

Preferred Prior experience with data annotation, data quality, or evaluation systems. Show less [{"type":"people_also_viewed","href":"https://au..com/jobs/view/python-and-kubernetes-software-engineer-data-workflows-ai-ml-analytics-at-canonical-4284584629","jobId":"4284584629","label":"Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics"},{"type":"people_also_viewed","href":"https://au..com/jobs/view/data-scientist-masters-at-alignerr-4369438517","jobId":"4369438517","label":"Data Scientist (Masters)"},{"type":"similar_search","href":"https://www.lin...

HubSpot is a leading customer relationship management (CRM) platform for scaling companies. Customer Health & Risk Management: Proactively monitor customer health using AI-native tools and Success Excellence Metrics to mitigate risk, strengthen renewals, and uncover growth opportunities.

Designing, building, and maintaining scalable and secure cloud infrastructure patterns on Google Cloud Platform (GCP) using Infrastructure as Code. Collaborating with development teams to establish best practices for building, deploying, and operating cloud-native applications on serverless platforms like Cloud Run.

Key Responsibilities The successful candidate will design, implement, and manage the cloud infrastructure and processes that ensure the SaaS platform is secure, highly available, scalable, and cost-effective. Infrastructure Design and Imp...

Azure Cloud expertise including IaaS/PaaS/SaaS Experience with Azure Services – Azure Migrate, Azure Management Groups, Log Analytics, Azure Subscription Management, Azure Monitor, Azure Portal, Azure Policy, Key Vault, RSV Backups, Role Based Access, Automation Accounts, Storage Accounts, Entra. Expertise in cloud migration techniques and workflows (on premise to Cloud) Infrastructure Automation experience - Azure DevOps, CICD, Configuration management, Ansible, Bash, Go, Python, Chef IaaC experience, including Terraform, PowerShell, Azure Resource Manager (ARM), Bicep Experience with Kubernetes (AKS) Azure Network design and configuration experience - Azure Firewall, NSGs, Routing, Private Endpoints, Virtual WAN Azure Security design and implementation ...

Senior Business Analyst – Business Controls & Process Improvement We’re seeking an experienced Senior Business Analyst to support business-led change across customer operations within a highly regulated environment. This role is focused on process improvement, business controls, and operational uplift, ensuring regulatory and policy changes are embedded pragmatically into day-to-day business operations.

Indigeco is supporting a major federal Government organisation to recruit a Senior AI Engineer (EL1 equivalent) to join a central Data Science team delivering cutting-edge AI and machine learning solutions. YOUR RESPONSIBILITIES Lead the design, development and deployment of AI and data science engineering solutions Architect and manage secure, scalable cloud infrastructure (Azure, AWS or Google Cloud) using Infrastructure as Code Deliver AI projects involving NLP, generative AI, predictive modelling and self-service analytics products Prototype engineering solutions rapidly for high-priority AI initiatives Establish standards, procedures and internal capability across the AI development lifecycle Collaborate with stakeholders, IT providers and end-users to deliver customer-centred solutions Support data ingestion, curation, ETL pipelines and analytics workflows Translate complex technical concepts into clear advice for non-technical audiences YOUR REQUIREMENTS Baseline security clearance (mandatory) Strong experience leading AI, data and cloud engineering work in government or complex environments Proven ability to design, build, test and deploy AI solutions end-to-end Experience working with relational databases and large-scale data platforms Strong knowledge of CI/CD, containerisation, orchestration and DevOps practices Experience with Azure, AWS or Google Cloud environments Well-developed communication skills and stakeholder engagement capability Ability to write and present advice clearly in plain English Desirable experience includes: Generative AI engineering, agent-based solutions and prompt evaluation Deploying and integrating open-weight LLMs via API endpoints Understanding of AI ethics, bias, risk and output evaluation Experience with Python AI libraries such as Hugging Face, PyTorch and llama-cpp Experience with Powe...

You will bridge the gap between AI experimentation and robust, production-ready agentic systems, ensuring scalability, reliability, security, and business impact. Key Responsibilities Design, build, and deploy production‑grade AI and agentic systems that automate complex business workflows and deliver measurable outcomes Develop and integrate LLM‑powered applications and multi‑agent architectures, ensuring scalability, reliability, and controlled autonomy Deploy AI solutions on cloud platforms (Azure and/or GCP) using secure, scalable, and cost‑efficient infrastructure Implement best practices for software engineering, CI/CD, and system reliability, including testing, monitoring, and observability Ensure AI system safety, evaluation, and performance, incorporating guardrails, monitoring, and feedback loops Collaborate with cross‑functional teams to translate business requirements into robust technical solutions Contribute to technical leadership, including architecture decisions, documentation, code reviews, and mentoring Required Qualifications 3+ years of software engineering or AI development experience Proven experience building and deploying enterprise-grade agentic or multi-agent systems Strong Python expertise, including async programming and performance optimization Production experience with modern AI agent frameworks and tool/API orchestration Hands-on cloud deployment experience on Azure and/or GCP, including containerization and CI/CD Preferred Qualifications Azure or Google Cloud certifications (preferred) Relevant AI/ML or ag...