Top AWS Jobs in Melbourne

Lead design and delivery of cloud-native data platforms and pipelines for regulatory reporting. Build reusable data assets, integrate diverse sources, enforce coding standards, mentor engineers, and ensure scalable, high-performance, reliable data solutions on AWS/Snowflake.

Design, build, and maintain scalable, observable data pipelines and metadata frameworks to support analytics, AI/ML, and BI. Collaborate with engineers, data scientists, and analysts to improve data quality, governance, and delivery efficiency while driving best practices and MLOps integration.

Design, build, and maintain scalable production pipelines and services to process clinical-grade 30x whole genome data. Optimize performance, reliability, and cost across AWS and hybrid environments. Develop tools and services (Python, C#, SQL, AWS) for genomic analysis, collaborate with cross-functional teams, ensure testing, observability, and validated output, and support consumer-facing DNA apps and reports.

Lead pre-sales technical strategy and solution architecture for Forethought AI on Zendesk. Scope and prototype integrations, design PoV trials, demonstrate AI/LLM workflows, advise enterprise customers on generative AI best practices, and translate solutions into SOWs for post-sales implementation.

Design and lead scalable enterprise data platforms to support analytics, machine learning, and data science. Define architecture patterns, governance, modelling (Snowflake/Kimball), migrations, integrations, and best practices while collaborating with data scientists, engineers, and business stakeholders.

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Lead design and delivery of scalable, AI-ready data products and reusable data assets across squads. Build data pipelines, modelling and DataOps practices using Snowflake, dbt, SQL and Python. Collaborate with technical and business stakeholders, establish engineering standards, and support AI adoption and enterprise analytics.

Provide day-to-day support and incident response for an enterprise-scale hybrid container platform. Perform upgrades, IaC-driven rebuilds, vulnerability remediation, monitoring and observability improvements, and collaborate with engineering teams to maintain platform reliability, security and operational excellence.

Administer and optimise the PeopleSoft Campus Solutions platform: manage application/web servers and Process Scheduler, perform patching/upgrades, coordinate deployments via Phire, support environment refreshes and DB cloning, monitor batch processing, troubleshoot incidents, produce documentation, and collaborate with infrastructure, DB and development teams to improve performance and operational efficiency.

Lead and develop a Solutions Engineering team to drive technical sales success across enterprise opportunities. Partner with sales and cross-functional teams to support discovery, demonstrations, POCs, and solutioning for modern data, analytics, and AI platforms. Coach on technical-sales strategy, performance management, hiring, and cross-functional execution to scale team capability and customer outcomes.

Lead one or more cross-functional SAP-domain engineering squads to deliver product outcomes, manage stakeholder expectations, develop engineers, drive engineering best practices (TDD, CI/CD, DevOps), and contribute to architecture and tooling decisions while improving squad performance and delivery transparency.

Perform business process analysis, gather and document requirements, create functional specifications, model processes, estimate costs and benefits, support implementation and testing, and assist change management, training and end-user support while liaising between business and IT.

Lead design and implementation of enterprise RPA and automation solutions using UiPath and ABBYY. Provide technical leadership, mentor developers, drive architecture and best practices, optimize performance, collaborate with analysts, and ensure high-quality, scalable deliveries.

Seeking an AI Automation Engineer to design and deploy automation solutions using low-code tools, optimize workflows, and scale microservices in cloud environments, while collaborating with clients and teams.

Develop, test, and deploy front-end and back-end features for a remote monitoring dashboard, ensuring high-quality code and performance optimization.

Develop AI-powered systems for supply chain workflows. Implement agentic AI features, build backend services, and support testing and validation for AI systems.

The Software Engineer in Test III will develop and execute automated tests, maintain testing tools, analyze defects, and ensure product testability within TraceLink's software solutions.

The Senior Software Engineer in Test builds and executes automated tests, develops testing tools, and collaborates on technical designs while ensuring system testability for the TraceLink platform.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Design, benchmark, and optimize ClickHouse Cloud performance at scale. Troubleshoot production issues, tune configurations, run chaos experiments, build measurement tools, and collaborate with core, cloud, and security teams to improve system resilience and scalability.

Lead technical pre-sales engagements across APAC: manage POV lifecycles, deliver demos, conduct threat analysis and simulations, evaluate platform improvements, create SE enablement materials, and collaborate cross-functionally to convert evaluations into closed deals while advising enterprise stakeholders on insider risk and AI-related security risks.

The Lead Architect is responsible for designing technical architectures, managing system integration, guiding development teams, and aligning tech solutions with business objectives.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Lead cloud infrastructure monitoring, automate operations, and design AI-driven predictive monitoring and automated incident response. Manage CI/CD pipelines, enforce cloud security/compliance, build monitoring/logging/alerting systems, perform incident triage and collaborate with development teams to optimize cloud resources.