Top AWS Jobs in Melbourne

Leads end-to-end development of scalable backend services, APIs, microservices, and event-driven solutions. Translates customer and business needs into secure, reliable technical solutions; contributes to architecture, production support, performance improvement, and continuous delivery. Collaborates with Product, Architecture, Security, and Platform teams while mentoring engineers and influencing technical direction. The role emphasizes cloud-native development, automated testing, observability, CI/CD, and modern AI-assisted engineering practices.

Build and operate cloud security governance, guardrails, access controls, automated remediation, and compliance enforcement across multi-account AWS environments. The role involves AWS Organizations, IAM, Terraform, scripting, security services, Policy as Code, and CI/CD integration. This is a six-month contract with possible extension, based in Melbourne or Sydney.

Build and configure AWS Landing Zones, provision secure non-production and production environments, and automate infrastructure using CloudFormation. Manage AWS networking services, including VPCs, subnets, NAT, EC2, load balancers, Route 53, NACLs, endpoints, and security groups. Automate application deployment with Ansible, create IAM roles for CI/CD pipelines, and build GitHub Actions CI/CD pipelines. The six-month contract may be extended.

Administer and support large-scale cloud and on-premises monitoring deployments across multiple providers. Maintain performance, availability, capacity, permissions, upgrades, and audit compliance. Integrate applications and infrastructure with enterprise monitoring instrumentation, document operational processes, collaborate with technical teams, and mentor colleagues on observability practices. The role requires expertise in monitoring platforms, application performance monitoring, synthetics, end-user experience, infrastructure monitoring, distributed tracing, cloud services, scripting, SQL, and multiple operating systems.

Provide advanced technical support for Supabase and PostgreSQL, investigating customer issues across databases, authentication, storage, realtime services, edge functions, and client libraries. Reproduce bugs, identify root causes, advise customers on performance and architecture, support migrations, escalate actionable issues to engineering, improve documentation and tooling, and mentor junior support staff. Requires fluent Japanese and English communication and availability during Japan business hours.

The Data Modeler will establish data modeling governance and release guidelines, lead technical data implementations from inception through delivery, and collaborate with data consumers, database developers, testers, and IT support teams. The role involves designing, building, and implementing data transformations while supporting the development of Ippon’s data-driven architecture practice and client solutions.

Drive Lakebase revenue across Melbourne by identifying, qualifying, and closing complex enterprise opportunities. Partner with account executives, solution architects, product, marketing, and partners to sell managed PostgreSQL for operational workloads and AI-native applications. Lead discovery, value selling, negotiations, proof-of-value initiatives, executive engagements, strategic account development, field enablement, and market thought leadership.

Design, build, operate, and maintain critical distributed cloud systems for Grafana Loki and related observability databases. Own system reliability, performance, and availability; deliver projects from ideation through customer operations; contribute to open-source projects; participate in on-call rotations; mentor teammates; and collaborate on technical designs and roadmap decisions.

Lead hands-on software engineering and technical direction across a core platform built with C#, .NET, PostgreSQL, AWS, microservices, APIs, event-driven systems, BFFs, and frontend components. Responsibilities include architecture, coding, design reviews, mentoring, CI/CD improvement, observability, security, reliability, documentation, and stakeholder collaboration. The role also advances AI-assisted development, AI agent governance, and agent-enabled engineering workflows without direct people management.

Design, build, test, deploy, and maintain secure .NET software, backend services, APIs, integrations, and event-driven microservices. Work with PostgreSQL, AWS Lambda, ECS, EC2, Blazor, and MudBlazor while contributing to automated testing, code reviews, technical planning, documentation, troubleshooting, and production support. Collaborate on reliable, maintainable solutions and use approved AI-assisted development tools responsibly.

Owns technology solutioning during client discovery engagements, including architecture, technology assessments, estimation, prototypes, and proofs of concept. Supports RFP responses and client workshops, builds working software rapidly, and helps establish AI-first discovery practices. Requires broad modern engineering experience, strong client communication, and the ability to lead ambiguous technical problems across web, mobile, cloud, and sports technology integrations.

The Principal Software Engineer will lead mobile application development, bridge technical and product strategies, and ensure engineering excellence at Xero.

Build and operate secure, scalable full-stack digital lending products using TypeScript, React, Node.js, and GraphQL. Own end-to-end delivery from architecture and design through deployment and production operations. Develop cloud-native services, enhance automation with Generative and Agentic AI, establish observability and automated testing, and lead complex cross-team initiatives. Mentor engineers, influence technology direction, and deliver intuitive customer experiences within a FinTech environment.

Own day-to-day information security and compliance operations, including SOC 2, ISO 27001, and Cyber Essentials readiness. Responsibilities include evidence collection, control monitoring, policy writing, access reviews, endpoint and software compliance, risk tracking, remediation follow-up, and audit coordination. The analyst will work with Engineering, DevOps, IT, and management to maintain effective controls and audit-ready documentation.

Design and build scalable backend services for the Spend and Accounting Hub to track, reconcile and account for spend transactions. Own end-to-end feature delivery, ensure reliability, performance and compliance, contribute to long-term architecture, collaborate cross-functionally, and provide technical mentorship.

Design, implement, and operate scalable backend services for the Spend and Accounting domains powering cards and expense workflows. Own end-to-end feature delivery, contribute to architecture, write testable reliable code, uphold observability and API best practices, collaborate with product and infrastructure, and provide technical mentorship to raise engineering standards.

Owns operational performance of AWS, Azure, and Microsoft 365 cloud services. Leads cloud engineers, governance, security, disaster recovery, incident and problem management, platform lifecycle, cost optimisation, infrastructure automation, landing zones, and production support. The role manages cloud operating models, stakeholder reporting, vendor relationships, compliance, platform engineering practices, and continual service improvement across enterprise managed services environments.

Lead the design, development, deployment, and operation of scalable AI/ML products and platforms. Own the full machine learning lifecycle, including experimentation, evaluation, inference, monitoring, and optimization. Develop LLM, retrieval, ranking, relevance, and generative AI solutions using Python, AWS, SQL, Airflow, Kafka, and BigQuery. Set technical direction, establish evaluation frameworks, improve engineering practices, mentor engineers, and promote reliable, ethical, and compliant AI/ML delivery.

As a Solutions Engineer, you will provide technical expertise to prospective customers, supporting them in evaluating the Sonar product and ensuring successful adoption.

Own backend-heavy full-stack product surfaces from architecture through production operations. Responsibilities include building AI-powered answer experiences, identity and billing systems, public APIs, integrations, and workflow tools. The role requires partnering with product, making technical trade-offs, operating services, monitoring performance, responding to incidents, and continuously improving systems used by tax and law firms.

Serve as a customer-facing technical advisor helping industrial organizations adopt Seeq and implement analytics solutions. Responsibilities include solution reviews, implementation guidance, customer mentorship, use-case discovery, adoption planning, troubleshooting, product feedback, functionality testing, and industry-specific consulting. The role requires translating customer needs into scalable analytics solutions, building stakeholder trust, and collaborating with account, product, marketing, and consulting teams.

Design, build, test, deploy, and monitor reliable AI/ML products and services at scale. Develop real-time and batch data pipelines, optimize ranking and retrieval models using embeddings, transformers, and LLMs, and establish evaluation, observability, and model lifecycle management practices. Collaborate across product, engineering, data, and consumer experience teams while contributing to scalable ML platform capabilities.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.

Build and operate secure, scalable full-stack software across APIs, integrations, payments, reporting, point of sale, checkout, and customer-facing interfaces. Own features from discovery and technical design through implementation, release, production support, and iteration. Troubleshoot issues and improve reliability, performance, observability, and maintainability while collaborating with product and engineering teams.

Develop and execute technical strategies for MSP partners across EMEA. Lead cloud security solution architecture, technical demos, enablement, integrations, and partner evangelism. Advise partners on securing AWS, Azure, GCP, containers, infrastructure, identities, and applications while supporting deal acceleration and technical business delivery. Travel up to 40% as needed.