Top AWS Jobs in Melbourne

Design and implement large-scale, production-grade distributed systems to power generative AI features. Own architecture, operational reliability, and technical debt. Collaborate with applied scientists to productionize ML/LLM models, mentor engineers, and improve data usability and engineering standards.

Lead design and implementation of large-scale distributed production systems powering generative AI features. Own architecture, mentor engineers, manage technical debt, operationalize ML/LLM models, and collaborate with scientists to productionize research using Python, SQL, Spark/Dask, AWS, and Kubernetes.

Design, build, and operate an internal AI skills marketplace and distribution platform. Own end-to-end delivery from experimentation to production, create runbooks, monitoring, rollback plans, and provide guidance on authoring agent skills while collaborating with vendors and engineering teams.

This role involves investigating and resolving security events across multiple environments, improving detection systems, and leading cross-team efforts for enhanced operational maturity.

As a Technology Consultant I at Dynatrace, you will deliver services based on the Dynatrace Platform, provide client training, monitor application performance, and assist with troubleshooting. You will also create reports, enhance clients' operations, and identify new opportunities for sales.

Deliver technical product presentations and demos, configure installations during POVs, liaise with Product Management for account requirements, train and support Sales on technical and competitive messaging, act as a trusted advisor to prospects/customers to ensure project success, and travel as required.

The Staff Infrastructure Security Engineer will lead security initiatives, set architectural patterns, conduct security reviews, and mentor engineers while ensuring security in cloud infrastructures for GitLab.

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

Lead IT engineering for Legal, Risk & Compliance: build workflows, automations and AI integrations; own legal apps and orchestration across SaaS and cloud platforms; manage incidents/on-call, documentation, and end-to-end feature lifecycle while advising LRC teams globally.

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.

Design, build, and maintain scalable, secure backend services for card issuance and spend management. Own end-to-end feature delivery, contribute to architecture, write reliable testable code, ensure observability and API quality, collaborate cross-functionally, and mentor other engineers.

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

Lead design and delivery of scalable cloud infrastructure for Spend. Embed with dev teams to improve reliability, run incident response and observability, own SLOs/runbooks, and collaborate with DevOps and security for compliance and resilience.

Lead global corporate and cloud network architecture and roadmap. Design, deploy and operate secure, highly available hybrid LAN/WAN/Wi‑Fi/VPN across multi‑cloud and multi‑region sites. Own incident response, vendor hardware configuration, international connectivity (including China), infrastructure-as-code automation, documentation, mentoring, and participate in global on‑call rotations.

Lead and mentor engineers to design, build, and maintain scalable automation and onboarding systems. Implement AI/data-driven risk detection, collaborate with product/ops/compliance, drive architecture and reliability, and improve operational efficiency.

Serve as technical pre- and post-sales advisor for enterprise customers: design architectures for web and AI/Agentic workflows on Vercel, run evaluations and POCs, guide onboarding and migrations, optimize performance and cost, respond to security/compliance reviews, and produce reusable playbooks and developer-facing content.

Lead architecture and engineering practices across web, backend, and mobile. Hands-on contributor who writes and reviews code, sets standards, mentors a 26-person offshore team, partners with product and founders, resolves delivery bottlenecks, and scales engineering capability in Melbourne.

Design, implement, and maintain high-quality, well-tested mobile features; contribute to architecture and platform standards; collaborate with product, UX, and backend teams; improve crash-free rates and release predictability; respond to incidents and participate on-call; mentor peers and lead feature delivery from design to production.

Design and implement enterprise data governance frameworks, policies, and operating models. Establish stewardship, metadata management, lineage, and data quality practices. Facilitate stakeholder workshops, embed governance into delivery, support governance tooling adoption (data catalogs, metadata platforms), and provide advisory and mentoring to uplift organisational governance capability.

Lead technical design and delivery of secure, scalable platform capabilities. Mentor engineers, define standards and golden paths, drive automation, CI/CD, IaC, observability and developer self-service, partner with stakeholders to manage risk, remediation and cost optimisation to enable engineering and data teams to deliver at pace.

Provide technical leadership to design, build and evolve secure, scalable platform capabilities. Drive automation-first practices, infrastructure-as-code, CI/CD, observability, reliability, and developer experience improvements. Mentor engineers, define standards, partner with product, security and architecture teams, manage technical debt and risks, and deliver data platform solutions supporting batch and near-real-time processing.

Lead delivery and engineering of cloud-based AI solutions (Azure/AWS). Provide technical leadership across design, architecture governance, CI/CD, IaC, security, DevOps, and production readiness. Coordinate onshore/offshore teams, manage risks and stakeholders, mentor engineers, and ensure scalable, secure, high-quality AI deployments.

As a Senior AI Engineer, you will develop and implement AI capabilities to enhance business processes and customer experiences, collaborating with teams to deliver scalable solutions.

The Software Engineer will design, develop, and maintain backend services, including APIs for payments and subscriptions, while collaborating with cross-functional teams to enhance user experiences.