Top AWS Jobs in Melbourne

Develop data science and AI-native analytical solutions using Python, SQL, cloud platforms, and AI tools. Responsibilities include data extraction and cleaning, feature engineering, model development, validation, testing, scalable solution design, and evaluation of AI-generated outputs. The role collaborates with analysts, engineers, and product specialists, contributes to project delivery and continuous improvement, and communicates technical concepts to non-technical audiences.

Lead Engineering Managers and multiple software engineering teams, shaping technology strategy, roadmaps, engineering practices, and delivery outcomes. Partner with Product and senior stakeholders to balance customer needs, quality, technical debt, cloud costs, and sustainability. Champion continuous delivery, automated testing, security, observability, AI adoption, and automation while measuring engineering improvements through outcome-focused metrics in a Microsoft-focused technology environment.

Lead architecture and delivery of large, complex enterprise deployments across cloud and on-prem environments. Design scalable data, security, and AI integrations; develop automation, ETL pipelines, and custom integrations; embed with customer engineering and executives to drive adoption, mentor team members, and influence product roadmap.

Manage and optimize technology expenditure across cloud, infrastructure, software, SaaS, AI, licensing, and managed services. Responsibilities include budgeting, forecasting, financial reporting, spend and utilization analysis, cost optimization, investment planning, vendor and contract reviews, lifecycle management, licensing governance, and FinOps reporting. The role partners with Finance, Procurement, and Technology teams to improve transparency, manage financial risk, and support strategic technology decisions.

Deploys and optimizes secure, scalable AWS and Kubernetes environments for enterprise customers. Builds infrastructure automation with Terraform, Ansible, and CloudFormation; maintains CI/CD pipelines, observability, security controls, and production Kubernetes systems. Troubleshoots Linux, container, networking, and distributed-system issues, supports customer deployments and incidents, translates technical requirements into implementation plans, and collaborates with customer-facing and internal engineering teams.

Own and execute Fabric Group’s B2B marketing function across brand strategy, positioning, demand generation, events, content, digital marketing, partnerships, employer branding, internal communications, and client advocacy. The role develops campaigns, thought leadership, social and website presence, partner initiatives, and marketing performance reporting while collaborating with executives, technical specialists, delivery teams, and People & Culture.

Lead the design and delivery of scalable full-stack software, APIs, services, and platform capabilities for Business Banking. Influence architecture, engineering standards, and technical direction across cloud, data, and AI-enabled platforms. Drive testing, CI/CD, observability, DevSecOps, automation, and production excellence while partnering with product and business stakeholders. Mentor engineers and support continuous improvement across teams.

Lead technical initiatives to enhance engineering excellence, mentor teams, simplify challenges, and advocate for cloud-native architectures and DevOps practices.

Support the availability, performance, resilience, and reliability of secure production platforms. Provide Level 2 and Level 3 incident response, root cause analysis, monitoring, logging, observability, automation, infrastructure as code, configuration management, and CI/CD improvements. Collaborate with engineering and operations teams to maintain high-availability systems and implement sustainable corrective actions in a mission-critical national security environment.

Senior Backend Software Engineer responsible for designing, coding, testing, debugging, and troubleshooting scalable software. Leads technical discussions, completes medium-sized projects, improves engineering processes, mentors junior engineers, and collaborates with product and engineering stakeholders. Requires strong backend development experience with Node.js, microservices, cloud services, CI/CD, TypeScript, GraphQL, databases, and subscription technologies.

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.

Serve as the primary technical resource for ANZ accounts, partnering with sales teams to understand customer needs and close complex opportunities. Lead technical validations and Proofs of Value, deliver product demonstrations, design solutions, and advise executives, developers, and SREs. Apply expertise in security, observability, cloud infrastructure, SaaS, and modern application architectures. Collaborate with Product Management and Engineering to improve Sumo Logic’s platform and customer outcomes.

Architects, develops, troubleshoots, and configures Sitecore solutions to achieve customer business outcomes. Provides strategic technical advisory, hands-on proof-of-concept development, and project support while building trusted customer relationships. Collaborates with partners, account executives, customer success teams, and internal stakeholders. Mentors colleagues and translates complex technical concepts for IT and marketing audiences. Expertise may span SitecoreAI, XM/XP, Content Hub, CDP, Personalize, Search, headless technologies, containers, cloud platforms, infrastructure, DevOps, and integrations.

Sets global cloud architecture standards, serves as the senior technical escalation point for strategic multi-cloud engagements, and advises executive customers. Leads complex architecture workshops, develops reference architectures and automation, mentors architects, influences product roadmaps, and improves professional services scoping and delivery. Requires deep AWS and Azure expertise, strong cloud security, data protection, automation, and enterprise architecture experience, with occasional travel.

Develops, tests, deploys, supports, and improves scalable software across the product lifecycle. The role involves application architecture, clean-code practices, automated testing, continuous delivery, observability, production troubleshooting, Agile collaboration, risk management, and mentoring junior engineers. Core technologies include C# .NET Core, REST APIs, and AWS, with desirable experience in Terraform, Python, TypeScript, JavaScript, build pipelines, PostgreSQL, or DynamoDB.

Lead end-to-end data science initiatives involving exploratory analysis, behavioral insights, experimentation, recommendation, ranking, personalization, and machine learning. Develop and productionize models, design offline and online evaluations, measure commercial impact, and establish rigorous modeling and documentation standards. Collaborate with Product, Data, Technology, and Commercial teams to solve complex customer problems and improve vehicle marketplace experiences.

Develop and support scalable, high-availability software within the ACIL tribe. Responsibilities include planning, coding, code review, testing, source control, build automation, performance tuning, and collaboration across teams. The role focuses on backend and frontend development, distributed and event-driven systems, AWS cloud solutions, DevOps practices, observability, clean code, and continuous improvement. Engineers are expected to contribute to team culture, share knowledge, and help deliver reliable products for dealership customers.

Drive revenue growth within assigned enterprise accounts by building pipeline, prospecting into CTOs and engineering/IT leaders, closing complex deals, and partnering with Solutions Architects, Professional Services, Customer Success and channel partners to maximize deal size and satisfaction.

Design and implement practical AI governance frameworks for clients, covering AI strategy, risk assessment, responsible AI, privacy, security, vendor assurance, inventories, monitoring, and capability uplift. The role develops governance committees, risk taxonomies, controls, assurance processes, metrics, and training for generative AI, agentic AI, and third-party AI services.

Lead strategic AI and agentic systems consulting opportunities for enterprise and government clients. Responsibilities include executive advisory, discovery workshops, architecture reviews, transformation roadmaps, presales, solution shaping, engagement leadership, capability development, reusable IP creation, and scalable service offering development. The role requires connecting AWS cloud, data, AI, intelligent automation, and modernisation capabilities into commercially valuable customer propositions while coaching consulting teams and influencing senior stakeholders.

Lead strategic customer success for a portfolio of Enterprise (G2000) accounts, driving retention, revenue realization, and advocacy. Advise on complex technical and operational strategies, conduct business reviews, create mutual success plans, and coordinate cross-functional resources. Mentor team members, influence product direction with customer insights, and maintain accurate account data while leveraging AI to improve engagement and efficiency.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Designs and builds end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include solution design, programming, architecture documentation, testing, UAT support, validation, defect resolution, risk communication, QA, audits, and platform migrations. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, APIs, and emerging AI technologies while partnering with analysts, business teams, and technology stakeholders.

Own and improve the reliability, quality, governance, and observability of the company’s internal data platform. Build production data pipelines and integrations, implement testing and validation, document lineage, enable self-service analytics, and automate operational support. Collaborate with product engineers, delivery teams, and data specialists while using AI-assisted development tools to improve data engineering practices.

Lead a distributed data engineering team to design, build, and maintain core data models and real-time data flows on an AWS/Snowflake platform. Balance strategic architecture and hands-on delivery, manage risks and dependencies, establish SLOs and DataOps practices, and coach senior engineers to improve platform quality and performance.