Top AWS Jobs in Melbourne

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Designs, builds, and optimizes cloud-native data platforms, batch and real-time pipelines, and AI-powered data products using Snowflake, Databricks, AWS, and Azure. The role includes data architecture, governance, quality, observability, security, performance and cost optimization, infrastructure as code, and direct client collaboration. The engineer also contributes to technical design, estimation, delivery planning, and modern AI capabilities such as semantic search and RAG.

Build and deliver production-grade generative AI and LLM applications using Python, machine learning, cloud platforms, APIs, SQL, and data pipelines. Contribute to AI evaluation, observability, testing, code reviews, and technical standards. Collaborate with clients and domain experts to define solutions, explain technical concepts, and communicate risks and trade-offs. The role supports end-to-end AI/ML delivery while developing technical and consultative expertise.

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

Provide technical leadership for Akuity’s SaaS platform by designing, building, testing, and improving scalable developer and infrastructure tools. Develop server-side services in Go, guide architecture for distributed systems, mentor engineers, promote best practices, and collaborate across engineering, design, and product teams. The role focuses on Kubernetes-based platforms, developer experience, scalability, and reliable infrastructure operations.

The Infrastructure Support Senior Analyst provides L2/L3 support for client environments, leads a team, manages incidents, and ensures infrastructure performance and availability.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Own the Android app end to end, including architecture, performance, releases, app store presence, experimentation, and roadmap. Lead and mentor mobile engineers, establish technical direction, and deliver polished native experiences. Partner with engineering and product leadership on growth, onboarding, and retention initiatives. Ship, instrument, measure, and iterate quickly in a PLG and A/B testing environment, while helping scale the mobile team.

Lead administration, optimization, automation, security, and lifecycle management for enterprise Unix/Linux platforms. Support patching, upgrades, vulnerability remediation, performance tuning, storage, monitoring, high availability, backup, recovery, and disaster recovery across on-premises, cloud, and hybrid environments. Collaborate with application, database, network, security, and architecture teams on troubleshooting, migrations, modernization, and cloud adoption. Mentor engineers and contribute to infrastructure standards, resilience, roadmaps, and operational best practices.

Manage and optimise secure cloud platforms (Azure/AWS), resolve incidents, automate operations with scripting and IaC, strengthen security via patching and compliance, and partner with engineering, cyber security and customers to deliver resilient cloud services.

Build and ship a production project for Agora, a decentralized distributed training system. Develop multiprocessing, asynchronous I/O, and threading components; work with large-scale training infrastructure across AWS and GCP; contribute daily to production code through reviews and mentorship; and present final project results to engineering and research teams.

Provide pre-sales technical consultancy and solution design for switching and Wi‑Fi network security. Prepare proposals, RFPs/RFIs, demos and POCs, deliver professional services and channel training, and troubleshoot complex enterprise networking security environments.

Operate and sustain on-premises Kubernetes infrastructure for mission-critical platforms. Provide L2/L3 incident response and root cause analysis, develop monitoring and SLO-driven observability, automate operations with IaC and scripting, and support CI/CD and virtualised/cloud environments to improve resilience and reliability.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

Lead enterprise sales for Neo4j across Australia & New Zealand, managing full sales cycles from land to expand. Build territory and account plans, coordinate cross-functional teams, drive POCs with Pre-Sales, and maintain Salesforce CRM hygiene while engaging C-level stakeholders and cloud partners to grow adoption of graph database solutions.

Lead network strategy, architecture, and delivery for a multi-tenant MSP. Define reference architectures, govern vendor stack, drive automation and observability, manage major incidents, ensure scalable managed network services, participate in presales and risk/capacity planning, and mentor engineering teams to meet SLAs and business outcomes.

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.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

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.

The Edge Functions Engineer will evolve the Supabase Edge Runtime, implement monitoring and optimizations, manage features, and work closely with the Deno open-source teams.

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.

Responsible for ensuring reliability, availability, and performance of cloud production systems, leading incident response, automating workflows, and improving system observability and scalability.

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

Join Supabase's new performance team to identify and fix performance bottlenecks across the stack—from query optimizer to kernel and cloud infra. You will analyze live systems, partner with DB and infra teams, build tooling and methodologies, improve observability, and enable teams to self-serve performance improvements that yield measurable production gains.

Architect and productionize ML and GenAI solutions on the Databricks platform (RAG, agents, LLMs, MLOps). Guide customers and Solution Architects through design, optimization, monitoring, and deployment of end-to-end ML pipelines, collaborate with product and engineering, mentor SMEs, and support technical pre/post-sales engagements.