Top AWS Jobs in Melbourne

Own reliability for Canva’s highest-risk technical domains by writing production software for large-scale distributed systems. Responsibilities include improving sharding, resource utilization, resilience, observability, performance, and incident outcomes; debugging unfamiliar codebases; collaborating with product and infrastructure teams; mentoring engineers; and contributing shared platform capabilities. The role requires deep systems, networking, Linux, Kubernetes, AWS, distributed-systems, and production incident-response expertise.

Principal Production Engineer responsible for defining Canva’s production engineering practice, leading complex reliability engagements, and setting technical standards across the organization. The role involves improving large-scale distributed systems, shaping engagement and measurement models, influencing product roadmaps, mentoring engineers, and addressing challenges involving sharding, multi-region architecture, JVM performance, Kubernetes, AWS, Linux, observability, and incident response.

Leads Canva’s Core Production Engineering team, managing software engineers who build reliable, scalable services and solve complex cross-team production challenges. Sets team direction, priorities, and delivery goals; coaches engineers; drives adoption of engineering practices; and helps turn targeted solutions into reusable capabilities. The role requires strong systems, networking, cloud, reliability, architecture, and software engineering knowledge, with responsibility for shaping an evolving technical function.

Lead Canva’s Embedded Production Engineering team, managing senior engineers who solve critical reliability, scalability, observability, data protection, and software safety challenges. Define the team’s operating model, prioritize high-impact engagements, influence engineering leaders across teams, establish reusable engineering standards, and develop senior technical leaders. The role requires strong software engineering, systems, cloud, reliability, and cross-organizational leadership experience.

Leads technical pre-sales engagements for Couchbase’s data platform, consulting with customers, conducting discovery workshops and demonstrations, managing proofs of concept, designing application and database solutions, and advising stakeholders from developers to executives. Partners with sales, Product Management, and Engineering while developing technical collateral and providing customer and competitive insights.

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.

As an AI Consulting Solutions Engineer, you'll lead pre-sales efforts for Netskope's AI Security products, assist sales teams, engage customers, and collaborate with product management.

Design, build, and operate Supabase’s global edge and networking infrastructure, including routing, load balancing, DNS, WAF, TLS termination, CDN integrations, and observability. Improve latency, reliability, security, and cost efficiency across cloud regions. The role includes developing automated routing systems and CI/CD, troubleshooting distributed systems, participating in on-call and incident response, and collaborating with infrastructure and product teams.

Senior, client-facing technical lead responsible for discovery, end-to-end AWS solution architecture, migration to AWS (including contact centre migrations), leading a squad of consultants, hands-on implementation, designing data and AI-enabled solutions, mentoring, reusable IP creation, and occasional pre-sales support.

Design, build, and deploy AWS-based solutions (including Amazon Connect CX platforms). Implement integrations, CloudFormation templates, Lambda functions, data pipelines (Glue, Athena), and QuickSight dashboards. Participate across SDLC, troubleshoot incidents, and train teams to ensure secure, well-architected cloud deployments and CX visibility.

Develop and deploy end-to-end predictive machine learning models for Retail Media, optimise model performance, and conduct statistical experiments and hypothesis testing. Collaborate with product, engineering, analytics, and business teams, while communicating technical insights to varied stakeholders. The role also involves processing large-scale cloud data and exploring modern AI tools and agentic AI frameworks.

Leads hands-on delivery and operations for scalable data platforms, pipelines, and data products. Translates architecture into secure solutions, enforces engineering and DevSecOps standards, supports development and production reliability, and leads incident resolution. Provides technical direction to distributed engineers, reviews designs and code, coaches team members, and advances platform interoperability, governance, observability, automation, and cloud transformation initiatives.

Owns enterprise cloud sales strategy and execution across an assigned territory. Identifies cloud adoption opportunities, structures complex marketplace and managed-service deals, manages negotiations, and drives contract closure. Builds co-sell relationships with AWS, Azure, Google Cloud, system integrators, and resellers. Partners with sales, solution architecture, marketing, and customer success teams to grow pipeline, forecast accurately, accelerate deployment, and increase cloud consumption. Advises enterprise sales teams on cloud economics, marketplace opportunities, and hyperscaler engagement models.

Lead cloud migration and transformation engagements for enterprise clients, owning delivery outcomes, technical quality, timelines, and stakeholder communication. Design and implement AWS landing zones, network architectures, migration roadmaps, hybrid and multi-cloud solutions, disaster recovery, and modernisation patterns. Lead consultant pods, coach senior staff, support estimation and business cases, and contribute to reusable consulting accelerators. Apply infrastructure as code, CI/CD, observability, automation, and emerging AI-enabled migration practices.

Lead client cloud transformation engagements involving AWS migration strategy, portfolio assessment, solution architecture, implementation, infrastructure operations, and hybrid or multi-cloud environments. Lead delivery pods, manage scope and risks, guide consultants, engage stakeholders, support estimating, and contribute to reusable accelerators. Design secure AWS landing zones, networks, distributed systems, modernization architectures, CI/CD and infrastructure-as-code solutions while advising customers and presenting strategies to senior audiences.

Lead enterprise AWS migration and cloud transformation engagements, owning delivery outcomes, customer relationships, technical strategy, and solution implementation. Assess current environments, develop migration roadmaps, design secure landing zones and distributed architectures, and guide infrastructure and operations work. Lead consultant pods, manage risks and stakeholders, contribute to estimates and reusable accelerators, and coach senior consultants. Apply AWS migration tools, infrastructure as code, CI/CD, observability, automation, disaster recovery, cost optimization, and modernization practices.

Build, support, and evolve secure cloud and hybrid platforms for business-critical applications. Automate infrastructure and application delivery using Infrastructure as Code, CI/CD, scripting, and deployment tooling. Improve reliability, performance, observability, security, and operational efficiency through monitoring, vulnerability remediation, lifecycle management, and resilience practices. Collaborate with developers, architects, cybersecurity teams, infrastructure staff, and business stakeholders to enhance platform capabilities and deployment processes.

Leads technical sales engagements for Wiz’s cloud and AI security platform. Partners with sales, product, engineering, customer success, and executive stakeholders on strategic opportunities, demonstrations, proof-of-concepts, deployments, troubleshooting, security architecture, and platform messaging. Provides field-driven product feedback and thought leadership while guiding prospects and customers through complex cloud, DevOps, Kubernetes, networking, and security use cases.

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 presales technical engagements for SailPoint in A/NZ: discover requirements, demo and align identity governance solutions, support RFx responses, engage customers and partners, collaborate with sales and product teams, and mentor team members.

Serves as the highest technical escalation point for enterprise customers, diagnosing complex issues across integrations, workflows, APIs, identity systems, and customer environments. Reproduces and triages bugs, partners with Engineering and Product, improves escalation processes, strengthens documentation, and supports customer-facing teams. Uses logs, observability tools, payloads, and debugging utilities to resolve issues and identify systemic improvements.

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.

The Cloud Engineer II will join the SRE team to improve service mesh and Kubernetes architecture across AWS and Azure environments. Responsibilities include designing and maintaining reliability tools, monitoring systems, analyzing metrics, troubleshooting performance issues, improving availability, reducing operational toil, and optimizing cloud costs. The role requires hands-on experience with Kubernetes, Terraform, Helm, cloud deployments, container diagnostics, Python or Shell scripting, and mature development and deployment practices.