Top DevOps Jobs in Melbourne

The AI DevOps Engineer will design, deploy, and operate AI platforms, primarily using AWS and focusing on optimizing workloads, orchestrating workflows, and integrating AI services while ensuring security and cost-effectiveness.

Deploy, configure, and maintain blockchain networks and cloud infrastructure on AWS. Administer and scale Kubernetes (EKS) clusters, build CI/CD pipelines (GitHub Actions, ArgoCD, AWS CodeBuild), and automate provisioning with Terraform and Helm. Monitor system performance and tune infrastructure. Coordinate with international partners (requires English/Mandarin).

Early-career DevOps role focusing on Kubernetes and AWS operations, embedding security into the development lifecycle, automating processes, and implementing CI/CD solutions. Remote, fixed-term accelerator program for students and recent graduates.

The role involves creating testnets, maintaining production infrastructure, and monitoring systems to aid developers in decentralized network projects, emphasizing security and innovation.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

Design, build, and maintain cloud infrastructure using IaC (Terraform); develop and optimize CI/CD pipelines; manage containerization with Docker and Kubernetes; implement monitoring, logging, and alerting; drive automation and platform improvements; ensure security and collaborate with development teams across the SDLC.

Design, deploy and manage secure cloud infrastructure (AWS/Azure), implement IaC and CI/CD, automate with Python/Bash/PowerShell, run Docker/Kubernetes workloads, monitor systems, and support security-focused incident response and delivery improvements in a multidisciplinary team.

Design, build and maintain AWS cloud-native infrastructure and IaC, build CI/CD pipelines, implement observability and security, optimise performance and cost, automate platform capabilities, lead incident response and embed DevOps best practices across teams.

Design and operate reliable, secure cloud foundations for Jetstar's Modern Cloud Data Platform. Define SLOs/SLIs, drive SRE and DevOps practices, own scalable infrastructure, set observability and security standards, manage CI/CD and FinOps, and mentor engineering teams.

The Senior DevOps AI Engineer will maintain infrastructure in GCP/AWS, lead DevOps tasks, and develop AI-driven operational tools while collaborating with engineering and support teams.

Design, implement, automate, and support enterprise-scale Azure cloud infrastructure and CI/CD pipelines. Modernize platforms, deploy and operate Kubernetes environments, build monitoring and alerting, troubleshoot networking and performance issues, and ensure cloud security. Lead and coach junior DevOps engineers, collaborate with Engineering, Security, QA, and Operations, and participate in agile ceremonies to deliver scalable, reliable deployments.

Design, build and operate Azure integration solutions using Logic Apps, Functions and Service Bus; implement data mappings, transformation logic and integration patterns; provision infrastructure with Bicep/Terraform; configure CI/CD with Azure DevOps; implement security, monitoring and observability; run tests, deployments, rollbacks, and produce documentation and runbooks.

The Senior DevOps Engineer will enhance GCP platforms, implement networking solutions, automate infrastructure with Terraform, and improve CI/CD pipelines while collaborating with application teams.

The Lead Platform Engineer will oversee the development and maintenance of DevOps tooling and infrastructure, implement security frameworks, and lead a DevOps team.

Design and implement CI/CD pipelines, manage cloud security, automate infrastructure provisioning with Terraform, ensure 24/7 uptime, monitor and optimize performance and costs, and collaborate cross-functionally to enforce DevOps and security best practices for a high-TVL DeFi protocol.

Build and maintain backend services in Go, manage distributed validator sets, and automate infrastructure with Kubernetes, Terraform, and AWS. Monitor, troubleshoot, and collaborate on scalable Web3 solutions while contributing to architecture and design for reliability and performance.

Build and scale the internal development platform: create tools, services, and automation (CI/CD, canaries, feature flags, access workflows). Work with Pulumi/Python IaC for k8s, enable self-serve developer experience, lead AI tool adoption, participate in on-call, code and design reviews, and deliver major platform initiatives to help engineers ship safely and quickly.