Top Azure Jobs in Melbourne

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.

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.

Lead KordaMentha’s Data and AI architecture capability by designing modern cloud data platforms, advising executive stakeholders, creating architecture standards, and leading technical assessments, due diligence, workshops, and transformation engagements. The role combines strategic consulting with deep expertise in cloud, data, analytics, and AI. Responsibilities also include mentoring architects and consultants, developing reusable architectures, shaping service offerings, and supporting market-facing thought leadership.

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.

Provides technical presales and consulting support for Microsoft AI and cloud solutions. Engages customers and partners, leads technical discussions, develops account and consumption strategies, demonstrates architectures, oversees proofs of concept, and drives technical wins. Advises on security, compliance, migrations, integrations, and digital transformation while relaying competitive insights to product and engineering teams.

Lead go-to-market planning and execution for datacenter expansion in Australia/New Zealand. Build multi-year growth plans, drive pipeline and anchor tenant acquisition, align engineering and product features to customer needs, develop business cases, orchestrate cross-functional stakeholders, and support PR and marketing for datacenter launches.

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.

Lead engineering teams to improve Azure Storage service quality, resiliency, chaos engineering, and validation infrastructure. Integrate AI tools and Responsible AI across the SDLC, coordinate cross-team plans, resolve complex incidents, and ensure scalable performance and best practices.

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.

Support and improve Azure-hosted applications, Sitecore CMS platforms, and .NET Core APIs. Build NewRelic monitoring dashboards, respond to incidents including P1 after-hours events, unblock delivery teams, support releases, and contribute to longer-term platform improvements. The role requires cross-functional collaboration, analytical troubleshooting, ownership, clear communication, and participation in an approximately one-week-per-month on-call roster.

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.

Lead design and delivery of resilient, scalable home-lending systems. Build secure TypeScript/Node.js/GraphQL services, own full lifecycle from architecture through production, mentor engineers, modernize legacy platforms to cloud-native, and apply automation and observability to ensure reliability across high-volume financial workflows.

Manage sensitive and escalated customer and partner issues, coordinating internal teams, vendors, and stakeholders to drive resolution. Lead strategic projects, mentor support managers, improve resolution processes, identify recurring issues, establish protocols, and communicate with senior and C-level stakeholders. The role requires Microsoft product expertise, cloud certification, incident and escalation management experience, and successful completion of Microsoft’s Cloud Background Check.

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.

Lead design and delivery of scalable, reliable backend services for Azure infrastructure. Own distributed-system design, implementation, testing, and operations. Drive incident response, on-call rotations, observability, automation, code reviews, and mentor engineers to improve reliability and operational excellence.

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.

Develop and maintain reliable, secure cloud software and ML infrastructure for Azure operations. Responsibilities include gathering requirements, contributing to architecture, coding, code review, testing, deployment, telemetry integration, data analysis, live-service operations, on-call support, automation, and security and compliance improvements. The role emphasizes AI-powered operational autonomy, extensibility, maintainability, and collaboration across Microsoft teams.

Partners with technical teams to develop secure, scalable Microsoft cloud solutions. Leads architecture sessions, proof-of-concepts, innovation workshops, sales enablement, and migration from legacy systems. Advises partners on Azure, Microsoft 365, Dynamics 365, Copilot, Defender, Purview, governance, data access, performance, and cost optimization while building executive relationships and driving cloud adoption, consumption, and revenue outcomes.

Drive Lakebase revenue across Melbourne by identifying, qualifying, and closing complex enterprise opportunities. Partner with account executives, solution architects, product, marketing, and partners to sell managed PostgreSQL for operational workloads and AI-native applications. Lead discovery, value selling, negotiations, proof-of-value initiatives, executive engagements, strategic account development, field enablement, and market thought leadership.

Drive revenue growth within assigned enterprise accounts by prospecting, qualifying, and closing complex deals. Target CTOs and engineering/IT leaders, partner with solution architects, professional services, customer success and channel partners, and participate in sales enablement and training programs.

Owns technology solutioning during client discovery engagements, including architecture, technology assessments, estimation, prototypes, and proofs of concept. Supports RFP responses and client workshops, builds working software rapidly, and helps establish AI-first discovery practices. Requires broad modern engineering experience, strong client communication, and the ability to lead ambiguous technical problems across web, mobile, cloud, and sports technology integrations.

Lead technical sales engagements for enterprise financial services customers, designing secure, scalable Agentic AI and cloud-native application architectures on Azure. Conduct workshops, live demonstrations, whiteboarding, rapid prototypes, proofs of concept, and pilots. Advise technical and business stakeholders, resolve technical blockers, influence architecture decisions, and drive production-scale deployments using Microsoft AI services, agent development platforms, application modernization technologies, and cloud-native development practices.

Build and operate secure, scalable full-stack digital lending products using TypeScript, React, Node.js, and GraphQL. Own end-to-end delivery from architecture and design through deployment and production operations. Develop cloud-native services, enhance automation with Generative and Agentic AI, establish observability and automated testing, and lead complex cross-team initiatives. Mentor engineers, influence technology direction, and deliver intuitive customer experiences within a FinTech environment.

Build and deploy software, AI, automation, data, and integration solutions for AFCA’s Scams Prevention Framework. Embed with business teams to identify operational challenges, translate them into technical solutions, develop prototypes and production applications, and support implementation. Work with platforms including ServiceNow, Azure, Databricks, and enterprise data systems. Apply DevOps, CI/CD, responsible AI, and governance practices while advising stakeholders and converting recurring needs into scalable platform capabilities.