Top Azure Jobs in Melbourne

Designs, develops, and delivers scalable ServiceNow enterprise solutions and integrations. Responsibilities include configuring ServiceNow modules, creating workflows and scripts, managing releases and environments, documenting technical architecture, coordinating with stakeholders and vendors, and evaluating emerging technologies. The role requires expertise in ServiceNow development, APIs, middleware, cloud infrastructure, network technologies, and enterprise integration environments.

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.

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 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 technically own Optimizely CMS projects, delivering secure, high-performing digital experiences. Responsibilities include C# and .NET development, Azure hosting, CI/CD, estimation, self-QA, technical client collaboration, application security, performance optimization, and using AI for code reviews and documentation. The role also involves problem-solving, technical project ownership, and maintaining high communication and quality standards.

The Senior Backend Engineer will develop and maintain backend services and APIs on a .NET and Azure stack, optimize SQL Server models, and enhance platform reliability while working within a global team.

Lead the design and development of cloud-based data platforms, pipelines, ETL/ELT processes, data models, warehouses, and lakes using Azure and Databricks. Build integrations, optimize performance, implement governance, monitor pipelines, resolve issues, and create Power BI reports. Collaborate with product managers and technical teams to deliver scalable, reusable data solutions and document processes.

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.

Design, build, operate, and maintain critical distributed cloud systems for Grafana Loki and related observability databases. Own system reliability, performance, and availability; deliver projects from ideation through customer operations; contribute to open-source projects; participate in on-call rotations; mentor teammates; and collaborate on technical designs and roadmap decisions.

Advise customers on Azure cloud, database, analytics, and AI solutions. Design secure and scalable architectures, lead discovery workshops, demonstrations, proof-of-concepts, and deployment planning, and guide database modernization and migrations. Partner with sales, customer success, and technology partners to influence technical decisions, remove deployment blockers, and drive adoption. Apply expertise in Microsoft Fabric, Azure Databricks, Azure databases, PostgreSQL, advanced analytics, and emerging Agentic AI technologies.

Design, build, test, deploy, and support enterprise integration solutions using Azure Integration Services. Engage stakeholders, translate business requirements into practical architectures, troubleshoot .NET applications, review code, implement minor fixes, manage dependencies, and support solutions throughout the SDLC. The role also requires experience with infrastructure as code, CI/CD pipelines, DevOps practices, and effective stakeholder communication.

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.

Own day-to-day information security and compliance operations, including SOC 2, ISO 27001, and Cyber Essentials readiness. Responsibilities include evidence collection, control monitoring, policy writing, access reviews, endpoint and software compliance, risk tracking, remediation follow-up, and audit coordination. The analyst will work with Engineering, DevOps, IT, and management to maintain effective controls and audit-ready documentation.

Owns operational performance of AWS, Azure, and Microsoft 365 cloud services. Leads cloud engineers, governance, security, disaster recovery, incident and problem management, platform lifecycle, cost optimisation, infrastructure automation, landing zones, and production support. The role manages cloud operating models, stakeholder reporting, vendor relationships, compliance, platform engineering practices, and continual service improvement across enterprise managed services environments.

Serve as a customer-facing technical advisor helping industrial organizations adopt Seeq and implement analytics solutions. Responsibilities include solution reviews, implementation guidance, customer mentorship, use-case discovery, adoption planning, troubleshooting, product feedback, functionality testing, and industry-specific consulting. The role requires translating customer needs into scalable analytics solutions, building stakeholder trust, and collaborating with account, product, marketing, and consulting teams.

Develop and execute technical strategies for MSP partners across EMEA. Lead cloud security solution architecture, technical demos, enablement, integrations, and partner evangelism. Advise partners on securing AWS, Azure, GCP, containers, infrastructure, identities, and applications while supporting deal acceleration and technical business delivery. Travel up to 40% as needed.

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.

Own the strategy, roadmap, backlog, and delivery of internal IT data products supporting modern IT service and asset management. Translate customer needs into user stories, personas, journeys, and experiments; collaborate with stakeholders and Agile teams; and make data-driven decisions across data pipelines, governance, quality, and cloud data platforms.

Lead the design and development of cloud-based data platforms using Azure and Databricks. Build and optimize ETL/ELT pipelines, data models, warehouses, lakes, and integrations; implement governance, monitoring, and troubleshooting; and create Power BI reports. Collaborate with product managers and cross-functional teams to deliver scalable, high-quality data solutions, while documenting processes and applying coding and DevOps best practices.

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.

Own the architecture and delivery of production AI and machine-learning systems for enterprise clients. Lead engineers, build cloud data pipelines, develop causal and predictive models, create mathematical optimization engines, and integrate generative or agentic AI solutions. Serve as the technical face of client engagements through executive presentations, technical reviews, governance documentation, and delivery oversight. Ensure code quality, testing, reproducibility, auditability, privacy, and responsible use in regulated environments.