Top Azure Jobs in Melbourne

Build and improve core AI and machine learning infrastructure enabling teams to develop, train, evaluate, deploy, and operate ML models and pipelines. Design scalable distributed systems, support end-to-end ML lifecycles, implement MLOps automation, collaborate with product engineering teams, lead projects from design through launch, review code, document solutions, and mentor junior engineers. Work may include dataset curation, LLM fine-tuning, model serving, monitoring, and generative AI systems.

Lead technical presales engagements for New Relic prospects and customers. Conduct discovery workshops, demonstrations, presentations, proofs of concept, and pilots; resolve technical objections; align observability solutions with customer business outcomes; and partner with account executives to drive revenue. Build executive and stakeholder relationships, provide product feedback, support marketing initiatives, and serve as a trusted technical advisor throughout the sales cycle.

Leads technical presales engagements for New Relic’s observability platform. Partners with account executives to qualify opportunities, conduct discovery workshops, deliver demonstrations and proofs of concept, resolve technical objections, and align solutions to customer business outcomes. Builds executive and stakeholder relationships, supports revenue goals, provides product feedback, and contributes to marketing activities and competitive positioning.

Leads regional ICT strategy, infrastructure, cloud, network, identity, endpoint, vendor, and service operations for Shield AI’s Australian hub and Asia-Pacific/Middle East programs. Ensures sovereign data handling, export-control compliance, classified-environment access controls, cybersecurity, resilience, and accreditation. Manages a technical team, budget, vendors, IT assets, site deployments, executive support, and customer engagements while aligning Australian requirements with US enterprise standards.

Develop, deploy, and improve distributed big-data pipelines for data ingestion, fusion, machine learning, and network analysis. Lead end-to-end data engineering solutions, improve scalability and reliability, support security and compliance reviews, and serve as a technical expert in customer engagements. Collaborate with engineering, data science, product, and public-sector stakeholders while evaluating tools and mentoring teams.

Leads and grows an AI Deployment Engineering team responsible for delivering agentic AI implementations, customer adoption, and measurable business outcomes. Owns portfolio roadmaps, staffing, delivery standards, technical quality, customer relationships, and cross-functional coordination. Establishes reliable, safe, auditable deployment practices and remains technically hands-on with agent architecture, evaluations, integrations, and production troubleshooting.

Designs and deploys agentic AI workflows and integrations for enterprise customers. Leads implementations from scoping through adoption, builds APIs and automations, configures data connections and guardrails, evaluates agent performance, and manages human-in-the-loop processes. Acts as the primary technical customer contact while coordinating engineering, data science, product, and customer success teams. Owns implementation roadmaps, requirements, acceptance criteria, documentation, and measurable delivery outcomes.

Drive growth within existing enterprise accounts by identifying and closing new business opportunities, expanding into new lines of business, prospecting technical and executive stakeholders, building customer relationships, and managing complex sales processes. Collaborate with solution architects, professional services, customer success, and channel partners to maximize deal value and customer adoption. The role is hybrid in Melbourne, requiring three office days per week.

Designs enterprise file and object storage architectures for AI, analytics, data lake, and enterprise workloads. Partners with customers on solution sizing, data flows, performance, scalability, and protection requirements; leads technical workshops, benchmarks, and proofs of concept; and presents recommendations to technical and executive audiences. The role supports presales engagements, RFIs/RFPs, competitive positioning, and product roadmap feedback while requiring expertise in S3, NFS, SMB, AI/RAG pipelines, and modern storage platforms.

Owns complex customer and partner support cases across SaaS and on-premise products. Responsibilities include triage, SQL-based data troubleshooting, log analysis, root-cause investigation, defect escalation, production monitoring, incident response, customer communication, knowledge development, and support automation. The role uses Claude, Intercom AI, workflows, and other automation tools while maintaining human accountability for technical conclusions. Participation in an out-of-hours on-call rota and occasional travel is required.

Hands-on Engineering Manager leading a team of 4–6 engineers while contributing technically. Responsibilities include coaching, Agile/Scrum delivery, software design and coding practices, roadmap planning, stakeholder communication, quality improvement, and delivery metrics. The role requires full-stack development, cloud-based SaaS experience, web and API development, DevOps and SRE knowledge, and experience with testing and automation.

Manage customer relationships and support engagements for Microsoft cloud adoption. Drive proactive support programs, cloud consumption, customer experience, environment health, and strategic escalations. Coordinate Microsoft teams, account planning, technical resources, and service delivery to resolve blockers and deliver measurable business outcomes. The role requires strong relationship management, program coordination, Microsoft technology knowledge, executive communication, and experience managing IT support and solutions.

Provide pre-sales technical expertise for networking solutions, including solution design, proof-of-concept execution, demonstrations, technical quoting, and partner enablement. The role designs secure and resilient enterprise networks across routing, switching, SD-WAN, cloud, segmentation, firewalls, VPNs, private wireless, and 5G. Responsibilities include managing technical sales activities, training partners and sales teams, collaborating with vendors, advising customers on best practices and compliance, and supporting field engagements with occasional interstate travel.

Designs, develops, and supports secure, scalable cloud integrations and APIs across enterprise platforms. Builds serverless workflows, messaging solutions, and fault-tolerant transaction processes; manages SQL databases, CI/CD pipelines, and Infrastructure-as-Code. Troubleshoots production incidents and Microsoft Dynamics 365 integrations, contributes to architecture and documentation, and collaborates with technical and functional stakeholders.

Leads a software engineering team responsible for internal applications, integrations, and engineering platforms. Sets technical direction, manages people and delivery, oversees software lifecycle practices, and ensures secure, reliable Azure operations. The role includes hands-on design leadership across APIs, databases, DevOps, CI/CD, infrastructure as code, application security, observability, and complex technical problem-solving.

Drive go-to-market execution and quota attainment for Fortinet’s AI security solutions across Australia. Build pipeline with account teams and partners, lead enterprise discovery, presentations, workshops, demonstrations, and strategic selling, and close complex multi-stakeholder deals. Advise customers on AI governance, runtime protection, guardrails, red-teaming, and shadow AI. Train sales teams and channel partners while engaging C-level security and AI decision-makers.

Leads pre-sales technical execution for AI security solutions across Australia. Responsibilities include technical discovery, architecture reviews, demonstrations, proof-of-concept support, customer deployments, partner enablement, sales engineer training, demo environment management, and post-sales handoffs. Builds relationships with technical decision-makers, supports cloud and self-hosted AI deployments, and evangelizes secure agentic AI practices.

Leads Microsoft Azure sales and account growth for mid-stage startups and ISVs. Builds executive relationships, develops joint business and account plans, identifies new opportunities, orchestrates cross-functional Microsoft and partner teams, and drives cloud adoption, revenue, consumption, and customer transformation outcomes. Requires consultative selling, technical cloud understanding, digital transformation expertise, pipeline management, strategic planning, and the ability to engage business and technical decision-makers.

Own complex software features end to end, from architecture and development through testing, deployment, and production support. Build scalable full-stack solutions with C#, .NET, and React while contributing to cloud-native delivery, CI/CD, observability, automated testing, security, and technical decision-making. Collaborate with product, design, and stakeholders, resolve technical risks, use AI-assisted engineering tools responsibly, and mentor or share knowledge with other engineers.

Own and evolve Avant’s Azure and Databricks data architecture, including target-state roadmaps, data models, integration patterns, governance, security, and design standards. Assess technical debt, assure partner-delivered solutions, and guide platform maturity and simplification. The role works across engineering, analytics, governance, cybersecurity, risk, and business teams while supporting APRA and privacy obligations and enabling trusted analytics and responsible AI.

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.

Leads technical pre-sales for enterprise data management solutions, including discovery, solution design, product demonstrations, proof-of-concept engagements, executive briefings, RFP responses, and partner enablement. Translates customer requirements involving cloud infrastructure, data security, governance, privacy, and compliance into measurable business outcomes. Collaborates with sales, product, engineering, marketing, customer success, and channel partners throughout complex enterprise sales cycles.

Designs, builds, integrates, and supports Microsoft Power Platform and Dynamics 365 solutions. Responsibilities include developing Power Apps, Power Automate, Power Pages, and Dataverse solutions; integrating D365 with Azure and external APIs; translating stakeholder needs into secure applications; supporting production environments; troubleshooting; and contributing to DevOps, CI/CD, and continuous improvement.

Build and evolve payer-facing experiences supporting online invoicing, payment processing, and money movement workflows. Collaborate with developers, product managers, and UX designers to deliver secure, reliable customer experiences. Contribute to DevOps improvements, Agile delivery, technical vision, knowledge sharing, and high-quality software development using modern programming languages, cloud platforms, containers, and CI/CD tools.

Build full-stack customer onboarding and verification solutions for MYOB’s payment products. Develop KYC, KYB, risk assessment, approval, and operational review workflows; integrate activation, invoicing, and payment services; and contribute to the Azure migration. Improve engineering quality through automated testing, TDD, and CI/CD while supporting technical direction, mentoring, pairing, and code reviews. The role requires collaboration across engineering, product, and operations teams and includes exploring AI-assisted development practices.