Top Azure Jobs in Sydney

Provide advanced technical support to major MongoDB customers, resolving complex architecture, performance, recovery, security, networking, database, and infrastructure issues. Design and troubleshoot scalable production environments involving Linux, Kubernetes, storage, and automation. Develop internal diagnostic and support tools, document solutions, deliver training, mentor peers, and collaborate with product and engineering teams on customer escalations and new MongoDB capabilities.

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 complex backend engineering initiatives from technical design through launch. Design architectures, deliver solutions used across teams and products, resolve high-risk issues, establish code review and documentation standards, and influence company-wide technical decisions. Mentor engineers, evaluate performance and reliability trade-offs, and contribute to developer experience and productivity using modern cloud platforms, multiple programming languages, and CI/CD practices.

Leads complex, concurrent enterprise customer implementations from kickoff through sign-off, managing scope, milestones, budgets, resources, risks, quality, and executive stakeholders. Builds and refines PMO governance, delivery methodologies, workflows, KPIs, capacity planning, and reporting processes. Mentors project managers, drives continuous improvement, and serves as a trusted advisor to customers and internal teams.

Deliver end-to-end LogicMonitor Professional Services implementations for new and existing customers. Lead discovery, design, deployment, and configuration sessions; automate tasks using APIs and scripting; develop custom integrations; optimize monitoring strategies; provide technical expertise and product feedback; and collaborate with Customer Success, Support, Training, Product, Development, Monitoring Engineering, and Sales teams.

Develop and maintain enterprise-grade C# and .NET applications, RESTful APIs, event-driven microservices, and distributed systems on AWS. Design PostgreSQL schemas, optimize queries, and support high-volume workloads across the full software development lifecycle. Collaborate with product owners and architects while meeting compliance, security, resiliency, and service-level requirements. Use and evaluate AI-assisted development tools responsibly for coding, testing, refactoring, documentation, and automation.

Lead technical discovery, design bespoke Cloudflare architectures, deliver demos and PoCs, and act as a trusted advisor across the customer lifecycle. Carry quota for new business and expansion, run technical QBRs, and leverage AI-augmented workflows to automate routine tasks and focus on strategic adoption and growth.

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, focusing on APIs and collaborating with cross-functional teams to enhance user experiences and meet product objectives.

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 KordaMentha’s Data and AI advisory capability by designing modern cloud data platforms and AI solutions, advising executive stakeholders, and translating business priorities into technology strategies and architecture roadmaps. Responsibilities include architecture reviews, technical due diligence, discovery workshops, governance standards, platform assessments, program estimation, mentoring technical teams, and developing thought leadership and client offerings across multi-cloud and modern data ecosystems.

Deploys, operates, secures, and maintains enterprise integration infrastructure across development, staging, and production. Responsibilities include managing messaging and API platforms, building infrastructure as code with Terraform, Ansible, and Helm, operating CI/CD pipelines, supporting Kubernetes and Docker, and implementing high availability, disaster recovery, monitoring, certificate management, and secrets handling. The role also creates operational documentation and collaborates with engineering, cloud, cybersecurity, identity, and vendor teams.

Leads enterprise AI engineering strategy, architecture, governance, and delivery across generative AI, agentic systems, and production machine learning. Defines reference architectures, engineering standards, reusable patterns, and technical controls while assuring high-risk designs. Partners with delivery teams, Architecture, Cyber, and Risk to solve complex integration, reliability, performance, evaluation, privacy, security, and model-risk challenges. Requires extensive production AI experience, principal-level technical leadership, cloud expertise, and strong Python and modern software engineering capabilities.

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.

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.

Provide technical escalation support for complex Azure/AWS cloud application and infrastructure issues. Own critical customer escalations, troubleshoot IaaS/PaaS and App Services, drive resolution, mentor peers, improve product and support processes, and coordinate with account and engineering teams to prevent and resolve high-risk incidents.

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.

Build and support an ISAM platform, including server deployment, access policies, user registries, federation, clustering, EAI, SSO, and authentication mechanisms. Troubleshoot server- and user-level issues, resolve support tickets, manage outages, meet SLAs, and coordinate with customers, vendors, and stakeholders. Create operating procedures, policy manuals, activity reports, and knowledge documentation. Support migrations, automation, integrations, and continuous improvement initiatives.

Conduct cloud, application, and DevSecOps security assessments; review vulnerabilities and misconfigurations using Orca Security and GitHub Advanced Security; integrate security controls into CI/CD pipelines; assess cloud, container, Kubernetes, IaC, and software supply chain risks; guide remediation; develop security standards and reports; and collaborate with engineering and stakeholder teams.

Leads enterprise security architecture, defining security controls, requirements, patterns, standards, risk assessments, and solution architectures. Collaborates with business, architecture, engineering, vendors, and delivery teams to protect systems, networks, and information. Advises executives, supports security strategy and emerging capability assessments, manages complex initiatives, and mentors security architects. The role also covers cloud security, Agile and DevOps environments, RESTful architectures, and secure Agentic AI solutions.

Designs, configures, governs, and optimizes AI-driven Next Best Action strategies in Pega Customer Decision Hub. The role translates business goals, customer insights, and data into scalable decision logic, leads experimentation and performance measurement, ensures privacy and regulatory compliance, and provides senior expertise and coaching across Martech and customer lifecycle management teams.

Build and support an IBM ISAM/ISVA platform, including WebSEAL, access policies, user registries, federation, SSO, MFA, OAuth, OIDC, EAI, clustering, and application integrations. Deploy and configure infrastructure, troubleshoot incidents, analyze logs, support outages, meet SLAs, and coordinate with customers, vendors, and stakeholders. Create operational procedures, policy manuals, activity reports, and knowledge documentation. The five-month contract may be extended.

Design, build and support highly available, secure database platforms across SQL Server, PostgreSQL and Azure. Drive cloud transformation, automation, CI/CD and IaC, optimize performance, manage incidents, mentor peers, and collaborate with architects and delivery teams to deliver resilient, scalable database services.

Provide expert technical guidance to large customers on MongoDB architecture, performance, recovery, security, and operations. Troubleshoot and optimize production deployments, build internal tooling and automation, document solutions, deliver training, and mentor peers. Work closely with product and engineering teams to improve customer outcomes.