Top Azure Jobs in Sydney

Design, develop, test, and deploy full-stack web applications and APIs to support investment management, portfolio operations, reporting, and business workflows. Build backend services, optimise SQL and database performance, integrate systems via APIs, contribute to cloud modernization, participate in architecture and code reviews, and improve application performance, security, and maintainability while collaborating with product and investment teams.

Customer-facing engineering role building and deploying AI-powered observability solutions. Ship backend and full-stack integrations, instrument telemetry, configure cloud/kubernetes deployments, and convert field learnings into reusable artifacts and product feedback.

Build and maintain ML platform infrastructure to enable model creation, training, deployment, and monitoring. Collaborate with product teams to curate datasets, fine-tune LLMs, implement MLOps/CI-CD pipelines, optimize performance, and deliver scalable, fault-tolerant ML systems used across Atlassian products.

Leads technical sales engagements for Dynatrace’s observability and AI operations platform. Partners with sales teams, customers, executives, and channel partners to conduct discovery, workshops, demonstrations, RFP responses, cloud architecture discussions, proof-of-value engagements, and solution evaluations. Evangelizes products at customer and industry events, supports new and expansion opportunities, coaches partners, and provides customer feedback to Product Management. The role requires deep observability or cloud expertise, strong presentation skills, and eligibility for Australian government security clearance.

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.

The Partner Solutions Architect supports technical initiatives with partners, manages onboarding, training, and drives solutions to enhance partner success and adoption of Datadog features.

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.

Own a book of named major enterprise accounts in ANZ to drive renewals, upsells, cross-sells and net revenue retention. Identify whitespace and expansion opportunities, build multi-threaded executive and technical relationships, develop strategic account plans, lead complex commercial negotiations (renewals, ELAs, consumption models), and partner with Solutions Engineering, Customer Success, and Product to deliver outcomes and shape the roadmap.

Own territory sales across NSW and Victoria State Government accounts, driving land-and-expand growth within existing customers. Build trusted relationships with senior stakeholders and channel partners, identify expansion opportunities, collaborate with cross-functional teams to design solutions, and ensure successful implementations that deliver measurable outcomes and revenue growth.

Lead and resolve billing, usage metering, and cloud cost escalations by diagnosing metering discrepancies, usage spikes, billing anomalies, and quota enforcement. Collaborate with Product, Engineering, and Finance to escalate bugs and improve visibility; create tooling, playbooks, and training to enable global teams; communicate cost impact to stakeholders and surface customer feedback to influence product roadmap.

Enterprise Account Executive responsible for managing named Major Accounts, driving net‑new revenue and platform expansion. Build multi‑year account plans, execute outbound and multi‑threaded deals, align executives, negotiate complex commercial agreements, and work with solutions engineers and partners to position Vercel as a strategic infrastructure partner for web and AI transformation.

Provide technical support and guidance for MongoDB cloud products; translate technical concepts for customers; troubleshoot issues across cloud and on-prem environments; advocate for customer needs with product and engineering teams; collaborate with global Technical Services to ensure successful deployments.

The Senior Cloud Security Consultant conducts security assessments, designs detection logic, automates tasks, and collaborates on client engagements to enhance security in cloud environments.

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

As a Solutions Engineer, you will provide technical expertise to prospective customers, supporting them in evaluating the Sonar product and ensuring successful adoption.

Act as a quota-bearing technical trusted advisor for enterprise customers: lead technical discovery, design bespoke architectures, deliver demos/PoCs across security, networking, Zero Trust and developer platforms, drive adoption/expansion, run technical QBRs, and leverage AI-augmented workflows to automate routine tasks.

Build and operate the next-generation MongoDB Cloud Storage Layer: design and ship production Rust services for multi-tenant distributed storage, diagnose performance regressions, mentor engineers, drive cross-team technical strategy, participate in on-call rotation, and contribute to roadmap and customer escalations.

Design, implement, and operate high-performance, multi-tenant cloud-native storage services. Develop production-ready Rust applications, diagnose performance regressions, lead cross-team initiatives, contribute to storage feature design, and support operational excellence including on-call duties.

Lead a team of Cloud Support Engineers for MongoDB Atlas, manage escalations, diagnose performance and architecture issues, collaborate globally, drive knowledge-sharing and case deflection, and support customer success and account growth.

Build systems, tooling, and deployment workflows to package, validate, and deliver Voyage embedding models across cloud providers and third-party environments. Improve model server performance, ensure deployment correctness and observability, debug cross-stack issues, and collaborate with model-serving teams and external partners for reliable production deployments.

Hunter-focused senior account executive responsible for acquiring new Digital Native customers across ANZ and expanding adoption among early-stage MongoDB customers. Engage technical and executive stakeholders, collaborate with cloud and consulting partners, and participate in AI and startup ecosystem initiatives to drive pipeline and growth.

Lead design and delivery of scalable data architecture and pipelines. Build, maintain and optimise ETL/data infrastructure, collaborate with stakeholders to translate requirements, ensure data quality and performance, and adopt modern data engineering practices and tools to enable trusted, business-ready datasets.

Supports ServiceNow AI Control Tower and CMDB operations by registering and validating AI assets, improving data quality, mapping ownership and relationships, maintaining governance procedures, and producing operational reporting. Collaborates with platform, security, risk, asset management, application, and service owner teams. Handles business analysis, user stories, testing, UAT, implementation, remediation, audit evidence, and BAU handover while supporting ITSM processes and regulatory readiness.