Top Azure Jobs in Sydney

Owns strategic enterprise accounts in Australia’s financial services sector, developing executive relationships, creating expansion opportunities, and driving complex SaaS sales cycles. Responsibilities include account planning, pipeline generation, forecasting, territory strategy, executive engagement, and positioning Dynatrace across observability, cloud modernization, security, AI, automation, and digital experience initiatives. The role requires collaboration with technical, customer success, professional services, marketing, partner, and executive teams.

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.

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.

Build and deploy production software and configurations within a strategic customer’s engineering organization using Cloudflare’s platform. Own technical success, participate in engineering rituals and incident response, drive platform adoption, influence product direction, and maintain relationships with senior technical leaders. The role requires broad full-stack and cloud expertise, operational maturity, systems-design ability, and regular on-site customer collaboration.

Build and deploy customer-facing AI-powered solutions for LogicMonitor Edwin AI. Develop backend services, integrations, automations, and lightweight frontend experiences using Python, Java, JavaScript, TypeScript, and React. Implement APIs, telemetry pipelines, dashboards, cloud deployments, and observability workflows. Support prototypes, production rollouts, troubleshooting, and customer adoption while contributing reusable engineering patterns and product feedback.

Develops and executes cloud and systems integrator partner strategies across Australia. Recruits and nurtures strategic partnerships, generates sales pipelines, supports enterprise deal closure, and expands partner sales, presales, delivery capabilities, and certifications. Collaborates with sales, marketing, enablement, customer success, and solutions consulting teams to drive bookings and revenue growth. Requires strong enterprise technology sales, strategic thinking, complex deal management, and partner relationship-building skills.

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.

Develop and maintain high-fidelity detections across identity, endpoint, SIEM, and operating-system environments. Conduct hypothesis-driven threat hunts across large-scale telemetry, translate threat intelligence and investigations into detection rules, tune detection efficacy, investigate ambiguous attacker activity, and escalate likely intrusions with clear incident reports. The role also involves building hunting queries and dashboards, contributing to security content, and validating AI-assisted analysis and detection workflows.

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.

Develop and maintain large-scale Azure networking services, including IP address, metadata, configuration management, and authoritative network design systems. Diagnose network issues and performance bottlenecks, create practical technical solutions, collaborate with Microsoft teams and industry partners, and work with customers to improve networking experiences across Azure’s global data center infrastructure.

Architect, manage, and improve Nine’s Grafana-based observability platform across Kubernetes, cloud, and on-premises environments. Responsibilities include monitoring, logging, tracing, profiling, OpenTelemetry instrumentation, dashboards, alerting, incident response, infrastructure automation, security, compliance, and multi-tenant reliability. The role also mentors engineering teams and requires expertise in Kubernetes, Terraform, Helm, cloud infrastructure, CI/CD, scripting, and Grafana ecosystem technologies.

Leads a customer success team of cloud solution architects driving AI and cloud transformation with Microsoft technologies. Develops customer roadmaps, accelerates Copilot and Power Platform adoption, delivers measurable business value, manages executive relationships, resolves technical and business blockers, and improves retention and expansion. Oversees people managers, develops talent, shapes cloud and AI methodologies, and provides technical thought leadership on secure, resilient, AI-enabled architectures.

Lead customer-facing AI transformation engagements at Microsoft Innovation Hub. Conduct discovery, strategy sessions, envisioning workshops, architecture design, and rapid prototyping. Develop scalable, secure Azure and AI solution architectures, guide technology decisions, prioritize AI use cases, and coordinate cross-functional teams. Advise customers on application development, data platforms, AI management, security, and responsible AI while communicating complex technical trade-offs to technical and business stakeholders.

Twelve-month graduate program with two rotations focused on software engineering, big data, AI, SRE, DevOps, cloud platforms, and security engineering. The role involves developing and reviewing specifications, coding, bug fixes, testing, requirements analysis, data modeling, and resolving technical issues under senior guidance. Participants receive mentorship, training, feedback, and exposure to Agile and Waterfall methodologies while collaborating with stakeholders to develop innovative products.

Lead DevOps implementation across AWS and Azure, designing infrastructure as code with Terraform, managing CI/CD pipelines, configuration management, Kubernetes deployments, containerization, and automation. Mentor developers, promote DevOps practices, document solutions, and collaborate across engineering teams. Australian citizenship and 3–5 years of continuous residency are required; active security clearance is preferred. HashiCorp Vault, OpenShift, and AI agent experience are advantageous.

Develop and support C# and .NET platforms for billing, subscriptions, customer entitlements, premium listings, and agency booking integrations. Build scalable applications and RESTful APIs, troubleshoot production issues, improve reliability and performance, and collaborate with product and business stakeholders. The role includes testing, security best practices, Agile delivery, and participation in an on-call roster for business-critical systems.

Leads technical design and delivery of data engineering solutions migrating legacy data warehouses to Azure Databricks. Responsibilities include hands-on development, data modelling, ETL automation, DevOps, data quality, security, performance optimization, stakeholder collaboration, and mentoring onshore and offshore engineers. The role requires building scalable ingestion, curation, and transformation frameworks aligned with business requirements and architecture.

Drives Azure sales across an assigned territory by identifying customer needs, developing digital transformation opportunities, forecasting, building pipeline, and closing deals. Collaborates with account teams, partners, services, and marketing to create proposals, consumption plans, and deployment strategies. Engages business decision-makers, conducts competitive analysis, supports cross-selling and up-selling, and orchestrates internal and partner resources to accelerate customer adoption and revenue growth.

Leads client-facing architecture and implementation of State Street Alpha Data Platform and Data Services solutions. Responsibilities include requirements definition, solution design, implementation oversight, data integrations, testing, go-live support, defect resolution, scope management, vendor collaboration, and post-launch adoption. The role requires expertise in asset management data across front, middle, and back offices, financial data domains, data governance, SQL, and business analysis and project management.

Designs, develops, configures, integrates, and supports enterprise IBM FileNet, Case Manager, and Business Automation Workflow solutions. Responsibilities include customizing IBM Content Navigator, developing APIs and plugins, configuring workflows and case types, performing deployments and migrations, troubleshooting production issues, optimizing performance, documenting solutions, and participating in Agile development practices.

Lead enterprise Data and AI transformation engagements using Databricks across AWS and Azure. Define data strategies, roadmaps, governance frameworks, and modern Lakehouse architectures. Design AI-enabled data products using Mosaic AI, GenAI, RAG, Vector Search, MLflow, and agentic AI. Advise executive stakeholders, facilitate architecture workshops, support solution pursuits, and develop reusable architecture patterns for the Data and AI practice.

Assesses cyber and technology risks across systems, applications, cloud environments, and third-party solutions. Reviews architectures, evaluates security controls, recommends risk mitigation measures, prepares security reporting for IT leaders and executives, and supports initiatives improving organizational resilience and security frameworks. The role requires knowledge of ISO 27001, NIST 800-53, AWS or Azure, application security, risk management, and security and privacy controls.

Designs, builds, tests, and maintains scalable full-stack software using Java and React. Responsibilities include feature design, code reviews, cloud-native development, debugging, performance optimization, containerization, CI/CD, automated testing, and collaboration with product and engineering teams. The role emphasizes technical growth, mentorship, quality engineering, and adoption of modern and AI-assisted development tools.

Designs and implements enterprise data governance frameworks, operating models, policies, and processes. Leads Informatica CDGC implementation, metadata and business glossary management, data lineage, classification, stewardship, data quality, compliance, and integration with cloud data platforms. Facilitates stakeholder workshops, governance councils, requirements gathering, maturity assessments, and executive reporting.

Provides operational support for Windows and Linux infrastructure, Azure, Microsoft 365, identity services, networking, backups, monitoring, and local data centers. Resolves incidents, supports business-critical applications and deployments, performs patching and disaster-recovery testing, and improves reliability through scripting, automation, documentation, and proactive monitoring. Requires strong enterprise infrastructure experience, with preferred exposure to containers, CI/CD, infrastructure as code, and financial-services applications.