Top AWS 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.

Design, develop, and own scalable big data and software solutions for Atlassian’s internal data platform. Collaborate with engineers and architects to ship features, uphold coding standards, and improve security, reliability, availability, performance, and operational excellence. Build and deploy services using distributed systems, cloud platforms, and big data technologies while applying data-driven problem solving.

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.

Implements, operates, and improves enterprise security controls across identity, endpoints, cloud, SaaS, networks, and data. Builds automation using scripts, APIs, infrastructure-as-code, and CI/CD security checks. Supports IAM, endpoint protection, DLP, vendor risk assessments, physical access integrations, incident troubleshooting, and security operations. Partners with engineering, IT, legal, privacy, and business teams to deploy secure baselines, remediate risks, monitor control health, and improve enterprise security capabilities.

Implements and operates enterprise security controls across identity, endpoints, cloud, SaaS, networks, and data. Automates security workflows using scripts, APIs, infrastructure as code, and CI/CD checks. Maintains IAM, endpoint protection, DLP, device posture, and secure configuration baselines. Supports vendor risk reviews, insider-risk monitoring, physical access integrations, incident troubleshooting, on-call operations, documentation, and remediation of security gaps across corporate technology environments.

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.

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 end-to-end security incident response across GitLab’s cloud and corporate environments in the APAC region. Investigate complex incidents using DFIR methods, develop SIEM and detection capabilities, build automation and AI-assisted workflows, conduct root cause analysis, maintain response documentation, coordinate executive communications, and mentor engineers within a global 24/7 SIRT.

Develop and maintain high-traffic consumer weather web applications using JavaScript, React, and Next.js. Build accessible, responsive interfaces, integrate APIs, troubleshoot defects and performance issues, write tested reusable code, and collaborate with engineering, QA, product, and UX teams on releases and production improvements.

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.

Build and operate Qantas’s enterprise AI platform as a product, enabling self-service onboarding, deployment, monitoring, governance, security, and cost transparency for AI workloads. Lead technical design and engineering standards while writing production code, infrastructure as code, CI/CD pipelines, and MLOps capabilities across AWS SageMaker and Bedrock. Partner cross-functionally, translate architecture into implementation plans, mentor engineers, and deliver secure, observable, reproducible, and responsible AI platform capabilities.

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.

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.

Operate and improve Tenable vulnerability management across a large hybrid environment. Manage scanning, asset coverage, data quality, risk prioritization, remediation tracking, zero-day response, exceptions, reporting, compliance evidence, and integrations with ITSM, CMDB, SIEM, and patching tools. Drive remediation across infrastructure, cloud, network, and application teams while automating workflows and coaching analysts.

Build and own customer-facing products end to end, from discovery and data modeling through development, release, measurement, and iteration. Work primarily across React and Laravel on AWS, with native mobile applications. Partner with product managers and customers to simplify contractor workflows involving time tracking, payroll, compliance, and job costs. Make product and technical tradeoffs, prototype rapidly with AI tools, review code, and help shape engineering practices.

Build and support AI-powered tools, integrations, automations, cloud-native microservices, and distributed systems using C#, .NET, and TypeScript. Design scalable APIs and event-driven solutions, contribute to architecture and technical strategy, ensure security and performance, collaborate with cross-functional teams, and mentor engineers. The role focuses on connecting systems, unlocking data, and enabling AI-driven experiences across the business.

Provide expert technical support to APAC customers using the Observe observability platform. Troubleshoot complex distributed systems, integrations, performance issues, and customer environments; manage escalations; collaborate with engineering and product teams; create documentation; participate in on-call support; improve tooling and automation; build AI support skills; and mentor junior engineers.

Leads reliability and infrastructure projects across teams, designing highly available AWS and GCP environments, observability standards, automation, security controls, disaster recovery, and cost optimization. Acts as incident commander, drives SLOs and error budgets, improves operational processes through automation and self-service tooling, and mentors engineers on production ownership. Requires expertise in cloud infrastructure, Kubernetes, Terraform, observability, Linux, networking, distributed systems, and AI-assisted development.