Top AWS Jobs in Sydney

The Senior Director, Engineering & Quality leads the execution of engineering outcomes for product development, focusing on architecture, quality strategies, operational performance, and risk management while mentoring cross-functional teams.

Supports sales growth by providing technical leadership to customers and prospects, delivering demonstrations, presentations, whiteboarding sessions, and proof-of-value engagements. Advises customers on cloud security across AWS, Azure, and GCP, develops test plans, supports account executives, represents the company at technical events, and stays current on product and industry developments. Travel of up to 40% is required.

Lead technical strategy and solution development for managed service provider partners. Architect cloud security solutions, deliver demos and enablement, build technical champions, support managed security offerings, and act as a trusted cloud security advisor. The role requires deep expertise across cloud platforms, DevSecOps, identity, containers, AI security, and multi-tenant MSP or MDR environments, with travel up to 40%.

Design and deliver production-grade GenAI and LLM applications end-to-end: architecture, cloud deployment, containerisation, APIs, data pipelines, evaluation and observability. Collaborate with clients and domain experts, mentor junior team members, conduct code reviews, and support technical scoping and proposals.

Own and evolve the AI-native platform and developer experience: build CI/CD, build/test/deploy loops, agent-safe sandboxes, cloud infra and cost controls, SLOs and observability, incident response, and platform capabilities that multiply engineering productivity across teams.

Own a product stream end to end by identifying customer problems, deciding what to build, developing and shipping full-stack solutions, and measuring adoption, retention, revenue, and production health. The role involves regular customer conversations with accounting and law professionals, rapid iteration, UX design using the company design system, observability, incident response, and AI-native development with Claude Code.

Own a customer-focused product stream end to end, from conversations with accounting and law professionals through product decisions, full-stack development, UX, deployment, and iteration. The role emphasizes customer discovery, rapid shipping, commercial outcomes, production health, observability, and ownership of adoption, retention, and revenue. Engineers work asynchronously, use AI-native development tools, and collaborate closely with product and customers.

Designs and operates secure, scalable hybrid-cloud platforms for a trading firm. Responsibilities include managing AWS, Azure, and Google Cloud environments; deploying Kubernetes, Spark, Kafka, and distributed databases; automating infrastructure with Terraform, Ansible, Jenkins, and GitLab; improving cloud governance; monitoring production systems; maintaining CI/CD pipelines; troubleshooting Linux environments; and leading technical initiatives while mentoring engineers.

Leads the global customer support function, overseeing support strategy, team development, incident and problem management, SLA performance, process optimization, and customer and partner experience. Partners with technology teams to address support needs across product development and lifecycle initiatives. Uses data-driven insights to improve support effectiveness and resolve customer issues while building strong stakeholder relationships.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Build and maintain full-stack features for secure, high-volume fintech and cryptocurrency transactions. Develop Golang and Java backend services, Node.js and TypeScript APIs, and React/Next.js applications. Integrate third-party systems, implement OAuth 2.0 authentication, work with microservices, and ensure security, performance, reliability, and observability. Contribute to architecture discussions, code reviews, technical documentation, and end-to-end feature ownership in a fully remote environment.

Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.

Own the design and delivery of a Guidewire InsuranceSuite functional or integration workstream. Responsibilities include translating requirements into solution designs, estimating work, configuring and coding in Gosu and Java, building integrations, conducting quality reviews, managing risks, mentoring consultants and developers, and collaborating with project and customer leadership. The role also contributes reusable assets, AI-assisted engineering practices, and successful cloud transformation delivery.

Support channel partners through technical presales activities, including demonstrations, proofs of concept, technical enablement, and solution support. Build partner technical expertise, develop strategic partner plans, identify influencers, address deal obstacles, and collaborate with field sales and product teams. Gather market and customer feedback, support product improvements, and maintain strong relationships with VARs and system integrators.

Drive revenue through complex enterprise sales opportunities for cloud data security solutions. Identify customer needs, architect technical solutions, deliver proof-of-value engagements and use-case demonstrations, and advise executive stakeholders. Coordinate cross-functional resources, support partner channels, and represent the company at marketing events. The role requires cloud security expertise, AWS or Azure knowledge, networking and database fundamentals, data protection knowledge, strong communication skills, and up to 50% travel.

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.

Build and maintain scalable software and messaging infrastructure using Java, Kafka, AWS, microservices, Docker, Kubernetes, and Terraform. Contribute to architecture, modernize legacy systems, improve reliability, participate in on-call support, and mentor engineers. Collaborate across disciplines on roadmaps, developer experience, documentation, and responsible use of AI-assisted engineering tools.

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.

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.

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.

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.

Designs and executes functional and non-functional testing for cloud, data, microservices, and container-based platforms. Builds and maintains scalable automation frameworks, reusable test libraries, CI/CD integrations, and quality feedback processes. Defines test strategies, validates data quality and integrations, investigates defects, reports quality metrics, and ensures traceability and auditability. Collaborates with engineering, architecture, product, business, and delivery teams while providing technical guidance and contributing to testing standards and continuous improvement.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.