Top AWS Jobs in Sydney

Lead end-to-end cloud migration and modernisation programs: run discovery and architecture reviews, lead client workshops, manage delivery teams and stakeholder relationships, mentor consultants, perform hands-on implementation (IaC, automation, migrations), and contribute to scoping, proposals, and reusable IP.

Design and deliver secure, scalable network infrastructure solutions across on-premises, hybrid, and cloud environments. Responsibilities include enterprise network transformation, cloud connectivity, data center modernization, network security segmentation, infrastructure automation, technology migrations, architecture reviews, and technical design governance. The role requires collaboration with architects, engineers, project teams, stakeholders, and enterprise clients, along with producing detailed technical documentation and translating business requirements into practical solutions.

Design and implement enterprise data governance frameworks, policies, and operating models. Establish stewardship, metadata management, lineage, and data quality practices. Facilitate stakeholder workshops, embed governance into delivery, support governance tooling adoption (data catalogs, metadata platforms), and provide advisory and mentoring to uplift organisational governance capability.

The Cloud Engineer II will join the SRE team to improve service mesh and Kubernetes architecture across AWS and Azure environments. Responsibilities include designing and maintaining reliability tools, monitoring systems, analyzing metrics, troubleshooting performance issues, improving availability, reducing operational toil, and optimizing cloud costs. The role requires hands-on experience with Kubernetes, Terraform, Helm, cloud deployments, container diagnostics, Python or Shell scripting, and mature development and deployment practices.

Lead architecture and delivery of a composable, API-first Core Commerce Platform powering checkout, payments, OMS, inventory availability, loyalty, and post-order experiences. Drive integration of packaged solutions (SFCC, Fluent Commerce), payments, social and agentic commerce, and AI-native capabilities. Own SLAs, reliability, security (PCI-DSS), roadmap, and engineering standards while building and leading high-performing, on-site platform teams.

Leads operational support, stability, security, resilience, and continuous improvement for ASX’s SWIFT messaging and payments ecosystem. Responsibilities include managing SAA, SAG, SWIFTNet, HSM, PKI, AWS services, incidents, root-cause investigations, disaster recovery, releases, security controls, and service improvements. The role coordinates technical teams and vendors, mentors support analysts, manages major incidents and operational risks, and participates in 24x7 on-call coverage, weekend activities, resilience testing, and regulated financial-market operations.

Designs, builds, and optimizes cloud-native data platforms, batch and real-time pipelines, and AI-powered data products using Snowflake, Databricks, AWS, and Azure. The role includes data architecture, governance, quality, observability, security, performance and cost optimization, infrastructure as code, and direct client collaboration. The engineer also contributes to technical design, estimation, delivery planning, and modern AI capabilities such as semantic search and RAG.

Build and maintain highly available, scalable, and secure AWS cloud infrastructure for AI-powered assessment products. Develop infrastructure provisioning, configuration, automation, and release systems using Terraform, Ansible, Docker, GitHub Actions, and Linux. Support live production systems, databases, monitoring, and deployments while collaborating across engineering, product, and design teams. Lead infrastructure projects involving planning, orchestration, migration, deployment, and delivery.

Build and deliver production-grade generative AI and LLM applications using Python, machine learning, cloud platforms, APIs, SQL, and data pipelines. Contribute to AI evaluation, observability, testing, code reviews, and technical standards. Collaborate with clients and domain experts to define solutions, explain technical concepts, and communicate risks and trade-offs. The role supports end-to-end AI/ML delivery while developing technical and consultative expertise.

Develop, test, deploy, and operate machine learning pipelines and AI products using Python, SQL, cloud platforms, and infrastructure-as-code tools. Build generative AI and traditional ML solutions, prototype proofs of concept, analyze data quality and coverage, and support dashboards and reporting. The role follows agile engineering practices, including test-driven development, continuous delivery, pair programming, and shared DevOps ownership.

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

Lead operations, maintenance, security, performance, and lifecycle management for complex AWS cloud environments. Serve as the primary escalation point for incidents, enforce identity and access controls, optimize costs and reliability, modernize architectures using AWS Well-Architected principles, and automate manual work. Lead and mentor cloud engineering teams, manage vendors, apply ITIL practices, and build strong client and stakeholder relationships.

Provide technical leadership for Akuity’s SaaS platform by designing, building, testing, and improving scalable developer and infrastructure tools. Develop server-side services in Go, guide architecture for distributed systems, mentor engineers, promote best practices, and collaborate across engineering, design, and product teams. The role focuses on Kubernetes-based platforms, developer experience, scalability, and reliable infrastructure operations.

Own security risk and compliance programs across SOC 2, ISO/IEC 27001, and ISO/IEC 42001. Manage risk assessments, audits, vendor risk, customer security reviews, evidence automation, AI governance, incident response, and security culture initiatives. The role also develops hands-on expertise in AWS security, detection and response, cloud posture management, and vulnerability management while partnering closely with engineering, sales, legal, and enterprise customers.

Lead the design and development of modern data platforms, focusing on scalable architecture and high-performance data pipelines while ensuring security and compliance.

The Full Stack Software Engineer will develop, integrate, and deploy AI technologies, focusing on building scalable web applications and ensuring a great user experience.

Lead data strategy and architecture for AI-native SaaS, building secure, tenant-isolated context and retrieval layers, data platform, integrations and eventing. Define data contracts, models, and observability; make buy-vs-build decisions; mentor and grow a small Data team; partner with Product, Engineering, AI and Platform to enable reliable agentic AI features and compliant data access.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Serve as a trusted strategic advisor, define solution roadmaps and enterprise architecture across the Atlassian ecosystem, design integrations and governance for regulated environments, guide change management and user adoption, prototype custom solutions, and drive thought leadership and account growth.

Own the Android app end to end, including architecture, performance, releases, app store presence, experimentation, and roadmap. Lead and mentor mobile engineers, establish technical direction, and deliver polished native experiences. Partner with engineering and product leadership on growth, onboarding, and retention initiatives. Ship, instrument, measure, and iterate quickly in a PLG and A/B testing environment, while helping scale the mobile team.

The role involves designing and building cloud-native data platforms and pipelines, optimizing data storage, and consulting with clients on data solutions. It requires hands-on engineering skills and experience with modern data technologies.

The role involves leading data platform engineering, defining technical direction, advising on modern data strategies, and mentoring teams in a consultancy environment.

The Lakebase Sales Specialist will generate new revenue for Databricks Lakebase by engaging application development teams, driving strategic account engagements, and collaborating cross-functionally to enhance Lakebase sales efforts and marketplace presence.

Build and ship a production project for Agora, a decentralized distributed training system. Develop multiprocessing, asynchronous I/O, and threading components; work with large-scale training infrastructure across AWS and GCP; contribute daily to production code through reviews and mentorship; and present final project results to engineering and research teams.

Lead mainframe modernization efforts: analyze problems, design and test engineering solutions, integrate and automate systems, plan infrastructure projects, collaborate with architects and PMs, and drive process improvements across cloud and mainframe environments.