Top AWS Jobs in Sydney

Lead enterprise AWS migration and cloud transformation engagements, owning delivery outcomes, customer relationships, technical strategy, and solution implementation. Assess current environments, develop migration roadmaps, design secure landing zones and distributed architectures, and guide infrastructure and operations work. Lead consultant pods, manage risks and stakeholders, contribute to estimates and reusable accelerators, and coach senior consultants. Apply AWS migration tools, infrastructure as code, CI/CD, observability, automation, disaster recovery, cost optimization, and modernization practices.

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.

Build and maintain HEO Inspect, a cloud-based non-Earth imaging data and insights platform. Responsibilities include developing backend-focused fullstack features, creating responsive interfaces and visualizations, automating space operations, deploying R&D algorithms to production, and delivering web applications, APIs, and integrations that meet customer needs.

Performs manual QA testing for C#/.NET applications deployed on AWS, covering backend services, SQL Server data validation, and JavaScript web interfaces. Responsibilities include test planning, test data preparation, script execution, defect tracking, regression testing, usability and performance testing, release management, and test reporting. Collaborates with developers and stakeholders in an Agile, fast-release environment to ensure reliable software delivery.

Leads technical sales engagements for Wiz’s cloud and AI security platform. Partners with sales, product, engineering, customer success, and executive stakeholders on strategic opportunities, demonstrations, proof-of-concepts, deployments, troubleshooting, security architecture, and platform messaging. Provides field-driven product feedback and thought leadership while guiding prospects and customers through complex cloud, DevOps, Kubernetes, networking, and security use cases.

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.

Serves as the highest technical escalation point for enterprise customers, diagnosing complex issues across integrations, workflows, APIs, identity systems, and customer environments. Reproduces and triages bugs, partners with Engineering and Product, improves escalation processes, strengthens documentation, and supports customer-facing teams. Uses logs, observability tools, payloads, and debugging utilities to resolve issues and identify systemic improvements.

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.

Analyze utility customer data, build dashboards and visualizations, deliver bespoke analyses, validate outputs, and communicate insights to technical and non-technical stakeholders. Support customer delivery by partnering with power engineers and data engineers, troubleshoot data issues, and help translate recurring analyses into product features. Contribute to documentation, playbooks, tooling, and automation that improve analytics delivery.

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.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Leads the design and production delivery of generative AI solutions for clients. Manages and mentors data scientists, sets engineering standards, oversees solution quality and documentation, supports technical scoping and pre-sales, and helps shape reusable AI components and team strategy. Requires strong AI and machine learning expertise, production architecture experience, Python skills, cloud-native development knowledge, and commercial communication abilities.

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.

Own and execute Algolia’s APAC partner strategy across consulting, systems integration, technology, and cloud partners. Recruit, onboard, enable, and manage partners while shaping agentic AI solutions that incorporate Algolia. Drive joint go-to-market activities, co-selling, co-marketing, deal registration, account mapping, pipeline creation, opportunity progression, and customer wins. Collaborate with sales, solutions engineering, marketing, product, engineering, and regional leadership to align partner initiatives with revenue goals.

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.

Leads digital transformation, data services, and product implementation projects for public and private-sector clients. Advises clients on technology strategies, cloud platforms, solution design, and digital delivery. Manages Agile projects and multidisciplinary teams, supports business development and proposals, develops digital service offerings, engages technical and non-technical stakeholders, and mentors junior colleagues. The role also contributes to digital best practices and innovation across Arcadis’s global communities.

Build and maintain Go-based backend services, APIs, microservices, and CLI tools for internal developer experience. Automate operational workflows, access management, governance, and infrastructure provisioning. Design scalable systems integrating SaaS platforms, systems of record, and internal infrastructure. Deploy and operate services on Kubernetes/EKS, while profiling and optimizing performance. Collaborate with cross-functional teams to deliver reliable platform capabilities and self-service tooling.