Top AWS Jobs in Sydney

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.

Lead the design and technical direction of Immutable Audience’s data platform. Build real-time streaming infrastructure with Kafka, Flink, and ClickHouse; own BigQuery warehouse datasets and dbt transformations; and establish standards for data quality, testing, observability, cost, and latency. Mentor engineers, guide architecture decisions, communicate trade-offs to stakeholders, and integrate AI tooling into engineering workflows and platform capabilities.

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.

Build and maintain full-stack software for legal practice management applications. Responsibilities include developing responsive front-end applications with JavaScript or TypeScript, building C#/.NET backend services and APIs, integrating LLMs and emerging AI tools, collaborating on cloud deployments, contributing to architecture, writing tests, fixing bugs, and participating in agile delivery.

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.

Designs, configures, integrates, tests, deploys, and sustains mission-critical IT, logistics, communications, and supporting systems across distributed and expeditionary environments. Analyzes architectures and dependencies, develops reconfiguration and rollback plans, troubleshoots complex integration issues, maintains configuration baselines, supports cybersecurity and RMF compliance, and validates interoperability and operational performance. Provides technical guidance to junior personnel and supports contingency operations, DDIL environments, exercises, and rapid system relocation or adaptation.

Designs, integrates, tests, deploys, and sustains IoT, RFID, GPS, environmental, and edge sensor systems for defense logistics and operational environments. Develops integration architectures, interface requirements, deployment strategies, documentation, and performance assessments. Troubleshoots hardware, communications, software, and data issues; integrates sensor data with enterprise analytics and asset visibility platforms; supports field validation, exercises, and contingency operations. Coordinates with government, engineering, cybersecurity, logistics, vendor, and coalition stakeholders while mentoring junior personnel.

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.

Lead FP&A activities including forecasting, budgeting, financial modelling (P&L, cashflow, ARR), scenario analysis, and monthly reporting. Provide insights on ARR, revenue, AWS/SaaS costs, people costs, margins and profitability. Partner with divisional leaders on commercial deals, client/product profitability and strategic initiatives. Support month-end controls, maintain planning model integrity, and drive process improvements across forecasting and reporting.

Design, develop, and maintain production-ready applications and scalable service layers. Build RESTful APIs, write testable code and test automation, troubleshoot full-stack issues, participate in code reviews, and contribute to architecture and legacy system modernization within cross-functional agile teams.

Design, build, and maintain scalable developer platforms (CI/CD, IaC) and infrastructure using Terraform and AWS. Implement observability, reliability, cost optimization, and security practices. Collaborate with stakeholders and cross-functional teams to embed secure, developer-centric workflows and track business impact across enterprise environments.

Build and ship full-stack features for the Learning Portal (Next.js UI, Go services, Supabase edge functions). Design scalable systems and infrastructure (IaC with SST/Pulumi, AWS, Vercel), implement testing (Vitest/Jest, Cypress/Playwright), perform PR reviews, maintain docs, run CI/CD, and be on-call to ensure reliable student-facing experiences.

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.