Top AWS Jobs in Sydney

Build, maintain, debug, and optimize data pipelines across AWS and GCP. Support data ingestion, transformation, warehousing, testing, monitoring, database performance, backup and recovery. Collaborate with cross-functional engineering teams in an agile environment, troubleshoot production issues, contribute to cloud architecture and operational best practices, and provide technical handover and escalation support.

Design, build, and operate scalable web services and platform capabilities for customer operations. Lead technical design, architecture decisions, code reviews, documentation, API integrations, Infrastructure as Code, observability, and production reliability. Develop AI-assisted and agentic systems, collaborate with product and QA teams, and deliver major technical initiatives from discovery through production while improving engineering practices and platform maturity.

Provides analytical and data support for private health insurance, translating stakeholder needs into insights, reporting, data products, and decision support. Analyzes membership, claims, revenue, benefits, and KPI data; maintains data quality; supports budgets and forecasts; automates processes; contributes to analytics initiatives; and communicates findings to technical and business stakeholders. The role also promotes data literacy, continuous improvement, and knowledge sharing.

Deploys, operates, secures, and maintains enterprise integration infrastructure across development, staging, and production. Responsibilities include managing messaging and API platforms, building infrastructure as code with Terraform, Ansible, and Helm, operating CI/CD pipelines, supporting Kubernetes and Docker, and implementing high availability, disaster recovery, monitoring, certificate management, and secrets handling. The role also creates operational documentation and collaborates with engineering, cloud, cybersecurity, identity, and vendor teams.

Lead strategic AI and agentic systems consulting opportunities for enterprise and government clients. Responsibilities include executive advisory, discovery workshops, architecture reviews, transformation roadmaps, presales, solution shaping, engagement leadership, capability development, reusable IP creation, and scalable service offering development. The role requires connecting AWS cloud, data, AI, intelligent automation, and modernisation capabilities into commercially valuable customer propositions while coaching consulting teams and influencing senior stakeholders.

Develop statistical and machine learning models for property valuation and market insights. Responsibilities include assembling and cleaning large datasets, engineering features, tuning and validating models, creating visualisation tools, deploying models to production with ML Engineers, documenting work, and presenting findings. The role uses Python, SQL, AWS, BigQuery, Docker, and related data science technologies in a collaborative team.

Provide technical escalation support for complex Azure/AWS cloud application and infrastructure issues. Own critical customer escalations, troubleshoot IaaS/PaaS and App Services, drive resolution, mentor peers, improve product and support processes, and coordinate with account and engineering teams to prevent and resolve high-risk incidents.

Own and improve the reliability, quality, governance, and observability of the company’s internal data platform. Build production data pipelines and integrations, implement testing and validation, document lineage, enable self-service analytics, and automate operational support. Collaborate with product engineers, delivery teams, and data specialists while using AI-assisted development tools to improve data engineering practices.

Designs, deploys, and operates secure, scalable AWS and Kubernetes environments for enterprise customers. Builds infrastructure-as-code automation, CI/CD pipelines, observability, and production release processes. Troubleshoots Linux, containers, networking, and distributed systems while improving reliability, security, and performance. Partners directly with customers and internal teams on technical requirements, deployment architecture, incident resolution, and continuous improvement.

Lead AWS DevOps platform engineering and operations, including Terraform governance, Jenkins CI/CD optimization, deployment automation, observability, SRE practices, cloud security, and production support. The role drives standardization, operational excellence, resilience, stakeholder alignment, technical decision-making, and engineer mentoring while contributing hands-on to delivery outcomes.

Lead cloud infrastructure operations, automation, monitoring, troubleshooting, migrations, and platform engineering. Manage AWS services, infrastructure as code, CI/CD pipelines, Kubernetes and Docker environments, observability tooling, networking, security, and operational best practices. This is a six-month contract with possible extension based in Sydney or Melbourne.

Conduct cloud, application, and DevSecOps security assessments; review vulnerabilities and misconfigurations using Orca Security and GitHub Advanced Security; integrate security controls into CI/CD pipelines; assess cloud, container, Kubernetes, IaC, and software supply chain risks; guide remediation; develop security standards and reports; and collaborate with engineering and stakeholder teams.

Design, build, and maintain Snowflake data warehouse and lakehouse solutions. Develop batch, streaming, and near-real-time ETL/ELT pipelines; integrate structured and unstructured data; implement dimensional models; and optimize Snowflake performance. Build Snowflake objects, automate ingestion and validation, support CI/CD and infrastructure automation, and enforce data governance, security, privacy, masking, auditing, and access controls across AWS and Azure data platforms.

Leads enterprise security architecture, defining security controls, requirements, patterns, standards, risk assessments, and solution architectures. Collaborates with business, architecture, engineering, vendors, and delivery teams to protect systems, networks, and information. Advises executives, supports security strategy and emerging capability assessments, manages complex initiatives, and mentors security architects. The role also covers cloud security, Agile and DevOps environments, RESTful architectures, and secure Agentic AI solutions.

Designs, configures, governs, and optimizes AI-driven Next Best Action strategies in Pega Customer Decision Hub. The role translates business goals, customer insights, and data into scalable decision logic, leads experimentation and performance measurement, ensures privacy and regulatory compliance, and provides senior expertise and coaching across Martech and customer lifecycle management teams.

Own backend-heavy full-stack product surfaces from architecture and delivery through production operations. Responsibilities may include answer retrieval and verification, identity and billing, public APIs, integrations, and AI-powered workflows. The role requires operational ownership, observability, performance management, incident response, clear written communication, and close product collaboration. The engineer will work remotely from Sydney with the New Zealand engineering team.

Develop and maintain secure, automated DevOps and platform engineering capabilities. Responsibilities include AWS infrastructure, Terraform-based Infrastructure-as-Code, CI/CD pipelines, containerized workloads, observability and OpenTelemetry, automated testing, security controls, and developer enablement. The role creates reusable tools, templates, engineering standards, and documentation while improving delivery speed, reliability, consistency, and productivity in a regulated enterprise environment.

Staff Enterprise Security Engineer responsible for securing internal systems, endpoints, networks, identities, SaaS tools, and AI agent workflows. The role sets technical direction, assesses enterprise risks, reviews tools and agents, performs threat modeling, develops security standards and controls, and automates security operations. Success requires hands-on enterprise security engineering, production service ownership, strong coding and automation skills, and the ability to influence teams without direct authority.

Embed with enterprise clients to define outcomes and rapidly build production-grade AI solutions. Design agentic AI systems using Anthropic and AWS, including RAG pipelines, multi-agent orchestration, LLM assistants, evaluation frameworks, and responsible AI controls. Develop and deploy models with Amazon Bedrock and SageMaker, integrate solutions with enterprise platforms, and deliver end-to-end AI systems while collaborating directly with clients across regulated industries.

Provide expert technical guidance to large customers on MongoDB architecture, performance, recovery, security, and operations. Troubleshoot and optimize production deployments, build internal tooling and automation, document solutions, deliver training, and mentor peers. Work closely with product and engineering teams to improve customer outcomes.

Own a book of named major enterprise accounts in ANZ to drive renewals, upsells, cross-sells and net revenue retention. Identify whitespace and expansion opportunities, build multi-threaded executive and technical relationships, develop strategic account plans, lead complex commercial negotiations (renewals, ELAs, consumption models), and partner with Solutions Engineering, Customer Success, and Product to deliver outcomes and shape the roadmap.

Lead the evolution of customer onboarding and data conversion through AI, automation, AWS cloud services, and data intelligence. The role designs scalable automation, improves data quality, optimizes platforms and pipelines, develops predictive capabilities, and partners cross-functionally to reduce migration risk and improve customer outcomes.

Manages and supports enterprise Windows Server environments, applications, and Active Directory. Responsibilities include operational support, troubleshooting, project delivery, automation, stakeholder engagement, and participation in an on-call roster. The role uses Active Directory, Group Policy, SCCM, PowerShell, and potentially Azure or AWS cloud services. It involves a 60% onsite and 40% remote work arrangement and may require work across university campuses.

Design, develop and maintain backend APIs for various services, optimize performance, and collaborate with teams for product strategy alignment.

Designs, deploys, and supports application security platforms, including WAF and cloud-based controls. Leads architecture reviews, security integrations, configuration, troubleshooting, product evaluations, roadmap development, operational readiness, and lifecycle management. Acts as the application security subject matter expert, advises stakeholders, supports incident response planning, and mentors team members. Requires strong DevSecOps, container security, infrastructure-as-code, scripting, API integration, web application, networking, and enterprise collaboration experience.