Top AWS Jobs in Sydney

Lead Nine’s AI Engineering function by mentoring engineers, setting software engineering standards, designing scalable AI systems across GCP and AWS, and ensuring reliable production operations. The role includes architecture, code reviews, CI/CD, testing, infrastructure as code, incident management, Agile delivery, and collaboration with AI Product teams to ship internal automation and audience-facing AI products.

Build and maintain scalable ETL pipelines, data models, quality checks, monitoring, and reporting data products for finance and advertising revenue. Centralize enterprise, order management, and ad-server data to support forecasting and decision-making. Collaborate with product, data science, analytics, and business teams; contribute to cloud infrastructure and workflow automation; and mentor engineers.

Build and maintain production AI software, including backend services, APIs, and data pipelines using Python across AWS and GCP. Apply engineering standards through testing, code reviews, modern architecture, CI/CD, observability, and monitoring. Collaborate with technical and AI product teams to deliver maintainable software components and support high-availability systems. Experience with REST APIs, microservices, cloud environments, and DevOps practices is required.

Advise enterprise customers on Databricks-based data and AI transformations. Design and optimize Lakehouse architectures, data pipelines, governance, analytics, machine learning, and GenAI workloads. Lead architecture workshops, technical roadmaps, implementation support, executive presentations, and customer enablement. Mentor teams, resolve technical blockers, support presales and proposals, and develop reusable reference architectures and practice assets.

Leads the full lifecycle of medium-sized software projects, including architecture, development, testing, deployment, production support, and continuous improvement. Writes and reviews secure, production-ready code, resolves technical issues, mentors junior engineers, and collaborates with product owners and cross-functional teams. The role focuses on digital marketing and audience amplification platforms using modern cloud, microservices, event-driven, frontend, database, DevOps, and application security technologies.

The SOC Analyst manages security incidents, monitors security systems, coordinates incident response, documents events, conducts post-incident reviews, and recommends risk-reduction improvements. The role provides security guidance to stakeholders, oversees central security services, reviews architecture and designs, manages vulnerability platforms, supports SIEM/SOAR and security tooling, and maintains relationships with security authorities. Expertise is required across cloud security, PKI, email security, antivirus, application scanning, AWS, Linux, Windows, IIS, and Kubernetes.

Design scalable, resilient, and high-performance solutions on GCP using services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Run. Translate business requirements into technical architectures, develop data and integration solutions, and communicate designs to stakeholders. Preferred experience includes Docker, Kubernetes, GKE, multi-cloud environments, GCP certifications, and architecture frameworks such as TOGAF and SAFe.

Develop full-stack applications using an object-oriented language, JavaScript frameworks, cloud platforms, SQL Server, Redis, and AI-assisted development tools. Required technologies include C#/.NET, Java, C++, React.js, Next.js, Angular, Azure, AWS, and GCP.

Develop and maintain scalable batch and streaming data pipelines using native GCP services. Design data warehouses and models in BigQuery, write Python and SQL, and use Apache Beam or Spark for data processing. Preferred experience includes AWS or Azure integration, Kafka, containerization with Docker and Kubernetes, and GCP data governance, security, IAM, and compliance.

Gather business requirements and design conceptual, logical, and physical data models, data flows, databases, and data warehouse solutions. Collaborate with development, ETL, and business teams to ensure data quality, consistency, and performance. Produce solution design and technical documentation while applying SQL, relational database, modeling, cloud, ETL, and BI knowledge.

Designs and administers GitHub Enterprise environments, organization provisioning, APIs, advanced Git workflows, branching strategies, and conflict resolution. Builds reusable GitHub Actions, manages runners and environments, configures DevSecOps tooling, and supports cloud-native infrastructure across AWS, Azure, and GCP using Docker and Kubernetes.

Leads end-to-end solution architecture and technology strategy for enterprise digital transformation programs. Designs scalable, secure, cloud-native microservices using Java and Spring Boot, defines architecture artifacts and roadmaps, and guides development teams. Oversees cloud, integration, DevOps, security, governance, and modernization initiatives. Collaborates with executives, clients, architects, and delivery teams, conducts architecture reviews, supports technical proposals, and drives enterprise standards, performance, reliability, and successful delivery.

Leads end-to-end IBM ECM and FileNet solution architecture initiatives, including platform design, modernization, migration, cloud transformation, and enterprise integrations. Conducts architecture workshops, supports proposals and estimates, governs delivery risks, collaborates with enterprise and business stakeholders, and mentors delivery teams. Requires extensive IBM ECM/FileNet expertise, Java/J2EE integration knowledge, strong stakeholder engagement, and familiarity with Agile and Waterfall methodologies.

Designs enterprise AI solutions using machine learning, NLP, deep learning, generative AI, LLMs, RAG, and agentic frameworks. Builds scalable architectures involving cloud platforms, microservices, APIs, distributed systems, data platforms, MLOps, LLMOps, CI/CD, Docker, and Kubernetes. Translates business needs into optimized AI systems while managing stakeholder communication, cost, risk, and performance.

Provide AI consulting and engineering expertise focused on generative AI, LLMs, prompt engineering, embeddings, and RAG pipelines. Build solutions using Python, ML frameworks, cloud AI platforms, vector databases, and orchestration tools. Apply MLOps, data engineering, and model lifecycle practices while translating complex AI concepts into business outcomes. Collaborate with senior stakeholders and architecture teams in agile environments.

Designs and executes manual test collateral across integration, API, backend, and GUI levels. Performs API testing with Postman, manages tests and defects in Tricentis qTest, supports integration and contract testing, and reports quality metrics. Collaborates with technical and business teams while following government standards, governance, and audit requirements.

Lead enterprise IBM ECM and FileNet solution architecture initiatives, including platform design, modernization, migration, cloud transformation, and application integrations. Conduct architecture workshops, manage stakeholders, support proposals and estimation, and provide governance and technical leadership throughout delivery. Mentor teams and ensure adherence to architectural standards. The role requires extensive IBM FileNet experience, strong Java and API integration knowledge, content migration expertise, and excellent consulting and communication skills.

Designs, develops, and supports secure GraphQL APIs, Java/Spring Boot services, REST integrations, and microservices. The role contributes to AWS cloud modernization, containerization, API governance, architecture reviews, observability, and production support in SLA-driven managed services environments. Responsibilities include cloud architecture governance, security implementation, performance optimization, incident and change management, root cause analysis, technical documentation, requirements gathering, module development, and automated testing.

Analyze and validate large datasets from multiple sources using SQL and Alteryx. Optimize and automate workflows, perform reconciliation and root cause analysis, gather requirements, report status, and communicate with stakeholders and executives. The role also supports dashboard and KPI reporting, data warehousing initiatives, process improvement, documentation, escalations, and customer-facing issues.

Designs and assesses technical solutions for digital, IT replacement, mobile banking, and payment initiatives. Responsibilities include enterprise architecture, systems integration, vendor and third-party platform delivery, API and microservices integration, cloud platform implementation, Kubernetes and OpenShift support, architecture governance, technical reviews, platform upgrades, release readiness, and implementation support.

Designs, develops, administers, and supports enterprise Kafka and event-streaming platforms across AWS and Kubernetes. Responsibilities include Kafka development, platform reliability, upgrades, security, monitoring, troubleshooting, automation, governance, incident support, and documentation. The role serves as a senior technical lead, mentors engineers, guides application teams, and leads platform modernization, migration, and resilience initiatives.

Build and maintain CI/CD pipelines, cloud-native infrastructure, automation, and reliable production platforms. Implement infrastructure as code, containerization, orchestration, monitoring, Linux administration, and DevSecOps practices across Azure and AWS environments. Collaborate with development, testing, security, and business teams to improve software delivery and platform stability.

Designs, implements, and supports enterprise data center network transformation and migration initiatives. Responsibilities include Cisco data center infrastructure administration, routing and switching, network security and load balancer integration, troubleshooting, infrastructure assessments, technology refreshes, documentation, and stakeholder coordination. The engineer supports large-scale modernization programs while ensuring network availability and performance.

Supports DevOps environments by developing Java REST APIs, managing API gateways, and using CI/CD, version control, API testing, and Docker deployment tools. Works with Linux servers, Splunk SPL, and Remedy change and incident management processes. Preferred skills include Python, Ansible, Nomad, Consul, AWS, and React.

Develop machine learning, deep learning, generative AI, LLM, optimization, and big data solutions for consulting clients. Build predictive models, RAG pipelines, conversational assistants, autonomous agents, and simulation models supporting AI-driven digital transformation. The role requires strong statistics, quantitative analysis, Python proficiency, and collaboration with clients and consulting teams.