Top AWS Jobs in Sydney

Architects and operates highly available multi-cloud infrastructure across APAC, primarily on Microsoft Azure. Builds Infrastructure as Code and CI/CD automation, improves observability, manages incidents and root-cause analysis, and modernizes platform self-service capabilities. Partners with security and software teams on cloud governance, identity access management, vulnerability mitigation, cost optimization, and resilient architecture.

Designs application building blocks and scalable, resilient IT solutions for client business needs. Collaborates with technical leads, product owners, architects, developers, testers, and security teams to create solution designs, support delivery, ensure quality, and communicate progress. Develops proof-of-concept prototypes and technical assessments across application and integration layers. Requires full-stack development experience, architecture exposure, modern engineering practices, strong communication, and the right to work in Australia.

Designs, maintains, secures, and optimizes AWS cloud infrastructure supporting quantitative research and business operations. Troubleshoots complex infrastructure and software issues, builds automation with Terraform and CloudFormation, manages containers and orchestration platforms, and monitors performance and costs. Collaborates with researchers, developers, data scientists, DevOps, and administrators to deliver scalable, reliable cloud solutions and provide technical support.

Develop and maintain reliable data pipelines, ingestion and curation processes, data quality solutions, and data platforms using cloud, DevOps, streaming, and analytics technologies. Analyze complex datasets, resolve quality issues, automate processes, support predictive modeling, and contribute to embedded firmware and streaming software development. Communicate technical information to stakeholders while following security, testing, and change-control practices.

Operate and support enterprise SD-WAN, SASE, firewall, cloud networking, and network security environments. Responsibilities include managing secure connectivity, security policies, routing, network incidents, changes, troubleshooting, incident response, root cause analysis, documentation, and on-call support. The engineer will work with engineering, architecture, and client teams, mentor junior staff, and contribute to service improvement across large-scale enterprise environments.

Develops software, automation, and operational tooling to improve the reliability, scalability, security, and performance of Duo’s production services. Responsibilities include infrastructure automation, zero-downtime deployments, monitoring, incident response, disaster recovery testing, multi-region adaptation, and post-incident improvements. The role also participates in on-call support, collaborates across engineering teams, and mentors less experienced colleagues.

Lead the architecture and development of secure, scalable SaaS products using TypeScript, React, Node.js, and AWS serverless technologies. Deliver production-ready AI features such as LLM-powered document processing, RAG, and intelligent assistants. Establish engineering standards, champion testing and CI/CD, mentor engineers, solve complex technical problems, and influence product roadmaps across engineering and product teams.

Lead, coach, and grow a software engineering team while overseeing delivery, technical quality, architecture, and code review. Partner with Product and Design to solve customer problems, manage technical trade-offs, and embed AI coding tools such as Cursor, GitHub Copilot, and Claude Code into engineering workflows. Drive modern engineering practices across cloud development, CI/CD, Agile delivery, and secure, high-quality software development.

Owns Scyne’s Palo Alto network and secure-access architecture while leading technical change management across network, cloud, security, and applications. Responsibilities include managing Prisma Access and firewalls, security policies, cloud connectivity, CAB governance, change risk assessment, infrastructure-as-code deployments, vulnerability remediation, upgrades, incident management, documentation, MSP oversight, and performance reporting.

Develop full-stack AI-powered applications and services using Python, Java, JavaScript, Svelte, cloud platforms, and modern AI technologies. Responsibilities include designing scalable backend and frontend systems, integrating LLMs, developing APIs and microservices, deploying to AWS or Azure, writing tested and maintainable code, supporting CI/CD and containerization, and collaborating on technical architecture and engineering practices.

Partner with sales teams and prospective customers to demonstrate Orkes’ workflow orchestration platform, gather technical requirements, design solutions, lead technical presentations and proofs of concept, support RFIs and RFPs, provide customer training, and relay customer feedback to product and engineering teams. The role requires strong API, microservices, cloud, programming, workflow, integration, and communication skills.

Work with Sales to provide consultative technical pre-sales support for FINBOURNE’s investment platform. Responsibilities include delivering product demonstrations and workshops, gathering requirements, designing future-state architectures, creating Python and SQL demos, advising clients and sales teams, training colleagues, and conveying client feedback to Product and Engineering. The role serves buy-side financial services clients and requires regular attendance at the Sydney office.

Supports sales opportunities from qualification through close by gathering customer networking requirements, contributing to technical solution design, adapting solutions, advising on products, preparing proposals and presentations, and maintaining customer and partner relationships. The role is intended for recent computer science, software engineering, or network engineering graduates with knowledge of networking, cloud computing, AI, machine learning, data analytics, sustainability, and data center infrastructure.

Supports technical sales opportunities from qualification through close by understanding customer networking needs, developing solution designs, advising on products, preparing proposals and presentations, communicating with customers and partners, and coordinating technical resources. Requires a recent computer science or engineering graduate with networking, cloud, AI, analytics, and data center knowledge, strong communication skills, analytical ability, and an interest in technology sales.

Designs, builds, and supports enterprise network, virtualization, and container platforms. Responsibilities include managing F5 traffic-management infrastructure, VMware vSphere, OpenShift, Kubernetes, high-availability architectures, security integrations, migrations, vulnerability remediation, performance optimization, capacity planning, automation, monitoring, and hybrid-cloud platforms. The role also requires production incident management, root-cause analysis, and stakeholder communication.

Drive technical success, adoption, and expansion for new Snowflake customers. Advise on data strategy, architecture, integrations, and platform activation; deliver implementation guidance using AI-powered development tools; create scalable enablement programs; collaborate with account, product, engineering, and partner teams; and represent Snowflake in customer workshops and industry events.

Build, maintain, and secure cloud infrastructure across Azure or AWS environments. Develop automated deployment pipelines, support CI/CD, conduct security testing and vulnerability remediation, monitor emerging threats, maintain security controls, and collaborate with engineering teams to integrate security into applications and infrastructure projects.

Leads and develops the DevOps team while designing secure, scalable cloud and on-premises infrastructure. Builds CI/CD pipelines, manages Terraform and Ansible automation, administers AWS, Azure, VMware and Kubernetes environments, and strengthens monitoring, observability, incident response and disaster recovery. Partners with AI, infrastructure and security teams to improve developer tooling, embed security, and meet regulatory requirements. Coaches technical staff, engages stakeholders and supports reliable software delivery.

Lead the design, development, deployment, and scaling of production-grade machine learning systems. Define ML engineering standards, make architectural decisions, collaborate with technical and commercial stakeholders, advise clients, and mentor junior engineers. The role requires expertise across the ML lifecycle, software engineering, cloud infrastructure, containerization, orchestration, and responsible AI deployment.

Build and deploy production-grade machine learning software, tools, infrastructure, and scalable solutions. Collaborate with engineers, data scientists, and commercial leads to solve client challenges, lead technical scoping and architecture decisions, define ML deployment standards, and advise customers and partners. The role requires expertise across the ML lifecycle, Python, software engineering, cloud infrastructure, containers, orchestration, and core machine learning concepts.

Leads enterprise-scale Databricks and cloud data platform engagements, providing solution architecture, data strategy, migration, modernization, governance, security, and DevOps leadership. Translates business requirements into scalable data and analytics solutions, oversees delivery, advises senior stakeholders, mentors technical teams, supports presales, and establishes engineering best practices across complex transformation programs.

Leads the design, development, and deployment of production-ready full-stack AI applications using React, Node.js, and AWS. Integrates LLMs, embeddings, agent frameworks, and unstructured data capabilities while implementing LLMOps workflows. Collaborates with product, data, AI, and architecture teams, mentors engineers, shapes technical standards, and delivers scalable, secure cloud architectures.

Serves as a Gartner technology analyst and thought leader specializing in ServiceNow licensing, pricing, SaaS contracting, and vendor negotiations. Conducts research, forecasts market trends, develops high-impact insights, advises enterprise clients, supports sales, presents at conferences, and collaborates across analyst teams. Requires extensive recent ServiceNow negotiation experience, strong research and communication skills, executive presence, and willingness to travel up to 25%.

Engage customers and prospects on DevSecOps solutions, partner with sales to drive technical wins, educate users, represent JFrog at events, influence product roadmaps, and advise on secure software delivery. The role requires strong hands-on experience with cloud infrastructure, software pipelines, containers, CI tools, artifact repositories, vulnerability management, and customer-facing technical sales or solution engineering.

Leads Vocus’s AI Technical Solutions team, building in-house AI engineering and science capabilities and delivering secure, evaluated, reusable, production-grade AI solutions. Responsibilities include designing agentic platforms and enterprise AI architecture, establishing engineering and AI control standards, managing reusable components, developing talent pipelines, and delivering measurable commercial value. Requires deep software or ML engineering expertise, enterprise-scale LLM or ML production experience, AWS knowledge, and understanding of security, privacy, and controls for critical infrastructure.