Top AWS Jobs in Sydney

Lead and resolve billing, usage metering, and cloud cost escalations by diagnosing metering discrepancies, usage spikes, billing anomalies, and quota enforcement. Collaborate with Product, Engineering, and Finance to escalate bugs and improve visibility; create tooling, playbooks, and training to enable global teams; communicate cost impact to stakeholders and surface customer feedback to influence product roadmap.

Provides strategic technical architecture, pre-sales, delivery, and enablement support to Salesforce partners across the ANZ region. Designs Salesforce, AI, and data solutions; advises on enterprise integrations and business use cases; develops prototypes and demos; supports RFPs and implementations; and mentors partner and internal teams. The role emphasizes Agentforce, Data Cloud, Salesforce Industries, AI adoption, solution configuration, and trusted-advisor relationship management.

Lead technical delivery and client-facing workstreams, guide and code with teams using TDD, CI, and DevSecOps; design pragmatic solutions, mentor engineers, and ensure high-quality continuous delivery from ideation to production.

Partners with account executives to develop technical sales strategies for enterprise accounts. Leads discovery workshops, solution architecture, demonstrations, proofs of concept, executive presentations, and RFP responses. Advises customers on API management, enterprise integration, cloud architecture, security, AI gateways, and governed AI initiatives. Represents the company at industry events and supports thought leadership. The role is based in Sydney, requires Australian work rights, hybrid onsite attendance, and up to 25% travel across Australia and New Zealand.

Own and continuously improve enterprise network and security platforms across on-premises, data center, cloud, and branch environments. Provide Tier 3 incident support, lead root cause analysis, manage firewalls and secure traffic flows, design AWS and hybrid-cloud networking, mitigate vulnerabilities, and maintain operational standards. The role also involves stakeholder and vendor collaboration, mentoring junior engineers, network automation, documentation, and alignment with cybersecurity and regulatory requirements.

Enterprise Account Executive responsible for managing named Major Accounts, driving net‑new revenue and platform expansion. Build multi‑year account plans, execute outbound and multi‑threaded deals, align executives, negotiate complex commercial agreements, and work with solutions engineers and partners to position Vercel as a strategic infrastructure partner for web and AI transformation.

Hands-on Network Engineer responsible for designing, deploying, optimizing, and automating enterprise network infrastructure across traditional, cloud, and hybrid environments. The role requires expertise in routing, DNS, DHCP, VPNs, cloud networking, dedicated connectivity, network security, Infrastructure as Code, and highly available multi-region architectures. The engineer will support complex, multi-site environments and use Terraform or CloudFormation to automate network provisioning.

Build and deploy full-stack AI and agentic applications for strategic enterprise customers. Partner with technical and executive stakeholders to move prototypes into production, shape AI roadmaps, design scalable architectures, and codify reusable solution patterns. Apply software engineering, data engineering, generative AI, LLMOps, and MLOps practices while mentoring teams and communicating customer feedback to product organizations.

Own day-to-day information security and compliance operations, including SOC 2, ISO 27001, and Cyber Essentials readiness. Responsibilities include evidence collection, control monitoring, policy writing, access reviews, endpoint and software compliance, risk tracking, remediation follow-up, and audit coordination. The analyst will work with Engineering, DevOps, IT, and management to maintain effective controls and audit-ready documentation.

Designs and leads enterprise Data & AI solutions on the Databricks Lakehouse across major cloud platforms. The role delivers end-to-end implementations, builds Spark and Delta Lake pipelines, optimizes performance and costs, and establishes DevOps, governance, security, and MLOps practices. It also involves customer workshops, executive presentations, stakeholder engagement, team mentoring, and architecture leadership throughout delivery.

Deploys and configures the Varonis data security platform for SMB and enterprise customers. Responsibilities include validating technical prerequisites, managing concurrent pre-sales and post-sales deployments, troubleshooting Windows-based environments, presenting technical information, addressing customer concerns, and coordinating with sales, customer, and internal teams. The role also identifies documentation and configuration gaps to improve deployment efficiency and customer outcomes.

Design and build high-integrity backend systems for the Yield investment product. Own end-to-end delivery of investment workflows, maintain financial infrastructure (reconciliation, ledgers, registries), ensure reliability and observability, integrate with external investment providers, and promote engineering best practices.

Operate and scale the NG-SIEM Serverless Cell Platform: monitor and maintain LogScale cells, respond to incidents/on-call, perform upgrades, capacity planning, build automation and Go microservices to enable self-healing, and collaborate with product and support teams.

Develop scalable full-stack software through hands-on coding, testing, debugging, and troubleshooting. Lead technical discussions, independently deliver medium-sized projects, improve engineering practices, and mentor junior engineers. Collaborate with product managers, stakeholders, and engineering teams while contributing to architecture, maintainability, and company objectives. The role primarily emphasizes backend development using Node.js, microservices, cloud services, CI/CD, TypeScript, GraphQL, WebSockets, Pub/Sub, PostgreSQL, and Elasticsearch, with frontend experience preferred.

Owns operational performance of AWS, Azure, and Microsoft 365 cloud services. Leads cloud engineers, governance, security, disaster recovery, incident and problem management, platform lifecycle, cost optimisation, infrastructure automation, landing zones, and production support. The role manages cloud operating models, stakeholder reporting, vendor relationships, compliance, platform engineering practices, and continual service improvement across enterprise managed services environments.

Own the end-to-end ML infrastructure supporting forecasting and other production models. Responsibilities include feature store development, model deployment, experimentation in Databricks, serving APIs, monitoring, drift detection, forecasting infrastructure, and explainability systems using LLMs and vector databases. Partner closely with data scientists, backend engineers, and product leaders to ship reliable, low-latency ML systems on AWS.

Provide first-line technical support for artists and staff, troubleshooting and repairing hardware, AV equipment, network systems, and creative software. Manage Active Directory accounts and group policies, Google Enterprise users, cybersecurity tools, Perforce, virtualization platforms, monitoring tools, and office inventory. Document incidents, network changes, maintenance procedures, and helpdesk guidance while recommending improvements to infrastructure and supporting a global technology team.

Owns the end-to-end professional services sales process, from developing new business and enterprise accounts through opportunity conversion and delivery alignment. Builds strategic client relationships, manages account plans and deal strategies, develops pipelines, and collaborates with sales, consulting, recruitment, and AWS partner teams. The role also contributes to go-to-market strategy and uses AI tools to enhance sales cycles and customer-facing content.

Designs and administers secure, governed Google Cloud environments, focusing on IAM, RBAC, BigQuery permissions, policy tags, masking, service accounts, and least-privilege access. The role develops Terraform-based infrastructure, troubleshoots configuration issues, supports dbt and data-platform deployments, migrates governed data-access patterns, documents solutions, and guides engineers and stakeholders through cloud configuration and access challenges.

Design, develop, and support production-grade trading applications, APIs, distributed systems, web tools, deployment automation, and workflow platforms. Build scalable, observable, resilient software for traders, researchers, operations teams, and engineers. Collaborate with stakeholders, contribute to architecture, automate deployment and operational processes, and support systems across global production environments. The role emphasizes reliability, performance, maintainability, cloud technologies, and ownership throughout the software lifecycle.

Lead the design, development, deployment, and operation of scalable AI/ML products and platforms. Own the full machine learning lifecycle, including experimentation, evaluation, inference, monitoring, and optimization. Develop LLM, retrieval, ranking, relevance, and generative AI solutions using Python, AWS, SQL, Airflow, Kafka, and BigQuery. Set technical direction, establish evaluation frameworks, improve engineering practices, mentor engineers, and promote reliable, ethical, and compliant AI/ML delivery.

As a Solutions Engineer, you will provide technical expertise to prospective customers, supporting them in evaluating the Sonar product and ensuring successful adoption.

Act as a quota-bearing technical trusted advisor for enterprise customers: lead technical discovery, design bespoke architectures, deliver demos/PoCs across security, networking, Zero Trust and developer platforms, drive adoption/expansion, run technical QBRs, and leverage AI-augmented workflows to automate routine tasks.

Own backend-heavy full-stack product surfaces from architecture through production operations. Responsibilities include building AI-powered answer experiences, identity and billing systems, public APIs, integrations, and workflow tools. The role requires partnering with product, making technical trade-offs, operating services, monitoring performance, responding to incidents, and continuously improving systems used by tax and law firms.

Serve as a customer-facing technical advisor helping industrial organizations adopt Seeq and implement analytics solutions. Responsibilities include solution reviews, implementation guidance, customer mentorship, use-case discovery, adoption planning, troubleshooting, product feedback, functionality testing, and industry-specific consulting. The role requires translating customer needs into scalable analytics solutions, building stakeholder trust, and collaborating with account, product, marketing, and consulting teams.