Top AWS Jobs in Sydney

Lead a 4–8 person AI-native engineering team to deliver production agent orchestration features. Coach engineers on product thinking, agentic workflows, and eval practices; remain hands-on in code, ensure quality and reliability, run postmortems, and hire top talent.

Build and ship AI-native, agentic products end-to-end: design LLM-powered workflows, prototype with frontier models, collaborate with product/design/customers, ensure reliability through continuous shipping and on-call ownership, mentor engineers, and iterate based on customer feedback to scale intelligent agents into production.

Full-cycle enterprise Account Executive selling cloud data security and risk management to Fortune 500 customers. Responsible for prospecting, territory planning, forecasting, delivering tailored presentations and PoVs, negotiating and closing deals, advising C-level executives, growing channel partnerships, attending events, and collaborating with solutions engineering, customer success, product, and marketing teams. AUS-based with ~50% travel.

Lead new-business enterprise sales for SugarAI: own accounts end-to-end, run discovery workshops, drive complex deals to close, coordinate cross-functional teams and partners, build pipeline, and position platform and ROI-led value propositions.

Quota-carrying sales role focused on generating, qualifying, and closing AI opportunities across an assigned territory. Partner with field teams, build AI pipeline, craft executive pitch decks and proposals, leverage partner ecosystem, and maintain disciplined CRM and forecasting.

Lead architecture and platform direction across embedded devices, cloud services, and web. Translate product goals into buildable systems, reduce cross-team technical risk, improve test/automation/development processes, champion AI-assisted engineering, and remain hands-on coding when needed.

Lead and scale globally distributed engineering teams, define technical vision and roadmaps, architect and operate internet-scale distributed systems, drive agile continuous delivery practices, elevate engineering quality and culture, and communicate technical strategy across product and executive stakeholders.

Design, implement, and harden enterprise Azure cloud platforms with embedded security controls. Automate infrastructure via IaC and CI/CD, manage IAM/Entra ID, deploy Defender and Sentinel tooling, support CSPM and vulnerability remediation, ensure compliance with ISM/IRAP/PSPF/NIST, and collaborate with platform and app teams to embed secure-by-design practices across multi-cloud environments.

Embed with enterprise clients to define outcomes and rapidly prototype production-grade agentic AI systems. Design RAG pipelines, multi-agent orchestration, and LLM assistants using Amazon Bedrock and SageMaker. Deploy end-to-end integrations into enterprise platforms while building responsible AI controls, evaluation pipelines and compliance for regulated industries.

Design and build connectors, tool integrations, and real-time data pipelines to enable LLM-based agents to act on analytics, SEO, content, and marketing platforms. Develop reusable agent skills, evaluate agent performance against MAU and ARR, iterate with Country Managers, replace manual processes with live tooling, and document frameworks for repeatable market deployment.

Design and implement enterprise data governance frameworks, policies, and operating models. Establish stewardship, metadata management, lineage, and data quality practices. Facilitate stakeholder workshops, embed governance into delivery, support governance tooling adoption (data catalogs, metadata platforms), and provide advisory and mentoring to uplift organisational governance capability.

Provide pre-sales architecture and technical consulting for AI/HPC networking and infrastructure across Australia/NZ. Lead scoping workshops, design networks for large GPU clusters, assess data center fit-out, build OEM relationships, and deliver high-quality AI infrastructure solutions.

Embed security across cloud infrastructure and CI/CD pipelines: design, build and maintain secure AWS and Linux platforms, automate IaC and pipelines, manage vulnerabilities and incidents, monitor platform health, mentor engineers, and collaborate with Architecture, Security and Application teams to improve security and operational maturity.

Design and lead a cloud-agnostic enterprise data ingestion framework: author solution designs, build and optimize batch/streaming pipelines, embed data quality/lineage/security, and guide engineering squads for scalable multi-cloud data platforms.

Design, build and maintain Java-based automated test frameworks and CI/CD pipelines. Plan and execute automated and manual tests (API, integration, system, regression, end-to-end), validate market data and order flow, manage test environments and data, log and investigate defects, and collaborate with developers, BAs and stakeholders to support safe release promotion.

Own and grow ANZ BFSI accounts by executing value-based, consultative sales (MEDDPICC) with C-level and data/AI stakeholders. Land new enterprise logos, expand within existing accounts, coordinate Pre-Sales, Marketing and Customer Success for POVs, and align co-sell motions with hyperscalers and GSIs while maintaining rigorous forecasting in Salesforce.com.

Support the design and development of a web application platform, including UI/UX, API and database development, and testing. Work collaboratively as part of the development team while gaining hands-on technical experience.

Assist the DevOps team by learning fundamentals and providing support with CI/CD pipeline tasks and tool set analysis.

The Senior Backend Engineer will develop distributed web applications, mentor other engineers, and lead complex architectural changes for Canva's products.

Build and own performance and load testing framework for C#/.NET applications in AWS using k6. Design and run load, stress, endurance, and scalability tests, analyse metrics, integrate tests into CI/CD, collaborate with developers/DevOps, produce reports, and drive performance improvements and capacity planning across trading platforms.

Manual QA engineer responsible for testing C#/.NET backend and JavaScript UIs in AWS. Duties include test planning, creating/maintaining test plans and data, executing tests, writing complex SQL Server queries for validation, logging and analysing defects, supporting releases and regression testing, reporting status, and performing performance, reliability, scalability, and security/usability testing.

AI Engineers will design and implement AI/ML solutions on AWS and Azure, build ML models and data pipelines, and ensure best coding practices while mentoring junior engineers.

Design and develop complex software solutions for a banking platform, leading engineering efforts, and mentoring team members in a high-impact role.

Design, build, and operate large-scale SaaS cloud services. Provide technical leadership across architecture, delivery, and cross-functional collaboration. Own end-to-end feature delivery, mentor peers, improve team practices, and apply AI/ML where beneficial. Work hybrid from Surry Hills, Sydney.

Lead and grow a global team of Designated Support Engineers delivering white-glove post-sales technical support. Hire, mentor, and scale the team, drive process improvements and KPIs, coordinate across field, product, and engineering to resolve technical issues, run support QBRs, and advocate for enterprise customer needs to improve satisfaction and time-to-mitigation.