Top AWS Jobs in Sydney

The AI Engineer will lead the design, build, and deployment of AI solutions, ensuring they meet ethical and business requirements while collaborating with clients and internal teams.

The AI Architect will design secure and scalable AI architectures, embed governance, guide implementation teams, and communicate value to stakeholders.

The Head of Engineering leads multiple squads to deliver impactful engineering solutions for Financial Services, fostering team collaboration and innovation while overseeing technical design and product strategy.

Design and maintain scalable back-end systems for AI agent workflows. Drive technical leadership and collaborate across teams, mentoring engineers and influencing architecture.

As a Staff Backend Software Engineer, you will design and implement enterprise-grade features and back-end systems, ensuring reliability, security, and compliance for enterprise users. You will mentor junior engineers and collaborate across teams to deliver technical solutions.

Design and maintain scalable back-end systems for AI agents and workflows, lead projects, and mentor team members in a collaborative environment.

As a Senior Backend Software Engineer, you'll design and maintain scalable back-end systems for AI-driven chat experiences, mentor team members, and ensure high code quality while collaborating with cross-functional teams.

Lead UX/UI design initiatives to develop user-friendly interfaces, conduct user research, prototype in Figma, and push UI to production, while mentoring others and ensuring design fidelity.

Design and build enterprise-grade back-end systems like SSO and RBAC. Ensure system reliability and security while owning projects end-to-end. Collaborate across teams to translate requirements into technical solutions.

Design and develop scalable software solutions, collaborate with team members, and ensure highest quality standards through best practices in software development.

The Senior Data Scientist will lead the development of machine learning models, conduct data analysis, and collaborate with cross-functional teams to optimize services and tools at Mable.

Develop and deploy end-to-end AI solutions, focusing on agentic AI systems and LLM applications. Collaborate with customers to translate their needs into functional AI solutions.

The Senior Quality Engineer will test Qantas Loyalty applications, enhance automation scripts, and improve CI infrastructure, focusing on functional and non-functional testing.

The Cloud Partner Development Manager leads hyperscaler sales strategy in ANZ, focusing on revenue acceleration and building partnerships with AWS, Azure, and GCP. This role involves engaging partners, designing co-sell strategies, and delivering enablement sessions to drive cloud data protection solutions.

The Senior DevOps & Cloud Sales Engineer will engage in pre-sales activities, focusing on integrating Commvault's SaaS products into cloud-native environments while supporting sales teams, conducting demonstrations, and building customer relationships to enhance their DevOps workflows.

The Sales Engineer will drive pre-sales engagement, develop technical strategy, establish customer relationships, and contribute to revenue growth within commercial accounts.

The Data Engineer will design and implement data pipelines, manage Databricks tables, ensure data quality, and support infrastructure on AWS, contributing to a modern data team.

The Scyne Graduate Program offers a 12-month experience in consulting, focused on real-world projects and mentoring across various practices, especially in transformation and technology.

Lead software projects to enhance THE ICONIC's e-commerce platform, developing scalable solutions and maintaining code quality in an agile team environment.

The Expansion Sales Engineer guides customers in their security solutions, collaborating with Account Management to drive renewals and product adoption while providing technical expertise and feedback to product teams.

Lead the migration to ServiceNow by defining architecture, managing integrations, ensuring governance, and collaborating with stakeholders for a successful implementation.

As Lead Data Scientist, you'll guide a data science team, develop machine learning solutions for business problems, and manage data product lifecycles.

The Senior Solution Engineer will work with customers to enhance their DevSecOps processes, engaging in technical sales, product education, and collaboration with various teams to influence JFrog's offerings.

The Data Scientist will maintain existing models, support new model development, conduct statistical analyses, ensure data integrity, and collaborate with teams to communicate insights effectively.

The role involves designing and building automation frameworks, integrating automation into CI/CD pipelines, managing test environments, and enhancing QA maturity across teams.