Top AWS Jobs in Sydney

Drive adoption and success for enterprise customers, providing technical guidance and collaboration across teams to ensure customer value realization.

The Senior Engineer I will design and develop features for cloud computing applications, ensuring performance and security and collaborating cross-functionally.

Principal Software Engineer responsible for leading software solution design, driving technical vision, mentoring teams, and ensuring quality software delivery.

As a Technical Account Manager, you will manage relationships with strategic customers, guide onboarding, ensure successful product adoption, and advocate for customer needs across teams.

The role involves leading backend development, ensuring system reliability, and shaping engineering practices for the Australian team.

The role involves managing the Configuration Management Database (CMDB) and Discovery processes, ensuring data integrity, optimizing operations, and integrating with external systems.

As a Senior Software Engineer, you will design, develop and maintain software solutions in the payments industry, leveraging cloud technologies and best practices for software engineering in a DevOps environment.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, implement cloud infrastructure, and ensure data quality and compliance in a global fintech environment.

As a DevOps Engineer, you'll build and scale infrastructure on AWS and GCP, improve CI/CD pipelines, and uphold best practices. You'll focus on GPU optimization, system observability, and collaborate within diverse squads.

Lead AI/ML initiatives by identifying opportunities, owning projects from concept to deployment, mentoring teams, and pioneering advanced AI applications.

Join Relevance AI as a Staff Software Engineer to architect and build Enterprise-grade features, mentor engineers, and shape engineering culture.

As a Senior Cloud Infrastructure Engineer, you will design and manage cloud infrastructure on AWS, implement automation using infrastructure as code, and collaborate with engineering teams to enhance architecture and security practices.

The Forward Deployed AI Engineer will develop and launch generative AI applications, collaborating with customer teams to innovate and prototype AI-driven solutions.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Alliances Field Engineer will support global partners in adopting Canonical's technologies, design cloud infrastructure solutions, and lead customer engagements to enhance business collaboration.

The Ubuntu Pro Sales Engineer drives adoption of Ubuntu Pro, advises customers, delivers presentations, and collaborates with sales teams to meet targets in a global setting.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

As a Support Engineer, you will troubleshoot and resolve technical issues for customers using BindPlane's observability solutions, ensuring successful deployment in enterprise environments.

The Network and Technology Operations Analyst will manage operational issues, optimize customer environments for security, and support customers with technical problems, focusing on troubleshooting and configuration. They will analyze data, guide less experienced team members, conduct quality reviews, manage ticket queues, and participate in 24x7 shifts.

As the founding Data Engineer, you will design and optimize data pipelines for automotive data, ensuring data integrity and collaboration across teams.

Lead sales growth for Black Duck application security solutions in ANZ. Develop sales plans, manage relationships, and drive opportunities across sectors.

The Senior Software Engineer will lead complex projects, mentor team members, and develop AI solutions using Node.js and TypeScript.

As an AWS Sales Specialist, you will drive cloud innovation, close deals, collaborate with AWS and Versent teams, and execute campaigns to achieve sales targets.

Design, develop and implement front-end and back-end solutions, collaborate with project managers, ensure quality standards, and enhance existing systems.

As a Machine Learning Engineer, you will design, build, and operate ML infrastructure, develop tools for the ML lifecycle, collaborate with teams, and drive best practices in MLOps.