Top AWS Jobs in Melbourne

The Technical Lead will manage up to four engineers, lead engineering projects, and implement the Engineering Strategy while focusing on delivery, team mentoring, and technical excellence. Responsibilities include project accountability, recruitment processes, and fostering an inclusive team environment.

The Technical Lead in Backend Engineering will manage up to four engineers while leading engineering projects, focusing on delivery strategy, technical excellence, and mentoring. Responsibilities include conducting one-on-ones, ensuring team diversity, managing engineering maturity, and contributing to product delivery by addressing technical challenges.

As a Machine Learning Engineering Team Lead at Leonardo.Ai, you will mentor and lead a diverse team, define MLOps strategies, optimize AI deployability, oversee AWS infrastructure, develop scalable data pipelines, and implement monitoring for machine learning models. Your focus will be on creating an inclusive environment and driving impactful AI initiatives.

Lead a team of engineers to build a Digital Experience Platform, develop code, collaborate on user stories, and guide junior engineers.

As a Lead Infrastructure Engineer, you will enhance system reliability, performance, and security while mentoring the engineering team and driving sustainability initiatives.

As a Senior DevOps Engineer at Babylon, you will manage the lifecycle of PoS networks and dApps, oversee service onboarding, ensure high uptime, operate scalable Kubernetes clusters, and collaborate with teams for incident response and system improvements.

Join Franklin.ai's Software Engineering team to create AI tools for pathology, offering roles from interns to senior positions across various specializations.

The Staff Data Engineer will lead data engineering infrastructure, design scalable systems, optimize data pipelines, and collaborate with teams to enhance data practices for business impact.

As a Principal Software Engineer (Front-End), you will architect scalable applications, lead technical discussions, mentor engineers, and drive software excellence.

The Senior Data Engineer will design scalable data platforms, write clean code, mentor team members, and contribute to data quality improvements.

The Engineering Manager - Quality will lead the Quality Engineering team, drive best practices in test automation and software reliability, mentor engineers, and develop quality strategies for digital platforms. Responsibilities include embedding modern engineering principles, overseeing automation and performance testing, promoting agile methodologies, and collaborating with various engineering disciplines.

As a Lead Developer, you will design, implement, and maintain mobile applications and backend APIs, collaborating closely with delivery leads, product managers, and engineers. You'll advocate agile software practices, mentor junior team members, and ensure high-quality code while driving the technology strategy for mobile platforms.

The Senior Software Engineer will develop and enhance software features for the EnrollWise product, ensuring quality, scalability, and performance while collaborating with team members on design and development.

The Quality Engineer will focus on backend and frontend test automation, developing and maintaining automated tests, implementing optimization for UI and API tests, and collaborating with developers in an Agile environment. Responsibilities include improving testing frameworks and performance, investigating production issues, and providing feedback in code reviews to enhance product quality.

The Senior Data Engineer will own Blinq's data analytics infrastructure, ensuring data quality, integration, and supporting data-driven decisions through collaboration with product and engineering teams.

The Senior Software Engineer will develop scalable APIs, mentor engineers, implement backend best practices, and optimize performance. Collaborate with teams to ensure high-quality integration solutions.

The Senior Software Engineer will focus on enhancing AI capabilities within Squiz's Digital Experience Platform, leveraging their expertise in full stack development with Typescript, Node, React, and AWS. Responsibilities include integrating AI tools, implementing testing strategies, and working within Agile methodologies.