Top Tech Jobs & Startup Jobs in Melbourne

Design and build scalable data platform solutions from ingestion to modelling and infrastructure. Own end-to-end technical problems, improve data quality and observability, implement IaC and CI/CD, manage production systems (monitoring, incident response), and enable self-service analytics for downstream teams using modern tools like Snowflake, dbt, Prefect, Terraform, AWS and real-time tech.

Lead architecture and technical direction for real-time streaming and analytics. Own data ingestion, streaming, modelling, warehousing and data apps. Influence cross-team standards, mentor engineers, review designs, and improve operational reliability and DataOps to deliver scalable, secure data products.

Own the marketing technology product: manage Salesforce lead architecture, CDP integrations, data pipelines, and LLM-driven initiatives. Partner with performance marketing, data engineering, and sales to deliver personalised campaigns, conversion APIs, and high-ROI technical roadmaps while leading engineering execution and executive reporting.

Lead design and implementation of AI research and production infrastructure. Mentor junior engineers, and collaborate to enhance data usability, solving complex technical challenges.

The People Experience Coordinator supports global People team operations, overseeing employee lifecycle processes and maintaining data integrity while handling employee queries.

Design and implement large-scale, production-grade distributed systems to power generative AI features. Own architecture, operational reliability, and technical debt. Collaborate with applied scientists to productionize ML/LLM models, mentor engineers, and improve data usability and engineering standards.

Manage end-to-end Board and committee operations: run Diligent board portal, coordinate agendas, minutes, logistics and in-person Board weeks across time zones, support Company Secretary on governance calendar items, update policies and drive process improvements.

Provide company secretarial support and corporate governance advice for a publicly listed tech company. Support ASX/SGX listing compliance, continuous disclosure, routine lodgements, and annual corporate actions. Assist board and subsidiary governance, prepare board packs and minutes, manage corporate records, capital flows and officeholder changes, and advise on governance best practice and process improvement across global subsidiaries.

Lead design and implementation of large-scale distributed production systems powering generative AI features. Own architecture, mentor engineers, manage technical debt, operationalize ML/LLM models, and collaborate with scientists to productionize research using Python, SQL, Spark/Dask, AWS, and Kubernetes.

Design, build, and operate an internal AI skills marketplace and distribution platform. Own end-to-end delivery from experimentation to production, create runbooks, monitoring, rollback plans, and provide guidance on authoring agent skills while collaborating with vendors and engineering teams.