Top Technology Jobs & Startup Jobs in Sydney

Design and develop internal services and deployment automation tools in Go; build and maintain GitLab CI/CD pipelines; manage Kubernetes production and pre-production environments; evolve internal deployment platform (Packman); implement IaC with Terraform and Ansible; optimize ephemeral/stage environments; improve observability with Grafana/OpenSearch/Prometheus; collaborate with engineering teams to enhance developer experience and delivery speed.

Lead growth marketing projects: analyze markets and funnels, prioritize and run A/B tests, launch cross-functional experiments, build dashboards, integrate AI/automation, and produce reports and playbooks to improve acquisition, retention, ROAS, and conversion.

Provide comprehensive administrative and personal support to the CEO: manage calendars, meetings, communications, documents, travel, payments, and vendor coordination. Handle confidential matters, routine tasks independently, and assist with personal appointments and events.

Monitor and analyze product and advertising KPIs, integrate data from multiple sources, build and optimize weekly/monthly marketing reports, run A/B test analyses, create campaign summary reports, and provide actionable recommendations to improve campaign performance.

Lead PR and external communications to build brand and product reputation. Plan and run viral PR campaigns, manage online reputation and SERM, create SEO-driven content and executive communications, coordinate vendors and agencies, support events and crisis communications, and collaborate with internal teams.

Lead and optimize engineering delivery for a mature social product: audit and improve SDLC, accelerate time-to-market, align engineering to business backlog, scale delivery frameworks (Agile/Scrum), manage cross-functional execution, and present technical strategy and risks to executives.

Lead administration and support of corporate Microsoft infrastructure, VDI/RDS access platforms, virtualization, storage, backups, and cloud services. Perform AD domain/forest migrations, replace legacy VDI and load‑balancing stacks, maintain documentation, resolve incidents to SLA, participate in projects and on‑call rotation, and collaborate with NOC, InfoSec, DevOps, and L2 teams.

Lead training and fine-tuning of generative computer-vision models (text2image, image2image, video2image) including IP-adapters; develop image/video classifiers, rankers, and captioning models; track CV research and define roadmap; build iterative model improvement and quality validation systems; optimize inference performance (diffusion optimization, quantization, kernel/framework-level); optionally train multimodal CV+NLP companions.

Train and fine-tune large language models, build and maintain the full LLM stack and agentic pipelines, improve chat/agent algorithms, translate NLP research into roadmap, and collaborate with validation, content, and dataset teams to design experiments and measure model quality.

Lead generative AI image production for realistic personas and models. Build and optimize scalable generative pipelines, automate batch workflows, evaluate new models/tools, define technical direction and best practices, and improve image quality, consistency, speed, and cost-efficiency.