Support day-to-day network operations and data-centre activities
Configure and troubleshoot routers, switches, and firewalls
Sydney-based; must be eligible for NV1 security clearance
Posted 1d ago
AI Software Engineer (Full Stack) | Senior Associate | Digital Solutions
PwC
Sydney, NSW
Design and develop AI-powered automation applications and digital products
Experience building and deploying LLM-powered applications
React, Next.js, TypeScript, Node.js, LLM agents, AI SDK
Posted 3d ago
Director of IT & AI
Emesent
Brisbane, QLD
hybrid
Lead IT strategy, operations, infrastructure & AI enablement end-to-end
Director-level experience in IT leadership
IT strategy, AI governance, cybersecurity, identity management, BC/DR
Posted 3d ago
About the job
Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.
Responsibilities
Analyze user trends utilizing related tools (e.g., SQL, R, Python). Help to solve problems, narrow down multiple options into the best approach, and take ownership of open-ended business problems to reach an solution.
Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues.
Define and report on Key Performance Indicators (KPIs) to align business direction with the cross-functional/organizational leadership team. Translate analysis results in business insights or product improvement opportunities.
Identify growth opportunities for the product and business through analysis, insights and communication.
Collaborate across teams to align resources and direction.
Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with a Master's degree.
Preferred qualifications:
Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
Experience in collaborating with engineers, product managers on product-centric insights.