Fullstack AI Software Engineer - (Customer Insights, Fullstack Builder)

At Sonder, we believe that every person deserves to feel safe, supported, and empowered to be at their best - wherever they are. That’s why we’re redefining workplace health, safety, and wellbeing through a seamless blend of technology and human expertise. Sonder’s mobile platform provides 24/7, real-time support fr...

By harnessing real-time insights, we enable organisations to take proactive steps toward a healthier, safer future, which leads directly to tangible bottom-line business outcomes.

Since our founding in 2017, Sonder has experienced rapid growth, expanding operations across Australia, New Zealand, and the UK. Backed by Australia’s leading venture capital firms, Seek and Blackbird, we are well-capitalised and on a mission to scale globally, partnering with corporations, educational institutions,...

Our Customer Insights and Measurement team at Sonder is looking for a Full Stack Engineer to help us build the next generation of wellbeing intelligence.
You will own the end-to-end journey of turning raw data into intelligent insights. On any given week, you might be building React-based dashboards, optimizing Snowflake transformations, or architecting multi-agent workflows that help our customers "talk" to their safety data.
At Sonder, "Health and Wellbeing" isn't just a benefit; it’s our product. You’ll be building the tools that measure human impact, helping us move from reactive support to proactive, data-driven actions.
 

End-to-End Ownership: Build and maintain features from the database schema and Snowflake models through to the React UI.
API Architecture: Design robust back-end services (Python/Node.js) that support data ingestion and high-concurrency reporting.
Data Engineering Mastery: Design and optimize tables, views, and complex query workloads in Snowflake to keep compute overhead low and dashboard latency fast.
Transformation: Build scalable, maintainable data transformation pipelines to establish an accurate, single source of truth for all reporting.
Insight Automation: Leverage LLMs to transform complex workplace metrics into actionable executive summaries and power interactive agents for our B2B customers.
AI Observability: Implement safeguards, validation checks, and error handling for AI-generated outputs to ensure reliability and safety in a sensitive domain.

 
The "Builder" DNA: You are a heavy user of AI-assisted coding tools (Cursor, Copilot) to accelerate your own engineering delivery.
Experience with cloud platforms (AWS) and modern containerized CI/CD infrastructure (Docker).
Full Stack Fluency: Deep production experience building frontend user interfaces with React and scalable backends with Python or Java.
Data Engineering Literacy: Strong advanced SQL skills and architectural experience with cloud data warehousing (Snowflake) and transactional databases (RDS).
Transformation Experience: Proven track record of orchestrating and optimizing data transformation layers using dbt.
Production Mindset: A strong focus on writing highly tested, maintainable code with strict type-safety patterns (e.g., Pydantic or TypeScript). You know that "it worked on my machine" isn't enough.
Familiarity with vector embeddings, semantic search, or basic Retrieval-Augmented Generation (RAG) frameworks