In this role...
We are looking for a visionary Staff Engineer to serve as the technical North Star for our data and AI-driven platforms. In this role, you will be responsible for the evolution of our core architecture, moving us toward a future where real-time data processing and AI are seamlessly integrated into every facet of our product.
As our data ecosystem grows in complexity, we need a leader who can navigate the intersection of high-performance backend engineering and modern AI capabilities. You will tackle "unsolved" problems—designing systems that handle petabytes of data with millisecond latency, architecting multi-tenant API ecosystems, and building the infrastructure that delights our customers who are leveraging our AI solutions for their everyday work. You are a "leader of leaders," someone who influences our multi-year technical roadmap and ensures that our engineering standards remain world-class while we innovate at speed on the Google Cloud Platform (GCP).
Core Technical Skills
Languages: Expert-level proficiency in Java and Python. Strong experience with Kotlin for modern backend services.
Cloud Platform: Deep experience with GCP (Google Cloud Platform), specifically BigQuery, Dataflow, Vertex AI, GKE (Google Kubernetes Engine), and IAM.
Data Engineering: Mastery of SQL and data modeling. Proven track record of building real-time processing systems at scale and robust batch ETL/ELT pipelines.
AI Engineering: Practical experience deploying AI/ML models in production, prompt engineering, fine-tuning, and working with vector databases (e.g., Pinecone, Weaviate, or Vertex AI Search).
System Design: Expert knowledge of distributed systems, CAP theorem, microservices patterns, and event-driven architecture. Leadership & Soft Skills
Strategic Thinking: Ability to look 12–24 months ahead and identify technical debt or opportunities for innovation.
Communication: Ability to explain complex technical concepts to non-technical stakeholders and executives.
Execution: A "get it done" attitude with the ability to navigate ambiguity and drive projects to completion in a fast-paced environment.
