Found.dev
Role Highlights
Languages used
TypeScript
Kotlin
Java
Python
GO
Key skills
UX
Information Systems
Code Reviews
UI
Product Design
Trust & Safety
Full Stack
LLMs
AI
Frontend
Architecture
Data
Testing
Interfaces
Visualization
Automation
Research
Rendering
Machine Learning
Streaming
Backend
Tools, Libraries and Frameworks
Mountain View
Grid
Angular
React
Description
The role involves defining the architectural vision for web platforms that visualize and interact with the electric grid. The engineer will lead the technical roadmap for enterprise-grade frontend systems capable of processing large-scale geospatial and time-series data. Responsibilities include architecting agentic workflows and interfaces that integrate predictive automation and natural language reasoning. The position requires collaborating with research and power systems teams to translate complex algorithmic outputs into intuitive user experiences. Additionally, the role focuses on optimizing rendering paths for high-stakes environments and establishing engineering standards across the organization.
Required Qualifications and Skills
Candidates must have at least 10 years of experience in frontend or full-stack engineering with a history of leading technical vision for large-scale platforms. Proficiency in TypeScript and modern frameworks like React or Angular is required, along with experience building applications that leverage LLMs, agentic frameworks, or predictive ML models. The role necessitates a deep understanding of next-generation interaction patterns and the ability to design systems for human-in-the-loop workflows. No specific degree or professional qualification is explicitly stated as a requirement.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Description
At gTech's Users and Products team, innovations are focused on enhancing user engagement and solving complex customer needs through technical expertise and a deep understanding of Google's and Alphabet's broad product environments. The team acts as a bridge between Google’s users and its product teams, ensuring that user insights are integrated into product offerings which support numerous annual product launches. The newly formed Machine Learning Data Operations (MLDO) team within gUP Operations plays a critical role in delivering and tuning machine learning and GenAI data operations across Google’s product suite, leveraging extensive global vendor networks. Google's overarching goal is to create impactful products and services, with gTech playing a strategic role in bringing these solutions to fruition through technological and operational expertise.
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