Senior Full Stack Software Engineer

The role

You will design, develop, and scale an AI-driven grid intelligence platform end-to-end. This includes building high-performance web applications, scalable APIs, data pipelines, and productionizing machine learning models.

What you will do

• Design and implement web applications using TypeScript and React for visualizing energy data.
• Build interactive geospatial visualization layers using libraries like Mapbox.
• Develop real-time dashboards for energy demand forecasting.
• Create map-based views for utility engineers to drill down into distribution networks.
• Implement reusable component libraries and collaborate with the Product team.
• Write comprehensive tests using frameworks like Jest.
• Design, build, and operate scalable microservices and REST APIs.
• Build and maintain data ingestion pipelines for high-frequency time-series data.
• Integrate backend services with ML inference pipelines.
• Build services that manage network metadata and grid topology.

Required qualifications

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• 5+ years of experience building and deploying production-grade full-stack web applications.
• Proficiency in TypeScript and at least one modern frontend framework.
• Strong backend development experience in Python, Java/Kotlin, or Go.
• Experience optimizing and scaling relational databases under production load.
• Strong async communication skills.
• Experience designing and building microservices architectures.
• Hands-on experience with cloud-computing providers.
• Experience with Docker, containerized deployments, and CI/CD pipeline design.
• Experience with automated testing: Unit, integration, and end-to-end (Jest, Cypress, Playwright, or equivalent).
• Knowledge of logging and monitoring tools for troubleshooting production systems.
• Ability to operate with high autonomy in ambiguous, fast-moving environments.

Nice to have

• Experience with D3.js, Mapbox, Deck.gl, or WebGL for rendering complex geospatial or time-series visualizations.
• Experience building data-intensive applications that process and visualize large-scale time-series datasets.
• Experience with GIS data formats (shapefiles, GeoJSON, CIM models) and spatial analysis.
• Familiarity with ML model serving.
• Experience with enterprise security architectures, compliance standards, or building multi-tenant SaaS platforms for regulated industries.
• Track record in high-growth or "zero-to-one" environments where you've built core infrastructure from scratch.
• Experience working with high-frequency time-series data including storage, retrieval, downsampling, and visualization of dense datasets at sub-hourly resolution.

About the company

Pravah is building the world's first foundation model of the electric grid using ML. They work with state-owned distribution and transmission electricity utilities to transform fragmented operational data into decision-grade intelligence.