Senior Full Stack Software Engineer

Ovii's Interpretation of the Role

Senior Full Stack Engineer driving end‑to‑end development of Pravāh's AI‑powered grid intelligence platform. Build high‑performance React front‑ends, scalable Python/Java/Go back‑ends, and cloud CI/CD pipelines for utilities in India and the US.

Role Snapshot

• Full‑stack development
• React & TypeScript UI
• Python/Java/Kotlin/Go services
• Microservices & event‑driven APIs
• Google Cloud Platform & CI/CD
• Large‑scale time‑series & geospatial data
• Production ML model serving
• Observability & incident response

Must-Have Requirements

• Bachelor's degree in Computer Science, Software Engineering, or equivalent
• 5+ years full‑stack production experience
• TypeScript
• React (or comparable modern frontend framework)
• Python, Java, Kotlin, or Go
• Relational database optimization (PostgreSQL)
• Microservices design and RESTful APIs
• Cloud computing (Google Cloud) and managed services
• Docker and CI/CD pipeline design
• Automated testing (Jest, Cypress, Playwright)
• Logging and monitoring for production systems
• full‑stack development
• microservices architecture
• cloud deployment
• large‑scale data handling

Nice-to-Have Signals

• D3.js, Mapbox, Deck.gl or WebGL for geospatial visualizations
• GIS formats (shapefiles, GeoJSON, CIM)
• Large‑scale time‑series data processing
• ML model serving, versioning, or feature stores
• Enterprise security and compliance experience
• Zero‑to‑one startup environment experience
• geospatial visualization
• time‑series analytics
• ML model serving
• high‑growth startup environments

Work Setup

• Location: New Delhi, India
• Work mode: ONSITE
• Timezone: Evening overlap with US Pacific Time
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design and implement high‑performance React applications that visualize time‑series demand forecasts and geospatial grid data.
• Build and operate scalable microservices, REST APIs, and data ingestion pipelines for weather‑driven electricity forecasting.
• Integrate backend services with ML inference pipelines, supporting model versioning, A/B testing, and automated retraining.
• Create secure, multi‑tenant data access layers with role‑based controls and audit logging for utility clients.
• Develop CI/CD pipelines on Google Cloud, containerize services with Docker, and ensure observability through structured logging and metrics.
• Own production deployments and incident response for critical grid‑analytics services, continuously improving scalability and reliability.

Good Fit If You Have

• Comfortable collaborating across a distributed team spanning India and California.
• Enjoys high autonomy and making architectural decisions in fast‑moving environments.
• Has experience visualizing large time‑series or geospatial datasets.