📍 Location: Remote / Gurugram 🕒 Experience: 2-4 years 🏢 Company: EnDecarb.ai – India’s first AI-powered Decarbonization Platform 🌱 Sector: ClimateTech / Sustainability / SaaS About EnDecarb.ai EnDecarb.ai is building India’s first AI-powered real-time decarbonization platform to help manufacturers, suppliers, and financiers to monitor, report, and reduce their emissions (Scope 1/2/3) with precision. What You'll Do Build and maintain scalable .NET Core backend APIs for real-time data ingestion and ESG analytics. Design and query PostgreSQL and time-series databases (TimescaleDB/InfluxDB) for high-volume telemetry workloads. Develop microservices using clean architecture principles and support containerized deployments via Docker. Implement data validation, buffering, and streaming mechanisms for reliable, low-latency performance. Collaborate with frontend, AI, and infrastructure teams to build an end-to-end decarbonization pipeline. Tech Stack You'll Work With • Languages: C#, .NET 8 (ASP.NET Core Web API) • Databases: PostgreSQL (with TimescaleDB), InfluxDB, Redis • Messaging/Streaming: MQTT, SignalR, WebSockets • Tools: Docker, Git, REST APIs, Swagger • Bonus: Knowledge of Prometheus, Grafana, or OpenTelemetry Requirements Strong foundation in C# and .NET Core Good grasp of SQL and PostgreSQL database design Understanding of asynchronous programming, REST API design, and microservice architecture Willingness to work with real-time data, sensor integration, and low-latency systems Eagerness to learn fast and work in a cross-functional, mission-driven team Bonus Skills (Not Mandatory but a Plus) Experience with time-series databases (TimescaleDB, InfluxDB) Familiarity with MQTT or Modbus/OPC-UA Experience deploying on AWS, using CI/CD pipelines Why Join Us? Be a founding team member solving India’s biggest climate and energy challenge. Work at the intersection of climate tech, real-time systems, and AI. Build something with purpose — your code will help reduce emissions in real factories. Salary as per Industry standard
We're Hiring: Front-End Engineer (2–4 years) Location: Remote / Gurugram About Us: EnDecarb.ai is an AI-powered decarbonization platform helping enterprises track emissions in real time, automate ESG compliance, and chart science-based net-zero pathways. We’re looking for a skilled Front-End Engineer to build performant, responsive, and elegant user interfaces using the modern React/Next.js stack. What You’ll Do Build responsive UI components with React.js, Next.js, and TypeScript Integrate REST APIs and display dynamic ESG data across dashboards and workflows Translate Figma designs into pixel-perfect layouts using Tailwind CSS, HTML5, and CSS3 Develop interactive native charts and visualizations (SVG/Canvas or charting libraries) Optimize performance and accessibility across desktop and mobile Implement routing, dynamic pages, and data-fetching strategies in Next.js Collaborate with design, backend, and product teams to build production-ready features quickly What We’re Looking For:- 2–4 years of experience in front-end development Proficiency in React.js, Next.js, TypeScript, Tailwind CSS, HTML/CSS Strong experience with custom charting or libraries like Recharts, Chart.js, or D3.js Hands-on experience consuming RESTful APIs Familiarity with Figma or similar design tools Solid understanding of responsive and accessible design principles Bonus Skills (Nice to Have) State management with Zustand, Redux Toolkit, or Context API Experience with NextAuth.js, JWT, or OAuth for auth flows Understanding of SSR, SSG, and ISR in Next.js ( getServerSideProps , getStaticProps ) Form building and validation using React Hook Form, Yup, or Zod Component libraries like ShadCN, Radix UI, or Headless UI Testing with Jest, React Testing Library, or Playwright Familiarity with ESLint, Prettier, Husky, and modern bundlers like Vite or Webpack Why Join Us Help build India's leading climate-tech SaaS from the ground up Be part of a small, fast-moving, mission-driven team Build software that directly accelerates Net Zero outcomes for real businesses Apply Now: Apply directly via LinkedIn and send your CV to careers@endecarb.ai https://endecarb.ai/
Position - Geospatial & Climate Data Intern - Python Location: New Delhi or Remote (India) Type: Internship (3 months) Stipend - 15k (negotiable) About the Role We are looking for an intern who is comfortable wrangling geospatial and climate datasets, consuming APIs, and building clean, reproducible Python workflows. You’ll support climate‑risk and ESG analytics: downloading reanalysis/satellite datasets, preprocessing them into analysis‑ready layers, computing indices, and packaging outputs for dashboards and models. Responsibilities · Ingest climate and geospatial datasets (NetCDF, GRIB, GeoTIFF, shapefiles, Parquet, Zarr/COGs) from public APIs and cloud buckets; organize them with clear metadata and folder conventions. · Build Python pipelines for data cleaning, QA/QC, spatial joins, projections, masking, resampling, mosaicking, clipping, and tiling. · Regrid, aggregate, and compute climate indices and exposure overlays against administrative boundaries and customer assets. · Automate retrieval of reanalysis/forecast products, satellite products and hydromet data; cache and catalog with STAC‑like metadata where possible. · Produce quick‑turn visualizations and summary tables for internal stakeholders and client deliverables. Core Tech Stack · Data & Arrays: numpy, pandas, xarray, dask, zarr, cftime, xhistogram · Climate/Met: xclim (climate indices), xesmf (regridding), cfgrib/eccodes, netCDF4, metpy · Geospatial: geopandas, rasterio, rioxarray, shapely, pyproj, rasterstats, pyogrio · Visualization/Maps: matplotlib, cartopy, plotly, folium Qualifications · Strong Python skills and familiarity with notebooks (Jupyter) and script‑first workflows. · Hands‑on with at least 3 of: xarray, geopandas, rasterio, rioxarray, xclim, netCDF4, cfgrib. · Comfortable with coordinate reference systems, projections, and raster‑vector operations. · Experience consuming REST/JSON APIs; ability to handle pagination, retries, and rate limits. · Basic Git (branching, PRs) and environment management (conda/mamba or poetry). What you will learn · End‑to‑end climate/EO data engineering: from ingestion to analytics to visualization. · Practical climate‑risk metrics (heat, flood, drought, wind) and ESG analytics. · Modern geospatial & array computing at scale with xarray + dask. Application Send your CV, GitHub/portfolio, and a short note on one geospatial/climate project you’ve built on careers@endecarb.ai