Senior Software Engineer

About the Company

Our client is a Y-Combinator-backed deep-tech company at the forefront of clean energy transformation . With a presence in Switzerland, the USA, and India , the company leverages AI, Machine Learning, IoT, and climate modelling to optimize energy market efficiency and sustainability . Recognized as "Best for the World" by B-Corporation Institute , the company is revolutionizing the solar and wind energy sector by enhancing efficiency, reliability, and scalability.

Role Overview

We are looking for a Senior Software Engineer to design, develop, and deploy scalable data-driven solutions . The role focuses on building real-world data analytics platforms , optimizing data pipelines , and implementing machine learning models for live data streams. The ideal candidate should have strong expertise in data engineering, MLOps, cloud infrastructure (AWS), and backend development frameworks .

Key Responsibilities

Data Engineering & Pipeline Development: Build and optimize ETL processes, data pipelines, and real-time data streaming solutions .
ML Model Development & Deployment: Design and deploy scalable ML models and analytics services with seamless cloud integration.
Cloud Infrastructure & DevOps: Work on AWS cloud services, CI/CD pipelines, and MLOps strategies for efficient production-level implementation.
Backend Development & API Integration: Develop and manage FastAPI, Django, Flask, and Node . js -based backend services.
Cross-Team Collaboration: Work closely with data scientists, engineers, and domain experts to deliver high-impact clean-energy solutions.
Technical Leadership & Mentorship: Guide junior engineers, ensure best practices and drive innovation in data engineering and machine learning .

Skills & Expertise Required

Data Engineering & Real-Time Data Processing Experience with ETL, time-series databases, and large-scale data processing .
Machine Learning & Deep Learning Hands-on experience with production-grade ML models, feature engineering, and data preprocessing .
Cloud Infrastructure & DevOps (AWS, MLOps, CI/CD) Strong experience in cloud platforms, containerization, and deployment pipelines .
Backend Development (FastAPI, Django, Flask, Node. js) Proficiency in developing, integrating, and deploying APIs for data services.
Programming & Database Management (Python, SQL, MongoDB) Expertise in Python, SQL, time-series databases, and NoSQL solutions .
Algorithm Development & Problem-Solving Strong understanding of data structures, statistical modelling, and optimization techniques .

Preferred Background

6+ years of experience in data science, analytics, or engineering .
Experience in clean-tech, AI-driven platforms, or real-time energy analytics is a plus .
Prior work in IT product-based companies, Series A startups, or algorithm-driven trading platforms .
Candidates from trading, algo-driven, LLM-based product development, or software application industries preferred .

Why Join Us?

Work on AI-Driven Clean Energy Solutions Contribute to sustainable energy optimization through cutting-edge AI & ML.
Competitive Salary + ESOPs Get rewarded with performance-based incentives and ESOPs (Min $10K after joining) .
High-Growth Environment Be part of a fast-growing deep-tech startup backed by Y-Combinator and top investors .
Innovative & Impactful Role Work with domain experts, AI specialists, and engineers solving real-world sustainability challenges .

Mongdb, Backenddeveloper, Cloud Infra And Security - Azure And Aws, Data Processing & Management, Data Engineering & Analytics, Machine & Deep Learning, Database Management, Sql Frameworks & Libraries: Node. Js