Software Engineer – Data Platform (Web & Mobile)

e-stonetech; Mumbai; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading technology firm in Mumbai is seeking an experienced Software Engineer to develop an ESG data acquisition and analytics platform. The ideal candidate will work across the stack, focusing on backend services in PHP and Python, as well as responsive front-end interfaces using Next.js and React.js. You will be involved in data acquisition, normalization, and compliance with ESG standards. This role offers the chance to tackle real-world data challenges in a dynamic, fast-moving environment, making a significant impact on the product's success.

Qualifications

• Experience with building data acquisition and analytics systems.
• Strong understanding of backend services and APIs development.
• Ability to work in a fast-paced product team environment.

Responsibilities

• Design and develop modules for data acquisition, analytics and storage.
• Build responsive web and mobile interfaces using Next.js and React.js.
• Maintain CI/CD pipelines, automated testing and documentation.

Skills

PHP (Laravel or Symfony)

Python

Next.js

React.js

MongoDB

PostgreSQL/MySQL

JavaScript/TypeScript

Tools

GraphQL

CI/CD tools

PWA or React Native

Job description

About the Role

We are building a next-generation ESG (Environmental, Social & Governance) data acquisition, analytics and reporting platform—available via web and mobile for both Prosumer and Enterprise users. We’re looking for a hands‑on Software Engineer who can work as an individual contributor across the stack, collaborate with small internal teams and external vendors, and deliver a high-quality, scalable product.

This role is for someone who loves solving real-world data challenges, delivering clean UX, and leveraging newer technologies like vector search, hybrid search, embeddings and AI-assisted workflows to bring efficiency, accuracy, and consistency into an ESG ecosystem.

Key Responsibilities

• Design and develop modules for:
  • Data acquisition from APIs, user inputs, IoT, web and third‑party sources
  • Data normalization, validation, analytics and scoring pipelines
  • Secure, high-performance storage and retrieval
• Build intuitive and responsive web & mobile interfaces
  using Next.js + React.js (PWA or React Native experience is a plus)
• Develop backend services and APIs in PHP and Python
• Work directly with UX, data teams and vendors to integrate models, data sources and UI components
• Ensure security, access control, audit logs, and compliance with ESG data standards
• Maintain CI/CD pipelines, automated testing and clear technical documentation
• Operate as a true individual contributor: hands‑on development, debugging, testing and deployment

Required Technical Skills

• Languages & Frameworks
  • PHP (Laravel or Symfony), Python
  • Next.js, React.js, JavaScript/TypeScript
• Search & AI
  • MongoDB vector search optimization ($vectorSearch, HNSW tuning, hybrid search)
  • Performance benchmarking & query optimization for real‑time analytics
  • Hybrid search combining semantic + keyword relevance
  • Good to have experience with vector databases (Pinecone, Weaviate, Milvus, Qdrant, etc.)
  • Migration strategy planning from MongoDB to specialized vector databases
  • Exposure to NLP, embeddings or RAG workflows is a strong advantage
• Databases
  • MongoDB, PostgreSQL/MySQL
• Microservices, REST APIs, GraphQL
• Responsive designs, PWA or React Native (nice to have)

How You Work

• Comfortable in a small, fast‑moving product team
• Ability to collaborate with vendors (data sources, model providers, UI/UX partners)
• Takes complete ownership as an individual contributor—from idea to deployment
• Strong communication and problem‑solving mindset

Key KPIs for Success

• Reduction in manual data processing time through automation & ML
• Improved accuracy of scoring & benchmarking
• Page and API response times consistently meeting SLA targets
• Uptime, error rate, and performance within defined SLOs
• Successful delivery of product modules within sprint timelines
• User satisfaction measured through reduced support tickets & positive UX feedback
• Search results relevance improvements through vector/hybrid search deployments

Preferred Qualifications

• Experience in data analytics, or enterprise data systems
• Exposure to LLM‑based document parsing, entity extraction or summarization
• Cloud platform hands‑on experience (GCP, AWS or Azure)
• Interest in ESG, Sustainability analytics (Good to have)