Software Engineer – Data Platform (Web & Mobile)

e-Stone Information Technology Private Limited; Mumbai; On-site; INR 800,000 - 1,200,000; Full time

Job summary

e-Stone Information Technology Private Limited is seeking a Software Engineer for their Data Platform team in Mumbai. This role involves designing modules for data acquisition, analytics, and building responsive web and mobile interfaces.

The ideal candidate has 3-7 years of experience, proficient in PHP, Python, Next.js, and React.js, with a strong focus on building scalable, high-quality products. Join a fast-paced team and work on innovative solutions for ESG analytics.

Qualifications

• 3-7 years of experience in software engineering, particularly with web and mobile platforms.
• Strong experience implementing APIs and backend services.
• Proficient in integrating front-end UX with backend data processing.

Responsibilities

• Design and develop data acquisition and analytics modules.
• Build intuitive web and mobile interfaces.
• Develop intelligent search features and ensure compliance with ESG standards.

Skills

PHP (Laravel or Symfony)

Python

Next.js

React.js

MongoDB

PostgreSQL/MySQL

Microservices

Docker

Kubernetes

CI/CD pipelines

Tools

Git

Cloud platforms (GCP, AWS, Azure)

Job description

Software Engineer – Data Platform (Web & Mobile)

Location: Mumbai (Mulund)

Experience: 3–7 years

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
• Implement intelligent search using:
  • Vector search, hybrid search, semantic ranking, metadata filtering
• 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
• Architecture
  • Microservices, REST APIs, GraphQL
  • Docker / Kubernetes, Git, CI/CD pipelines
• Mobile
  • 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)
• Security‑first mindset—encryption, RBAC, secure storage
• Interest in ESG, Sustainability analytics (Good to have)