Software Engineer - Data Platform

e-Stone Information Technology Private Limited; Mumbai; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

e-Stone Information Technology Private Limited is seeking a hands‑on Software Engineer to contribute across the stack for an ESG data platform. You will design data pipelines, build web and mobile interfaces with Next.js/React.js, and implement robust backend services in PHP and Python.

You will work with UX and data teams, own deployments from concept to production, and ensure security, scalability, and performance across modules.

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).

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, and 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.

Skills

PHP (Laravel or Symfony)

Python

Next.js

React.js

JavaScript/TypeScript

Tools

Docker

Kubernetes

Git

CI/CD

MongoDB

PostgreSQL

MySQL

Vector databases (Pinecone/Weaviate/Milvus/Qdrant)

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.

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, and 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, experience with vector databases (Pinecone, Weaviate, Milvus, Qdrant, etc.).
• Databases: MongoDB, PostgreSQL/MySQL.
• Architecture: Microservices, REST APIs, GraphQL.
• Containerization & DevOps: 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).