Software Engineer - Data Platform

Actively Reviewing

e-Stone Information Technology Private Limited

Mumbai Full-Time 1–2 yrs exp Posted 6 hours ago · Apply by Sep 14, 2026

Job Description

About The Role

We are building a next-generation ESG (Environmental, Social & Governance) data acquisition, analytics and reporting platformavailable via web and mobile for both Prosumer and Enterprise users. Were 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 contributorfrom 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 mindsetencryption, RBAC, secure storage
Interest in ESG, Sustainability analytics (Good to have)

(ref:hirist.tech)

Required Skills

React Native Query optimization REST API Machine Learning Adobe Illustrator Data Analysis PHP Python JavaScript TypeScript Next.js CI/CD Laravel MongoDB Weaviate NLP PostgreSQL MySQL GraphQL Docker Kubernetes Git Summarization AWS UI/UX