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Software Engineer – Data Platform (Web & Mobile)

e-Stone Information Technology
Mulund, Mumbai, Maharashtra

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Job details

Qualifications

CI/CD
Azure
Law
React
Kubernetes
Software deployment
Laravel
Encryption
Git
MongoDB
Master's degree
Databases
PHP
RBAC
AWS
Docker
JavaScript
PostgreSQL
Continuous integration
REST
Natural language processing
Data analytics
APIs
GraphQL
TypeScript
Communication skills
Python
React Native
Debugging
MySQL

Full job description

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)

Kindly share your updated resume

[email protected]

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