Software Engineer – Data Platform (Web & Mobile) (India)

Software Engineer – Data Platform (Web & Mobile) (India)

05 Aug
|
e-stone information technology
|
India

05 Aug

e-stone information technology

India

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
- Robust 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]

📌 Software Engineer – Data Platform (Web & Mobile) (India)
🏢 e-stone information technology
📍 India

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