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
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