Software Engineer - Data Platform

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 :

1.

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

2.

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 :

1. Languages &

• Frameworks :
• PHP (Laravel or Symfony), Python
• Next.js, React.js, JavaScript/TypeScript

2. 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

3.

Databases :

• MongoDB, PostgreSQL/MySQL

4.

Architecture :

• Microservices, REST APIs, GraphQL
• Docker / Kubernetes, Git, CI/CD pipelines

5.

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)