Software Engineer Data Platform Web & Mobile e stone

Job highlights

• Required Technical Skills
• Preferred Qualifications
• using Next.js + React.js (PWA or React Native experience is a plus) .
• Hybrid search combining semantic + keyword relevance . Good to have Experience with vector databases (Pinecone,Weaviate,Milvus,Qdrant,etc.)
• Experience in data analytics,or enterprise data systems .

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)