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 Python2. 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 deploymentRequired Technical Skills : 1. Languages & Frameworks : - PHP (Laravel or Symfony), Python- Next.js, React.js, JavaScript/TypeScript2. 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 advantage3. Databases : - MongoDB, PostgreSQL/MySQL4. Architecture : - Microservices, REST APIs, GraphQL- Docker / Kubernetes, Git, CI/CD pipelines5. 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 mindsetKey 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 deploymentsPreferred 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) (ref:hirist.tech)