Job Title

Backend Developer (AI-Accelerated Engineering + DXP + Enterprise Systems)Experience: 3–5+ years (Senior candidates also welcome)Qualification: B.Tech in Computer Science or equivalentShifts: Flexible for global time zones (US/EU/APAC)About the RoleWe are seeking a high-caliber Backend Developer with strong experience in modern distributed systems, DXP (Digital Experience Platform) backend architecture, API-driven development, and AI-powered engineering workflows.You will build the backend foundation for our DXP, enterprise-grade products, and next-gen AI-born systems.This is not a typical backend role — we want someone who understands product architecture, microservices, cloud-native design, database systems, event-driven architectures, and AI-assisted engineering.You will work in tight collaboration with front-end engineers, designers, architects, and leadership to deliver world-class digital products.Key ResponsibilitiesBackend Architecture & API Development- Design and develop scalable backend systems using: - Node.js / Express / NestJS - Python / FastAPI / Django - Go (Golang) is a strong bonus. - Build robust REST and GraphQL APIs for high-performance front-end integration. - Architect and implement microservices, event-driven workflows, and modular backend components.DXP & Platform Engineering- Build backend engines for headless DXP including: - Content modeling - Multi-tenant architecture - Personalization layers - Workflow automation - Template management - Contribute to creating our OWN DXP backend and API ecosystem, not just using external CMS tools. - Manage backend for: - User management & auth - Role-based access - Multi-site delivery - Localization - Caching & CDN integrationAI-Accelerated Backend Development- Use AI coding tools (Cursor, Windsurf, GitHub Copilot, ChatGPT/Claude Code) for: - Rapid API development - Data modeling - Boilerplate generation - Automated documentation - Code optimization - Test-case generation - Integrate backend systems with AI/LLM models, embeddings, vector databases, and agent frameworks.Database & Data ArchitectureHands-on with modern, scalable databases:SQL Databases- PostgreSQL - MySQL - Cloud-native DBs (AWS Aurora, AlloyDB, Azure SQL)NoSQL Databases- MongoDB - DynamoDB - CouchbaseDistributed / High-Performance Datastores- Redis - ElasticSearchVector Databases (for AI products)- Pinecone - Weaviate - Milvus - ChromaAutonomous Database Design- Automated schema evolution - AI-assisted query optimization - Self-healing DB patterns - Auto-indexing and monitoring with AI toolsResponsibilities- Build optimized database schemas (SQL + NoSQL). - Implement scalable data models for DXP + Enterprise Systems. - Ensure ACID integrity and performance at scale. - Handle data caching, sharding, partitioning, replication. - Enable analytics pipelines and event logs.Cloud & DevOps Collaboration- Deploy and maintain backend systems using: - AWS - GCP - Azure - Work with containers and orchestration: - Docker - Kubernetes - Implement CI/CD workflows: - GitHub Actions - GitLab CI - Jenkins - Handle API gateway, load balancers, reverse proxies, NGINX.Security & Compliance- Implement secure APIs - OAuth2 / JWT / SSO - Data encryption in transit & at rest - Secure secrets management - Compliance with GDPR/PII where requiredProduct Architecture & Lifecycle Understanding- Participate actively in Product Life Cycle (PLC) from: - Ideation → POC → MVP → Production → Scale → Maintenance - Contribute to system design, API specifications, feature decomposition. - Understand business logic deeply and translate into backend architecture. - Collaborate with front-end engineers to deliver cohesive end-to-end products.Required SkillsCore Skills- Strong hands-on coding in Node.js, Python, Go, or Java. - Strong grounding in data structures & algorithms. - Deep experience with SQL, NoSQL, and distributed systems. - Experience building large-scale enterprise applications. - Experience working closely with frontend engineers to deliver full-stack capabilities.DXP & Headless Systems- Experience with: - Contentstack, Strapi, Sanity, Ghost, Directus, etc. - Building custom APIs for headless systems - Multi-tenant application logicAI Tools- Familiarity with: - LLM APIs (OpenAI, Claude, Gemini) - Vector search - Embeddings - RAG pipelines - Server-side AI agentsSoft Skills- Excellent communication (English — global client interaction). - High ownership, accountability, and product thinking. - Ability to explain backend architecture to non-technical stakeholders. - Strong collaboration with frontend and product teams.Preferred- Experience building SaaS or DXP platforms. - Experience with ML pipelines, auto-tagging, personalization engines. - Experience with event-driven systems (Kafka, RabbitMQ, SQS). - API performance tuning & scaling.Why Join Us?- Build the backend for future-ready DXP, enterprise systems, and AI-born products. - Work with world-class frontend and design teams. - Use the latest tech + AI to accelerate engineering. - Opportunity to influence product architecture deeply. - Growth-oriented, innovation-driven engineering culture.