Backend Developer (AI-Accelerated Engineering + DXP + Enterprise Systems)

Job Description

Backend Developer (AI-Accelerated Engineering + DXP + Enterprise Systems) Experience: 3–5+ years (Senior candidates also welcome) Qualification: B.Tech in Computer Science or equivalent Shifts: Flexible for global time zones (US/EU/APAC) About the Role We 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 Responsibilities Backend 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 integration AI-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 Architecture Hands-on with modern, scalable databases : SQL Databases PostgreSQL MySQL Cloud-native DBs (AWS Aurora, AlloyDB, Azure SQL) NoSQL Databases MongoDB DynamoDB Couchbase Distributed / High-Performance Datastores Redis ElasticSearch Vector Databases (for AI products) Pinecone Weaviate Milvus Chroma Autonomous Database Design Automated schema evolution AI-assisted query optimization Self-healing DB patterns Auto-indexing and monitoring with AI tools Responsibilities 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 required Product 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 Skills Core 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 logic AI Tools Familiarity with: LLM APIs (OpenAI, Claude, Gemini) Vector search Embeddings RAG pipelines Server-side AI agents Soft 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.