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

Experience: 35+ years (Senior candidates also welcome)

Qualification: B.Tech in Computer Science or equivalent

Shifts: Flexible for global time zones (US/EU/APAC)

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 .

• 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.

• 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

• 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.

Hands-on with modern, scalable databases :

• PostgreSQL
• MySQL
• Cloud-native DBs (AWS Aurora, AlloyDB, Azure SQL)

• MongoDB
• DynamoDB
• Couchbase

• Redis
• ElasticSearch

• Pinecone
• Weaviate
• Milvus
• Chroma

• Automated schema evolution
• AI-assisted query optimization
• Self-healing DB patterns
• Auto-indexing and monitoring with AI tools

• 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.

• 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.

• Implement secure APIs
• OAuth2 / JWT / SSO
• Data encryption in transit & at rest
• Secure secrets management
• Compliance with GDPR/PII where required

• 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.

• 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.

• Experience with:
• Contentstack, Strapi, Sanity, Ghost, Directus, etc.
• Building custom APIs for headless systems
• Multi-tenant application logic

• Familiarity with:
• LLM APIs (OpenAI, Claude, Gemini)
• Vector search
• Embeddings
• RAG pipelines
• Server-side AI agents

• 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.

• 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.

• 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.