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

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

Experience:

Qualification:

Shifts:

About the Role

high-caliber Backend Developer

our DXP

product architecture, microservices, cloud-native design, database systems, event-driven architectures, and AI-assisted engineering

tight collaboration

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

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.