System Architect

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 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 DevelopmentDesign and develop scalable backend systems using:Node.Js / Express / NestJSPython / FastAPI / DjangoGo (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 EngineeringBuild backend engines for headless DXP including:Content modelingMulti-tenant architecturePersonalization layersWorkflow automationTemplate managementContribute to creating our OWN DXP backend and API ecosystem, not just using external CMS tools.Manage backend for:User management & authRole-based accessMulti-site deliveryLocalizationCaching & CDN integrationAI-Accelerated Backend DevelopmentUse AI coding tools (Cursor, Windsurf, GitHub Copilot, ChatGPT/Claude Code) for:Rapid API developmentData modelingBoilerplate generationAutomated documentationCode optimizationTest-case generationIntegrate backend systems with AI/LLM models, embeddings, vector databases, and agent frameworks.Database & Data ArchitectureHands-on with modern, scalable databases:SQL DatabasesPostgreSQLMySQLCloud-native DBs (AWS Aurora, AlloyDB, Azure SQL)NoSQL DatabasesMongoDBDynamoDBCouchbaseDistributed / High-Performance DatastoresRedisElasticSearchVector Databases (for AI products)PineconeWeaviateMilvusChromaAutonomous Database DesignAutomated schema evolutionAI-assisted query optimizationSelf-healing DB patternsAuto-indexing and monitoring with AI toolsResponsibilitiesBuild 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 CollaborationDeploy and maintain backend systems using:AWSGCPAzureWork with containers and orchestration:DockerKubernetesImplement CI/CD workflows:GitHub ActionsGitLab CIJenkinsHandle API gateway, load balancers, reverse proxies, NGINX.Security & ComplianceImplement secure APIsOAuth2 / JWT / SSOData encryption in transit & at restSecure secrets managementCompliance with GDPR/PII where requiredProduct Architecture & Lifecycle UnderstandingParticipate actively in Product Life Cycle (PLC) from:Ideation → POC → MVP → Production → Scale → MaintenanceContribute 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 SkillsStrong 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 SystemsExperience with:Contentstack, Strapi, Sanity, Ghost, Directus, etc.Building custom APIs for headless systemsMulti-tenant application logicAI ToolsFamiliarity with:LLM APIs (OpenAI, Claude, Gemini)Vector searchEmbeddingsRAG pipelinesServer-side AI agentsSoft SkillsExcellent 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.PreferredExperience 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.