Senior Full Stack Developer

Job description

**Job Title: Senior Full stack Developer** **Job Overview:** The Backend Developer will be responsible for designing, developing, and maintaining scalable backend and on-premise microservices for the AI-Enabled Engineering Intelligence Platform. This role requires hands-on experience in Node.js, TypeScript, Python, **FastAPI**, REST APIs, microservices, databases, enterprise integrations, and secure deployment in customer-controlled environments. The engineer will work with architects, data engineers, AI/ML engineers, frontend developers, DevOps, and business stakeholders to build backend services that support data ingestion, document processing, AI agents, workflow orchestration, validation, and enterprise system integration. **Key Responsibilities:** - Design and develop backend services and microservices using Node.js, TypeScript, Python, and FastAPI. - Develop scalable REST APIs for platform modules, AI agents, data pipelines, document workflows, and user interface integration. - Build on-premise deployable microservices that can run securely within customer infrastructure without external dependency where required. - Implement backend services for information extraction, information retrieval, impact analysis, document validation, authoring support, and workflow management. - Integrate with enterprise systems such as SAP, SharePoint, Solumina, EagleNET, engineering document systems, and internal applications. - Develop backend logic for user management, role-based access control, approval workflows, task routing, audit tracking, and document lifecycle management. - Support AI-enabled workflows by integrating backend services with RAG pipelines, embeddings, vector databases, AI agents, prompt orchestration, and MCP layers. - Work with structured and unstructured data from APIs, Excel files, FTP/SFTP, SharePoint, enterprise exports, PDFs, Word documents, and metadata repositories. - Design and manage database interactions using PostgreSQL, MySQL, MongoDB, Redis, SQLite, or similar data stores. - Implement secure API access using OAuth2, OpenID Connect, JWT, API keys, RBAC, and enterprise authentication mechanisms. - Build reusable backend components following microservices, clean architecture, modular design, and secure coding practices. - Support event-driven and message-based processing using Kafka, RabbitMQ, Redis Queue, Celery, AWS SQS/SNS, or similar technologies. - Collaborate with frontend teams to provide APIs for dashboards, uploads, downloads, document review, workflow monitoring, and integrations. - Write unit tests, integration tests, API tests, and support QA during functional, regression, and system testing. - Support deployment using Docker, Kubernetes, Docker Compose, CI/CD pipelines, and on-premise runtime environments. - Ensure backend services are reliable, scalable, secure, observable, maintainable, and suitable for enterprise-grade production usage. **Required Skills:** - 10+ years of backend development experience with hands-on expertise in **Node.js and/or Python**. - Strong experience in **Python, FastAPI** for building APIs and microservices. - Strong proficiency in **TypeScript / JavaScript** and backend frameworks such as **NestJS, Express.js, or Fastify**. - Hands-on experience in developing RESTful APIs and microservices-based applications. - Good understanding of microservices architecture, service boundaries, API contracts, distributed systems, and service-to-service communication. - Experience with databases such as **PostgreSQL, MySQL, MongoDB, Redis, SQLite**, or similar technologies. - Experience in integrating enterprise systems through APIs, file-based interfaces, FTP/SFTP, SharePoint, and middleware services. - Knowledge of authentication and authorization using **OAuth2, JWT, OpenID Connect, RBAC**, and secure API practices. - Hands-on experience with **Docker, Docker Compose**, and basic understanding of Kubernetes or containerized deployments. - Experience with **on-premise application deployment**, environment configuration, network constraints, secure endpoints, and customer-controlled infrastructure. - Experience with Git, Azure DevOps / GitHub, Postman, Swagger/OpenAPI, Jira, and API documentation standards. - Good understanding of CI/CD pipelines, logging, monitoring, exception handling, and production support. - Ability to write clean, maintainable, testable, and deployment-ready backend code. **Preferred Skills:** - Experience working on AI-enabled platforms, engineering data platforms, document processing systems, or enterprise automation platforms. - Basic understanding of LLMs, RAG, embeddings, vector databases, AI agents, MCP, and prompt orchestration. - Experience with LangChain, LlamaIndex, OpenAI APIs, Azure AI, local LLMs, or on-premise AI model integration. - Experience with engineering or manufacturing systems such as SAP, PLM, MES, SharePoint, Solumina, EagleNET, or document management platforms. - Knowledge of document processing using Python libraries for PDF, Excel, Word, JSON, XML, and unstructured data handling. - Experience with event-driven architecture, Kafka, RabbitMQ, Redis Streams, Celery, or message queues. - Experience with cloud platforms such as Azure, AWS, or GCP, along with ability to support hybrid or on-premise deployment models. - Familiarity with Terraform, ARM templates, CloudFormation, or infrastructure automation. - Exposure to observability tools such as ELK, Prometheus, Grafana, Datadog, or New Relic. - Knowledge of secure deployment practices in restricted, air-gapped, customer-controlled, or on-premise environments. - Good communication skills and ability to work with architects, product teams, data teams, AI teams, DevOps, and business stakeholders.