Senior Backend Engineer – Node.js/Python APIs (8+ years)

Winzons; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Cyient Limited is seeking a Senior Backend Engineer to design, develop, and maintain scalable backend services and on-premise microservices for an AI-enabled platform. You will collaborate with architects, data engineers, AI teams, and DevOps to build data ingestion, document processing, and enterprise integrations.

The role requires hands-on expertise in Node.js, TypeScript, Python, FastAPI, REST APIs, and robust database integration.

Qualifications

• 8+ years of backend development experience with hands-on Node.js and/or Python.

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, and workflows.
• Build on-premise deployable microservices within customer infrastructure.
• Implement backend services for information extraction, validation, and workflow management.
• Integrate with enterprise systems such as SAP, SharePoint, and other internal apps.
• Develop backend logic for user management, RBAC, and audit trails.
• Support backend for AI-enabled workflows including RAG pipelines and vector databases.
• Collaborate with frontend teams to provide APIs for dashboards and document processing.
• Write unit/integration tests and support QA and deployments.

Skills

Backend development

Node.js

Python

TypeScript/JavaScript

FastAPI

REST APIs

Microservices

Databases

OAuth2/OpenID Connect

Docker

Education

Bachelor's Degree in Computer Science/Engineering

Tools

Docker Compose

Kubernetes

Git

Postman/Swagger

CI/CD tools

Azure DevOps / GitHub

Job description

Company Name: Cyient Limited Job Role: Senior Backend Engineer Work Type: Full-Time Experience: 8 to 10+ Years Qualification: Bachelor’s Degree in Computer Science, Engineering, or related field Location: Hyderabad/Bangalore

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.