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Senior Backend Engineer at ZENSAR TECHNOLOGIES SINGAPORE PTE LTD

, , India -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, FastAPI, Azure, Microservices, Cloud-native development, Docker, Kubernetes, GitHub Actions, SQL, NoSQL, OAuth2, JWT, RBAC, LLM, LangChain, Agentic AI

Industry

IT Services and IT Consulting

Description

Senior Backend Engineer – 5+ years Role Overview Seeking a Senior Backend Engineer with strong expertise in Python, FastAPI, cloudnative development, and Azure services. The role involves building secure, scalable APIs, microservices, and AIintegrated backend systems. Key Responsibilities * Develop scalable APIs and microservices using Python & FastAPI. * Implement secure authentication/authorization (OAuth2, JWT, RBAC). * Work with SQL & NoSQL databases and ORM frameworks. * Build cloudnative workloads using Azure App Services, Functions, Service Bus, Event Grid, Blob Storage, Key Vault, API Management. * Containerize and deploy services using Docker, Kubernetes, and GitHub Actions CI/CD. * Implement monitoring, logging, and observability best practices. * Integrate backend systems with LLM APIs, build workflows using LangChain, and apply Agentic AI concepts. Required Skills * 7+ years of backend engineering experience. * Strong proficiency in Python, FastAPI, microservices, and eventdriven patterns. * Hands-on with cloud-native design, containers, and orchestration. * Experience with Azure services, databases, and secure API development. * Familiarity with LLMs, LangChain, and AI-based workflows. Preferred * Experience with enterprise-scale distributed systems. * Strong understanding of performance optimization and security best practices. * Exposure to Agile/Scrum environments.

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Responsibilities

Develop and maintain scalable APIs, microservices, and AI-integrated backend systems using Python and FastAPI. Implement secure authentication, cloud-native workloads on Azure, and integrate backend systems with LLM APIs and agentic workflows.