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Gleecus TechLabs - Python Developer - Django / FastAPI

Gleecus TechLabs - Python Developer - Django / FastAPI

GleecusHyderabad
30+ days ago
Job description

About The Role :

We are seeking a Senior Python Developer (3+ years) to join our Engineering team. The ideal candidate must have strong expertise in backend development (Python, Django / FastAPI, microservices, AWS) and proven hands-on experience with frontend development in React / TypeScript.

A solid background in DevOps and cloud deployment is essential. Experience with Data Engineering, AI / ML, and Gen AI is a big plus.

Key Responsibilities :

  • Design, develop, and maintain scalable APIs and microservices using Python.
  • Build and optimize frontend applications using React / TypeScript, integrated with backend APIs.
  • Deploy, monitor, and manage applications on AWS (ECS / EKS, Lambda, RDS, S3, API Gateway, IAM, etc.
  • Implement and maintain CI / CD pipelines and infrastructure-as-code (Terraform / CloudFormation).
  • Work closely with architects and AI engineers to build and integrate GenAI components.
  • Ensure application reliability, scalability, and security through monitoring and best practices.
  • Collaborate with designers, QA, and product teams in an agile environment to deliver end-to-end features.

Requirements :

  • 3+ years of professional software engineering experience.
  • Strong proficiency in Python, FastAPI, Django, REST APIs, and microservices architecture.
  • Experience in securing the APIs using different authentication and authorization schemes.
  • Proven experience building React / TypeScript frontends integrated with backend services.
  • Expertise on building / maintaining / scaling Relational (PostgreSQL) and Non-relational (MongoDB) databases.
  • Hands-on experience with using AWS services (ECS / EKS, RDS, S3, API Gateway, IAM, Lambda) to build Cloud-native applications.
  • Experience with DevOps tools (Docker, Kubernetes, GitHub Actions, Jenkins, Terraform).
  • Solid knowledge of system design, scalability, and distributed systems.
  • Familiarity with monitoring and performance tuning tools (CloudWatch, Prometheus, ELK).
  • Exposure to Generative AI integration libraries / platforms (LangChain, LlamaIndex, CrewAI, Bedrock, OpenAI APIs, etc.) is a strong plus.
  • (ref : hirist.tech)

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