Senior Python Developer

5 days ago

Hyderabad, Telangana, India Gleecus TechLabs Inc. Full time ₹ 1,04,000 - ₹ 1,30,878 per year

About The Role
We are seeking a Senior Python Developer (5+ years) to join our Engineering team. The ideal candidate will have strong expertise in backend development (Python/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 ML/AI and Gen AI is a plus.

Key Responsibilities

  • Design, develop, and maintain scalable APIs and microservices using Python (FastAPI).
  • 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 & 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

  • 5+ years of professional software engineering experience.
  • Strong proficiency in Python, FastAPI, REST APIs, and microservices architecture.
  • Proven experience building React/TypeScript frontends integrated with backend services.
  • Hands-on experience with AWS services (ECS/EKS, RDS, S3, API Gateway, IAM, Lambda).
  • Experience with DevOps tools (Docker, Kubernetes, GitHub Actions, Jenkins, Terraform, or equivalent).
  • Solid knowledge of system design, scalability, and distributed systems.
  • Familiarity with monitoring and performance tuning tools (CloudWatch, Prometheus, ELK).
  • Exposure to Generative AI integration (LangChain, LlamaIndex, Bedrock, OpenAI APIs) is a strong plus.
  • Mentor Junior developers and code reviews

Good to Have

  • Familiarity with RAG architectures and LLM-driven workflows.
  • Ability to work in a fast paced Product & SAAS Engineering environment

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