HamburgerMenu
hirist

Gleecus TechLabs - Senior Full Stack Engineer - React.js/Python/FastAPI

Gleecus
Others
5 - 8 Years

Posted on: 05/09/2025

Job Description

About the Role

- We are seeking a Senior Full Stack Engineer (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.


info-icon

Did you find something suspicious?