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Senior Research Engineer

LG Soft India Private Limited
Posted on
LG Soft India Private Limited logo

Experience
3 - 6 yrs
Salary (CTC)
₹24.5L - ₹27.1L
Job Location
Bengaluru, India
Vacancy
1
Designation
Senior Research Engineer
Job Type
Not specified

Job Description

We are looking for a skilled Engineer who can design, develop, and maintain scalable microservices and modern front-end applications. The ideal candidate should have strong hands-on experience in Python (Flask), React JS, microservices architecture, containerization, and cloud environments.

Key Responsibilities
  • Design, develop, and maintain microservices using Python (Flask) .
  • Develop modern, responsive front-end applications using React JS , integrated with backend APIs.
  • Participate in microservices architecture design and implementation .
  • Build, deploy, and operate services in Docker and Kubernetes (CNCF) environments.
  • Manage and operate AWS environments , especially EKS (Elastic Kubernetes Service) .
  • Set up and maintain CI/CD pipelines , preferably using GitLab .
  • Work collaboratively using Git for version control and team development.
  • Design and manage databases such as PostgreSQL, SQLAlchemy, MongoDB .
  • Configure and manage application servers including Gunicorn .
Required Qualifications
  • 3 to 5 years of relevant experience in software engineering.
  • Strong hands-on experience with Python backend development using Flask .
  • Experience in building REST APIs and integrating with databases (PostgreSQL, SQLAlchemy, MongoDB).
  • Solid experience with React JS for front-end development.
  • Experience with Git for version control and collaborative development.
  • Familiarity with Docker and Kubernetes .
  • Experience with CI/CD pipelines and DevOps practices is an advantage.
  • Basic familiarity with AWS or other cloud platforms.
Preferred Qualifications
  • Experience with microservices architecture and distributed systems.
  • Knowledge of embedded file systems and related file formats .
  • Experience with asynchronous programming in Python (e.g., asyncio).
  • Hands-on exposure to AWS EKS .

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