Senior Software Engineer - Full Stack

Senior Software Engineer - Full Stack

Senior Full-Stack Software Developer

You will also be responsible for managing server infrastructure, ensuring optimal performance, and overseeing tool licensing and deployment. This is a hands-on role that blends software engineering with infrastructure management, ideal for someone who thrives in a dynamic, cross-functional environment.

Key Responsibilities

Software Development

• Design, develop, test, and deploy full-stack web applications using

  React, Django, Python, Java, and SQL

  .


• Build and maintain RESTful APIs to support scalable and secure integrations.


• Collaborate with cross-functional teams to gather requirements and deliver high-impact internal tools.


• Implement CI/CD pipelines using tools like

  Jenkins, TeamCity, Azure DevOps

  , etc.


• Explore and integrate

  AI/ML capabilities

  and

  LLM-based bots

  to enhance tool intelligence and automation.

Server & Infrastructure Management

• Manage and monitor

  Windows VMs

  ,

  GCP environments

  , and

  Kubernetes pods

  .


• Handle performance tuning, server provisioning, and infrastructure scaling.


• Administer tool licensing and ensure compliance with software usage policies.


• Maintain and configure

  GitLab/GitHub

  ,

  Jira

  , and other DevOps tools.

Required Qualifications

• Bachelor s degree in Computer Science, Engineering, or a related field.


• 4+ years of experience in full-stack web development.


• Strong proficiency in:



• React, Django, Python, Java, SQL




• REST API development



• Experience with:
  
  
  

  • CI/CD tools

    (e.g., Jenkins, TeamCity, Azure DevOps)
  
  

  • Server/VM management

    and

    DB deployment

  
  

  • GitLab/GitHub

    ,

    Jira

    configuration and administration
  
  
  
  


• Familiarity with

  JavaScript frameworks

  like

  Vue

  or

  Angular



• Experience with

  build scripting

  ,

  PowerShell

  , and

  workflow automation tools

  (e.g., n8n)


• Exposure to

  ML libraries

  (Python/Scikit-learn/R)


• Knowledge of

  BI tools

  like

  Tableau

  or

  ThoughtSpot



• Understanding of

  application security

  ,

  performance optimization

  , and

  scalability