Senior/Lead Engineer - Python Full Stack

About the Company-

Evalueserve is a global leader in managed services that empower smarter decision-making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4,500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cutting edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work—and today, we are pushing the frontier further with generative and agentic AI.

About the Role

We are seeking a highly skilled Python Full Stack Developer to design, develop, customize, and maintain scalable software applications. The role involves building and deploying complete software stacks, including backend services, middleware layers, and modern front-end interfaces. The ideal candidate will have strong expertise in Python frameworks such as Flask and Django, with proven experience in developing RESTful APIs.

Responsibilities

• As a Python full stack developer, the candidate will participate in the design / development / customization and maintenance of software applications.
• Build python application and deploying a complete software Stack including backend, and Frontend APIs in FLASK / Django, writing core python APIs for Front-end UI (Angular/ React.js).
• Build python middleware service layer entire holistic solution.
• Deployable both on premise and in the cloud for the product development team.
• Develop backend application on Python RESTful application and deployable as Docker Container on Public Cloud platforms or Hybrid cloud.
• Architect & build data application in the cloud (AWS, Azure, GCP).
• Working with the Product Development team, candidate need to write optimize codes on python.

Qualifications

• Bachelor's/master’s degree in computer science, Engineering or equivalent with 4-7 Years of experience in developing software applications.
• Candidate should have worked on version control using GIT and tools like GitHub.
• Knowledge of Cloud Technologies like AWS. Azure or Google.
• Strong unit testing and De-bugging skills.
• Experience in auto document parsing / segmentation to support downstream data science tasks will be a plus.

Required Skills

• Experience of developing secured and high-performance web application(s).
• Must be able to prove you're technically capable with python coding.
• Should be able to solve a programming problem in python using OOPs (Object Oriented Design) concepts.
• Candidate should have knowledge on Pylint, Swagger, and Flagger.
• Should have good understanding on REST API concept, fluent in building Python Flask APIs.
• Experience in building modern web applications using Angular/ React.js for frontend development.
• Understanding of fundamental design principles behind a scalable application.
• Good to have knowledge in multiple database technologies RDBMS, NoSQL DB like Cassandra.

Preferred Skills

• Experience with CI/CD pipelines and DevOps practices.
• Knowledge of data governance and security frameworks.
• Excellent problem-solving and communication skills.

• Bachelor's/master's degree in Computer Science, Engineering or equivalent with 4-7 years of experience developing software applications
• Must prove technical capability with Python coding and OOP (Object Oriented Design) concepts
• Experience developing secured and high-performance web applications
• Strong understanding of REST API concepts and fluency in building Python Flask APIs
• Knowledge of Pylint, Swagger, and Flagger
• Experience building modern web applications using Angular/React.js for frontend development
• Understanding of fundamental design principles behind a scalable application
• Version control experience using GIT and tools like GitHub
• Knowledge of cloud technologies like AWS, Azure or Google
• Strong unit testing and debugging skills
• Good to have knowledge in multiple database technologies (RDBMS, NoSQL like Cassandra)
• Experience with CI/CD pipelines and DevOps practices
• Experience in auto document parsing/segmentation to support downstream data science tasks
• Knowledge of data governance and security frameworks
• Excellent problem-solving and communication skills