Full Stack Engineer

• *Project Role :** Full Stack Engineer

• *Project Role Description :** Responsible for developing and/or engineering the end\-to\-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.

• *Must have skills :** Python Frameworks, Machine Learning Operations, AWS AI Services, Google Cloud Document AI, ADF and Azure functions from s, AWS Q

• *Good to have skills :** NA

Minimum **5** year(s) of experience is required

• *Educational Qualification :** 15 years full time education

Summary

As a Full Stack Engineer, a typical day involves designing and building comprehensive system features that span from the user interface to the backend infrastructure. This role requires actively engaging in the full software development lifecycle, ensuring seamless integration of components while focusing on delivering innovative and efficient solutions. The engineer collaborates with various stakeholders to understand requirements and applies a cloud\-first and agile approach to address complex business challenges, continuously exploring and adopting new technologies to enhance service delivery and user experience.

Roles \& Responsibilities

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead the design and implementation of scalable and maintainable software solutions.
• Facilitate knowledge sharing and mentorship within the team to foster professional growth.
• Coordinate cross\-functional efforts to align development activities with business goals.

Professional \& Technical Skills

• Must To Have Skills: Proficiency in Python Frameworks, Google Cloud Document AI, Machine Learning Operations, AWS AI Services, AI foundations, prompt engineering, LLM/RAG development, cloud\-native AI services (AWS/Azure/GCP), data pipelines, containerization (Docker/Kubernetes), and AI\-assisted automation tools such as AWS Q, Azure Copilot, and Gemini Cloud Assist
• Strong experience in developing and maintaining backend services and APIs using Python frameworks.
• Familiarity with cloud computing platforms and their integration within software solutions.
• Ability to design and implement scalable, secure, and efficient code following best practices.
• Experience with containerization and orchestration tools to support deployment and scalability.
• Knowledge of continuous integration and continuous deployment pipelines to streamline development.

Additional Information

• The candidate should have minimum 5 years of experience in Python Frameworks.

\- This position is based at our PDC3C \- SEZ office.

• A 15 years full time education is required.

15 years full time education