Hybrid Senior Python Developer

at Egen

• Job title: Senior Python Developer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Angular, BigQuery, Cloud, Django, Docker, ETL, Flask, Google Cloud Platform, Kafka, Kubernetes, NoSQL, Numpy, Pandas, Python, React, SQL
• Location requirements: Hybrid, Hyderabad, India

About the role

• Senior Python Developer in Hyderabad focusing on backend development using Python and FastAPI, collaborating with teams for system integration.

Responsibilities

• Engage in backend development using Python and related technologies.
• Collaborate with cross-functional teams for system integration and project delivery.
• Design and implement backend services with best practices in mind.
• Participate in code reviews and contribute to team knowledge sharing.

Requirements

• Core Experience: 8 to 12 years of hands-on software engineering experience, with a heavy emphasis on backend development using Python.
• Frameworks: Extensive experience building backend services using FastAPI (experience with data validation, dependency injection, and asynchronous programming).
• Python Libraries: Deep proficiency with standard and foundational Python libraries, including but not limited to Pydantic, SQLAlchemy, Requests, Pytest, as well as data-manipulation libraries like Pandas and NumPy.
• Integration Expertise: Proven track record in system integration—working with enterprise databases (SQL/NoSQL), message brokers (e.g., Kafka, GCP Pub/Sub), and building robust API-to-API communication layers.
• Cloud Platforms: Solid hands-on knowledge of Google Cloud Platform (GCP). Familiarity with deploying applications using GCP services (e.g., Cloud Run, Cloud Functions, GKE, Compute Engine, or App Engine).
• Software Engineering Practices: Strong grasp of version control (Git), containerization (Docker, Kubernetes), and modern CI/CD pipelines.
• Good To Have: GCP Certifications: Holding a Google Cloud Professional Developer or Cloud Architect certification.
• Alternative Frameworks: Working knowledge of other popular Python frameworks like Flask or Django.
• Data/AI Exposure: Background or foundational understanding of Data Engineering (ETL pipelines, BigQuery) or integrating Machine Learning models into production environments.
• Agile/Scrum: Experience thriving in an Agile work environment focused on pragmatic delivery and rapid iteration.
• Front-End Familiarity: Basic understanding of modern front-end frameworks (React, Angular) to facilitate smoother full-stack team collaboration.