Senior Python Developer

Egen is a technology services company specializing in cloud, data, analytics, AI, and platform engineering. With a team of over 700 technology specialists across the US, Canada, Europe, and India, we help organizations unleash the power of cloud, data, and AI to create possibilities, empower people, and deliver real-world impact. As a recognized Google Cloud Services Leader, we partner with clients across industries to modernize infrastructure, build next-generation digital platforms, and accelerate value. At Egen, our culture is built on being client-obsessed, pushing boundaries, and working together as one team to bring agile, pragmatic delivery to complex challenges.

Role Expectations
As a Senior Python Developer with 8 to 12 years of experience, you will act as a technical leader and core contributor to our engineering initiatives. Your primary responsibilities will include:

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Architecture & Development: Lead the design, development, and deployment of scalable, high-performance Python applications and microservices.

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API Design: Architect and build secure, fast, and reliable RESTful APIs using FastAPI.

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System Integration: Drive seamless Python integrations, connecting diverse internal applications, legacy systems, and external third-party APIs/SaaS platforms.

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Cloud Native Engineering: Deploy, optimize, and manage applications within the Google Cloud Platform (GCP) ecosystem, ensuring high availability and fault tolerance.

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Technical Leadership: Mentor mid-level and junior engineers, enforce coding standards, conduct rigorous code reviews, and advocate for engineering best practices.

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Cross-Functional Collaboration: Work closely with product managers, data engineers, and cloud architects to translate complex business requirements into robust technical solutions.

Technical Requirements:
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Core Experience: 8 to 12 years of hands-on software engineering experience, with a heavy emphasis on backend development using Python.

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Frameworks: Extensive experience building backend services using FastAPI (experience with data validation, dependency injection, and asynchronous programming).

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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.

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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.

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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).

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Software Engineering Practices: Strong grasp of version control (Git), containerization (Docker, Kubernetes), and modern CI/CD pipelines.

Good To Have:
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GCP Certifications: Holding a Google Cloud Professional Developer or Cloud Architect certification.

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Alternative Frameworks: Working knowledge of other popular Python frameworks like Flask or Django.

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Data/AI Exposure: Background or foundational understanding of Data Engineering (ETL pipelines, BigQuery) or integrating Machine Learning models into production environments.

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Agile/Scrum: Experience thriving in an Agile work environment focused on pragmatic delivery and rapid iteration.

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Front-End Familiarity: Basic understanding of modern front-end frameworks (React, Angular) to facilitate smoother full-stack team collaboration.