Senior FullStack (UI + Python) Developer
Domain
Tech Stack
Must-Have Requirements
- ✓6-12 years of software engineering experience
- ✓Backend development using Python
- ✓FastAPI experience
- ✓Modern JavaScript framework experience (React or Angular)
- ✓Python libraries: Pydantic, SQLAlchemy, Requests, Pytest, Pandas, NumPy
- ✓System integration experience with databases and message brokers
- ✓Google Cloud Platform (GCP) knowledge
- ✓Git version control
- ✓Docker and Kubernetes containerization
- ✓CI/CD pipeline experience
Nice to Have
- -GCP certifications (Professional Developer or Cloud Architect)
- -Flask or Django experience
- -Data Engineering background (ETL, BigQuery)
- -Machine Learning model integration experience
- -Agile/Scrum experience
- -Claude, Cursor, or Co-Pilot experience
Description
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 FullStack Developer with 6 to 12 years of experience, you will act as a technical leader and core contributor to our engineering initiatives. Your primary responsibilities will include
Architecture & Development: Lead the design, development, and deployment of scalable, high-performance FullStack applications and microservices. API Design: Architect and build secure, fast, and reliable RESTful APIs using FastAPI. UI Design: Conceptualize and develop responsive, user-friendly, and accessible user interfaces using modern JavaScript frameworks (e.g., Angular, React, Vue.js). System Integration: Drive seamless Python integrations, connecting diverse internal applications, legacy systems, and external third-party APIs/SaaS platforms. Cloud Native Engineering: Deploy, optimize, and manage applications within the Google Cloud Platform (GCP) ecosystem, ensuring high availability and fault tolerance. Technical Leadership: Mentor mid-level and junior engineers, enforce coding standards, conduct rigorous code reviews, and advocate for engineering best practices. Cross-Functional Collaboration: Work closely with product managers, data engineers, and cloud architects to translate complex business requirements into robust technical solutions.
Technical Requirements
Core Experience
6 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).
Front-End Proficiency
Hands-on experience and demonstrable skill in utilizing modern JavaScript frameworks, such as React or Angular , to build responsive, scalable, and highly interactive user experiences.
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. Experience in writing code using tools such as Claude, Cursor, Co-Pilot etc.