Company
Technology
SeniorFullStack(UI+Python)Developer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior FullStack (UI + Python) Developer. Skills: Python, FastAPI, React, Angular, Google Cloud Platform. Build backend services using FastAPI. Build responsive user experiences”
Industry & Context.
What They're Looking For.
Must Have
6 to 12 years software engineering experience, Backend development using Python, FastAPI experience, Modern JavaScript frameworks experience, React or Angular experience, Standard Python libraries proficiency, Pydantic, SQLAlchemy, Requests, Pytest proficiency, Pandas and NumPy proficiency, System integration experience, Enterprise databases experience, Message brokers experience, API-to-API communication layers experience, Google Cloud Platform knowledge, Version control (Git) knowledge, Containerization (Docker, Kubernetes) knowledge, CI/CD pipelines knowledge
Nice to Have
Google Cloud Professional Developer certification, Google Cloud Architect certification, Flask or Django working knowledge, Data Engineering background, ETL pipelines knowledge, BigQuery knowledge, Machine Learning models integration knowledge, Agile work environment experience
What You'll Do.
Build backend services using FastAPI
Build responsive user experiences
Build scalable user experiences
Build interactive user experiences
Integrate with enterprise databases
Integrate with message brokers
Build API-to-API communication layers
Deploy applications using GCP services
Write code using Claude
Write code using Cursor
Write code using Co-Pilot
How You'll Work.
Team & Collaboration
Agile work environment
Process & Methodology
Agile, Scrum
Full Job Description
## 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.
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