Senior Python Platform Engineer - GCP

Senior Python Platform Engineer GCP

Location: Charlotte, NC 28202



Work Model: Hybrid



Experience: 10+ Years

Job Summary

We are seeking an experienced Python Platform Engineer to design and build a containerized API layer that abstracts and governs interactions with Apache Spark/PySpark through well-defined API contracts.

The role focuses on building scalable platform capabilities and reusable services , rather than simply consuming existing data tools. The ideal candidate will have strong experience developing production-grade APIs in Python, working with data frameworks and pipeline orchestration systems, and deploying containerized services using Docker/Kubernetes .

The candidate should also have strong GCP experience , excellent client communication skills, and the ability to coordinate onsite and offshore development teams.

Must-Have Skills

• Python
• PySpark
• API Development
• Microservices
• CI/CD
• GCP
• ETL
• FastAPI
• Kubernetes
• Docker
• Pytest

Technical Skills

• 10+ years of IT/software engineering experience
• Strong hands-on experience with Python-based platform engineering
• Experience building production-grade APIs using FastAPI
• Strong knowledge of PySpark/Apache Spark
• Experience designing and developing microservices
• Experience building control planes/platform services
• Strong understanding of software design patterns
• Experience with containerized services using Docker and Kubernetes
• Hands-on experience with GCP
• Experience implementing CI/CD pipelines, preferably using GitHub Actions
• Strong knowledge of functional and behavioral testing
• Experience with Pytest

Platform & Design Patterns

Experience with the following concepts is highly desirable:

• Modular containerized services
• Asynchronous processing
• Job-based work queue execution
• Immutability and idempotency
• Metadata management
• Policy enforcement
• Semantic modeling
• Observability and telemetry
• Side-effect capability injection
• API contract design and versioning
• Reusable platform services

Frameworks & Platforms

• Python
• FastAPI
• ARQ
• PySpark
• Kubernetes
• Docker
• GCP
• Pytest
• GitHub Actions