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# Python Platform Architect

- **Company:** Lorven Technologies Inc
- **Location:** Charlotte, NC, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Continuous Integration, DevOps, Distributed Systems, Django Web Framework, Python (Programming Language), Enterprise Messaging Systems, NoSQL, SQL Databases, Google Cloud, Flask (Web Framework), Apache Spark, Backend, Fastapi, Containerization, Apache Kafka, Restful APIs, Docker, Microservices
- **Published:** August 8, 2026
- **Apply:** https://www.dice.com/job-detail/8c401339-e766-4221-a0cf-3e8cd6915c30

## About the Role

* Strong proficiency in Python development.
 * Hands-on experience designing and building Microservices.
 * Solid understanding of Distributed Computing concepts and architectures.
 * Experience developing RESTful APIs and backend services.
 * Knowledge of Docker and Kubernetes for containerized deployments.
 * Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
 * Familiarity with SQL and NoSQL databases.
 * Understanding of CI/CD pipelines and DevOps practices.
 * Experience with Apache Spark is a strong plus.
 * Knowledge of messaging technologies such as Kafka is desirable.

## Description

Platform Architect

 * Developer Experience to define and deliver how engineering teams consume platform capabilities through intuitive, self-service developer workflows.
 * This role will own the architecture, design, and implementation of developer-facing platform experiences, enabling teams to onboard, build, deploy, and operate applications efficiently.
 * Key Responsibilities
 * Design and architect developer workflows, self-service capabilities, and platform integration patterns.
 * Design, develop, test, and maintain robust RESTful APIs and microservices using Python.
 * Build scalable backend services using frameworks such as FastAPI, Flask, or Django REST Framework.
 * Define how developers consume CI/CD, automation, infrastructure, and platform services.
 * Partner with engineering and platform teams to translate business and technical requirements into scalable solutions.
 * Drive end-to-end delivery from architecture and design through implementation and adoption.
 * Develop reference architectures, reusable patterns, APIs, and automation frameworks.
 * Solid understanding of Distributed Computing concepts and architectures.
 * Knowledge of Docker and Kubernetes for containerized deployments.
 * Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
 * Familiarity with SQL and NoSQL databases.


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