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# Senior Python Platform Engineer

- **Company:** BUSINESS ASSOCIATE INC.
- **Location:** Addison, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $135,200.0 - $166,400.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Airflow, Application Performance Management, Microsoft Azure, C++ (Programming Language), Cloud Engineering, Linux, File Systems, Distributed Systems, Python (Programming Language), Key Management, Automation of Marketing, Redis, Software Engineering, Apache Solr, SQL Databases, Azure Service Bus, Data Logging, Cloud Monitoring, System Availability, Backend, Gitlab, Git, Kubernetes, Deployment Automation, Azure AKS, Restful APIs, Docker
- **Published:** July 11, 2026
- **Apply:** https://www.careerjet.com/jobad/us5d45055278acbcc31b6ff12c22f46cf8

## About the Role

* 10+ years of software engineering experience with strong expertise in Python 3.x backend development
 * Proven experience building and operating scalable production systems
 * Strong understanding of distributed systems, resiliency engineering, and platform reliability
 * Hands-on experience with: Python, Docker, Kubernetes / AKS, Azure cloud services, Apache Airflow, Linux, REST APIs, SQL databases, Git / GitLab, & CI/CD pipelines
 * Experience with any of the following is a strong plus: Azure Container Apps, Azure Storage Accounts, Azure Service Bus, Azure Key Vault, Azure Monitor / Application Insights, Redis, Solr, JavaScript, Java, & C/C++

## Description

* Design and develop scalable Python backend services, APIs, and automation platforms
 * Modernize legacy Python processes into maintainable cloud-native architectures
 * Build distributed systems capable of handling large-file processing and long-running workloads
 * Implement resiliency patterns including retry logic, checkpointing, recovery workflows, and fault isolation
 * Engineer self-healing systems that can recover from network interruptions, infrastructure instability, and container restarts
 * Deploy and manage containerized applications using Docker and Kubernetes (AKS preferred)
 * Develop workflow orchestration solutions using Apache Airflow or similar platforms
 * Build and maintain CI/CD pipelines and deployment automation
 * Establish monitoring, logging, alerting, and observability standards across production environments


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