Senior Python Platform Engineer

Paracom, Inc.

Addison, TX, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Compensation

$145,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

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 Fault Tolerance

+21 more

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 Build Management Kubernetes Deployment Automation Azure AKS Restful APIs Docker Container Apps

Job description

Our client in Addison, TX, is seeking a Senior Python Platform Engineer to design and build resilient, cloud-native backend systems that support critical enterprise operations. This is a hands-on role focused on creating scalable, self-healing platforms that perform reliably in production environments. You’ll modernize backend services, replace fragile automation with distributed systems, and build infrastructure centered on scalability, observability, fault tolerance, and maintainability. This is a direct-hire opportunity working fully on-site in Addison, TX., * 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

Requirements

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++