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# Site Reliability Engineer with Python

- **Company:** BC Forward
- **Location:** Charlotte, NC, United States
- **Salary:** $153,234.0
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Configuration Management, DevOps, Python (Programming Language), Linux System Administration, Reliability Engineering, Ansible, Data Logging, Cloud Platform System, Grafana, Infrastructure Automation Frameworks, Splunk, Dynatrace
- **Published:** October 4, 2026
- **Apply:** https://www.disabledperson.com/jobs/75738449-site-reliability-engineer-with-python

## About the Role

We are seeking a Site Reliability Engineer with Python to join our dynamic team. The ideal candidate will have strong experience in Python development, Linux administration, infrastructure automation, observability, and cloud-native platforms and a proven ability to improve reliability, enhance observability, and drive operational efficiency at scale., * Strong Python development experience for tooling and automation.

 * Deep Linux administration and troubleshooting expertise.
 * Infrastructure engineering background with proven automation delivery.
 * Hands-on experience with Ansible for configuration management.
 * Observability and monitoring experience, Dynatrace preferred.
 * Experience operating large-scale production environments.
 * Cloud experience with Azure and/or AWS, with AKS or EKS strongly preferred.
 * Knowledge of SRE, Reliability Engineering, and DevOps practices.
 * Experience with Infrastructure-as-Code and automation frameworks.
 * Domain experience in Financial Services or trading platforms.

Preferred Skills:

 * Experience with Splunk and Grafana.
 * Familiarity with Anyscale or Ray.

## Description

* Own reliability and operational health for core platform services and components.
 * Design, implement, and maintain automation for infrastructure and operational workflows.
 * Improve platform and application observability using modern monitoring and logging tools.
 * Lead incident response, troubleshoot production issues, and drive post-incident remediation.
 * Partner with core engineering teams on platform modernization and cloud migration initiatives.
 * Harden production systems and evolve internal support tooling to reduce operational risk.


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