Senior Python LLM Engineer - AI Openshift
Irving, Texas, United States of America
Contract
2 days ago
$86 USD
Key skills
PythonLLMAzureGoogle CloudOpenShiftLeadershipCollaboration
About this role
Exciting contract opportunity for a Senior Python LLM Engineer supporting a large, entertprise-scale organization modernizing IT Operations across Azure, Google Cloud Platform (Google Cloud Platform), and Red Hat OpenShift. The role focuses on improving service stability, operational readiness, and incident response within a hybrid cloud environment, leveraging Python automation, LLM?enabled tooling, container platforms, and cloud infrastructure to drive standardized, scalable operations.
The defining feature of this role is its impact and influence. This engineer will act as a hands-on operational leader and change agent, directly shaping how IT Operations functions across cloud and container platforms. You'll have the opportunity to replace legacy support models with modern, standardized frameworks while working closely with infrastructure, platform, security, and application teams. If you enjoy solving complex operational challenges, leading incident response, and building intelligent automation that improves reliability at scale, this role offers significant professional growth, high visibility, and exposure to enterprise-level transformation initiatives.
Required Skills & Experience
Responsibilities include driving improvements to IT Operations practices, leading major incident management calls, delivering post-incident reviews and corrective actions, validating operational readiness and controls prior to production releases, identifying and remediating operational gaps, developing Python-based automation and LLM-enabled tools, and partnering with cross-functional teams to improve service stability across hybrid cloud platforms
The defining feature of this role is its impact and influence. This engineer will act as a hands-on operational leader and change agent, directly shaping how IT Operations functions across cloud and container platforms. You'll have the opportunity to replace legacy support models with modern, standardized frameworks while working closely with infrastructure, platform, security, and application teams. If you enjoy solving complex operational challenges, leading incident response, and building intelligent automation that improves reliability at scale, this role offers significant professional growth, high visibility, and exposure to enterprise-level transformation initiatives.
Required Skills & Experience
- 7+ years of engineering experience or equivalent combination of work, consulting, military, or education
- Strong Python development experience focused on automation and operational tooling
- Hands-on experience with Microsoft Azure and Google Cloud Platform (Google Cloud Platform)
- Deep operational experience with Red Hat OpenShift and container platforms
- Advanced Unix/Linux systems administration in large enterprise environments
- Proven experience leading or facilitating high-severity (major) incident management calls
- Demonstrated ability to influence process improvement and adoption of operational frameworks
- Experience working within enterprise IT Operations models
- Experience developing or integrating LLM-enabled tools for diagnostics or operations
- Experience conducting Operational Readiness Reviews (ORR)
- Familiarity with enterprise monitoring, alerting, and control validation practices
- Experience driving standardization and simplification across hybrid cloud environments
- Strong cross-functional collaboration skills across infrastructure, security, and application teams
- 35% Cloud & Container Platforms (Azure, Google Cloud Platform, OpenShift)
- 30% Python Automation & LLM?Enabled Tooling
- 20% Unix/Linux Systems Administration & Operations
- 15% Process Improvement, ORR, and Operational Governance
- 60% Hands?On Engineering, Automation, and Incident Support
- 20% Operational Leadership, ORR, and Process Standardization
- 20% Team Collaboration & Cross?Functional Partnership
Responsibilities include driving improvements to IT Operations practices, leading major incident management calls, delivering post-incident reviews and corrective actions, validating operational readiness and controls prior to production releases, identifying and remediating operational gaps, developing Python-based automation and LLM-enabled tools, and partnering with cross-functional teams to improve service stability across hybrid cloud platforms