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# Lead AI-Assisted SRE / AIOps Engineer

- **Company:** GTSS Inc
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, JIRA, Microsoft Azure, Bash Shell, Cloud Computing, Information Technology Operations, Python (Programming Language), Windows PowerShell, Reliability Engineering, Runbook, Smoke Testing, Systems Integration, Scripting, Delivery Pipeline, Kubernetes, ArcSight Event Correlation, GPT, Servicenow
- **Published:** June 18, 2026
- **Apply:** https://www.dice.com/job-detail/41046eb6-9299-4cd9-ac9a-07155caf5609

## About the Role

This is not a pure support role. The ideal candidate must be technically strong, practical, and capable of using independent judgment rather than relying blindly on AI outputs., * Total 14+ years of experience required and around 5+ years of hands-on experience in IT operations, cloud operations, SRE, platform support, or production engineering

 * Proven experience in production support, incident handling, automation, and operational troubleshooting
 * Experience working with monitoring, observability, scripting, and release validation
 * Must have AIOps, AI-assisted operations, or automation-led support models Experience., * Strong hands-on scripting experience in PowerShell, Python, Shell/Bash
 * Experience with monitoring, alerting, logs, dashboards, and incident workflows
 * Good understanding of production support processes, release support, and validation practices
 * Experience with cloud platforms, preferably Azure
 * Familiarity with ITSM/ticketing tools such as ServiceNow, Jira, or similar
 * Ability to understand existing operational scripts and modernize them into scalable workflows
 * Experience with APIs, integrations, or automation pipelines is preferred
 * Exposure to Kubernetes / AKS/AI tools - ChatGPT, copilot is a plus

## Description

* Lead the adoption and operationalization of the SRE agent across support and reliability workflows
 * Translate existing scripts, runbooks, SOPs, and operational knowledge into agent-compatible workflows
 * Work with teams to identify which use cases should be automated, semi-automated, or remain human-driven
 * Validate agent outputs, recommendations, and remediation steps before operational use
 * Support production releases, release validation, smoke testing, and post-release health checks
 * Drive troubleshooting during incidents and ensure proper root cause analysis and follow-through
 * Improve alert handling, event correlation, and operational response patterns
 * Coordinate with engineering, operations, and platform teams on onboarding and process changes
 * Mentor junior engineers and guide them on workflow design, validation, and operational execution
 * Maintain high-quality documentation, runbooks, and operational standards


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