Lead AI-Assisted SRE / AIOps Engineer

GTSS Inc

United States

3 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

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

+7 more

Systems Integration Scripting Delivery Pipeline Kubernetes ArcSight Event Correlation GPT Servicenow

Job 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

Requirements

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