DevOps Engineer (AIOps)

Job Summary:

The AIOps Engineer is a technical operational engineering role responsible for improving DevOps, Production Support, Release Management, Test Automation, and platform operations through intelligent automation, operational tooling, observability, and AI-enabled capabilities.

This role focuses on building scalable operational solutions that improve system reliability, reduce manual operational effort, strengthen production visibility, and optimize engineering support workflows across the Connected and OBE programs.

The AIOps Engineer partners closely with Engineering, DevOps, Production Support, Architecture, and Release teams to identify improvement opportunities, streamline operational processes, and implement practical solutions across monitoring, incident management, deployment operations, operational analytics, release coordination, and support workflows.

This role contributes to implementing operational tooling, automation frameworks, intelligent monitoring capabilities, and AI-assisted solutions that improve operational efficiency, engineering effectiveness, and platform stability.

This is a hands-on engineering role focused on applying modern operational engineering practices to solve enterprise operational challenges through automation, operational intelligence, and scalable engineering solutions.

The AIOps Engineer helps improve operational scalability, support responsiveness, operational maturity, and engineering efficiency while aligning enterprise technology and governance standards. 

Required in-office presence at least 2 days per week

Responsibilities

Essential Functions:


* Design, develop, and maintain intelligent operational solutions, automation workflows, scripts, integrations, and orchestration capabilities across DevOps, Production Support, Release Management, Test Automation, and operational ecosystems.


* Identify operational bottlenecks, repetitive support activities, and manual engineering processes suitable for automation and operational optimization.


* Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, and engineering efficiency.


* Improve observability and operational visibility through dashboards, monitoring integrations, alerting, logging, analytics, reporting, and release insight solutions across enterprise platforms.


* Partner with Engineering, DevOps, Architecture, Production Support, and Release teams to improve operational scalability, engineering effectiveness, and platform reliability.


* Support operational triage, incident coordination, root cause analysis, and operational response workflows through automation and intelligent operational tooling.


* Evaluate, implement, and enhance operational tooling, integrations, automation frameworks, orchestration capabilities, and operational intelligence solutions.


* Support release operations, deployment visib...