DevOps Engineer

Job Summary:

The DevOps Engineer is a technical operational engineering role responsible for improving DevOps, 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 DevOps 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 is expected to independently drive operational change, collaborate with peer teams and senior DevOps engineers, and influence adoption of scalable automation and AI-assisted engineering practices.

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

Responsibilities

Essential Functions:


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


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


* Independently drive operational improvement initiatives from discovery through implementation, partnering with peer teams, senior DevOps engineers, and cross-functional stakeholders to deliver measurable process and automation outcomes.


* Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, engineering efficiency, and AI-assisted development practices using tools such as GitHub Copilot, Claude, or similar platforms.


* 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 operati...