DevOps Engineer; AIOps

Overview

Job Summary:

The AIOps Engineer is a technical operational engineering role responsible for improving Dev Ops, 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, Dev Ops, 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

Essential Functions:

• Design, develop, and maintain intelligent operational solutions, automation workflows, scripts, integrations, and orchestration capabilities across Dev Ops, 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, Dev Ops, 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 visibility, environment coordination, and operational readiness activities across enterprise platforms.
• Contribute to operational standards, implementation best practices, governance alignment, and modernization initiatives.
• Assist with operational data analysis, trend identification, operational metrics, engineering productivity insights, and reporting initiatives.
• Collaborate with cross‑functional teams to implement scalable operational processes aligned with enterprise technology and security standards.
• Provide technical recommendations related to automation, reliability, scalability, observability, and operational optimization opportunities.
• Support continuous improvement initiatives focused on operational maturity, engineering efficiency, support effectiveness, and platform stability.

Supervisory or Management Responsibility:

• Provide technical collaboration and operational support across Dev Ops, Engineering, Production Support, Release Management, and operational teams.
• Share operational knowledge, automation practices, and implementation guidance with engineering and operational teams.
• Assist leadership and engineering teams with operational insights, technical recommendations, and operational improvement opportunities.

Bud…