[Hiring] AI-Enabled Manager @V2X

Role Description

The AI-Enabled Manager, Monitoring & Workload Health is a technical leadership role responsible for the continuous observability, performance, and resilience of the enterprise IT ecosystem. Reporting to the Director of Adaptive Infrastructure Network & Security, this leader will drive the transition from reactive infrastructure monitoring to proactive, self-healing operations.

Key Responsibilities:

• AIOps Strategy & Advanced Monitoring:
  • Design, deploy, and manage enterprise monitoring solutions, specifically focusing on optimizing SolarWinds Orion and Microsoft SCOM across a hybrid IT environment.
  • Integrate network telemetry, system logs, and application performance data into a centralized AIOps platform to support intelligent operations and anomaly detection.
  • Define and enforce monitoring baselines, thresholds, and intelligent alerting rules that prioritize business-critical SaaS applications and AI workloads.
  • Develop observability strategies that provide end-to-end visibility into complex infrastructure paths, including Zero Trust network segments and multi-cloud environments.
• Predictive Failure & Agentic Remediation:
  • Implement agentic AI workflows to identify degradation patterns and execute predictive failure analysis before system outages occur.
  • Build and maintain automated remediation runbooks utilizing tools like Ansible, Terraform, and Python to allow AI agents to execute self-healing actions on infrastructure and network devices.
  • Establish strict governance and human-in-the-loop oversight thresholds for agent-driven automated remediations, ensuring safe and compliant execution within the production environment.
  • Lead post-incident reviews (RCA) leveraging AI-generated timelines and telemetry data to continuously tune predictive algorithms and prevent recurring issues.
• Workload Health & Performance Optimization:
  • Monitor AI model inference traffic, LLM API calls, and agent-to-agent communication, ensuring the underlying infrastructure meets required Quality of Service (QoS) and latency SLAs.
  • Collaborate with infrastructure engineering and cloud teams to right-size compute workloads based on automated capacity planning and performance trend analysis.
  • Develop and deliver performance-based KPIs to IT leadership, highlighting system uptime, mean time to remediate (MTTR), and the effectiveness of automated resolution rates.
• Team Leadership & Continuous Improvement:
  • Manage the day-to-day tasking, performance, and effectiveness of a team of monitoring engineers and AIOps developers.
  • Foster a culture of automation-first thinking, guiding the team to codify operational policies and build "Compliance-as-Code" and "Self-healing" network capabilities.
  • Manage enterprise vendor and supplier agreements related to monitoring platforms, ensuring technical debt is minimized and platforms are optimized for value.

Qualifications

• Education: Bachelor’s degree in Information Technology, Computer Science, Systems Engineering, or a related field; OR an equivalent combination of education and experience from which comparable knowledge and job skills can be obtained.
• Experience: 5-10 years of experience designing and operating complex enterprise monitoring, infrastructure, or reliability engineering solutions.
• Leadership: Proven experience as a manager or team leader overseeing technical personnel and large-scale automation projects.
• Other Requirements: U.S. Citizenship.

Requirements

• Deep technical expertise in administering and scaling Microsoft SCOM and SolarWinds Orion in enterprise environments.
• Strong proficiency in network automation, Infrastructure-as-Code (IaC), and scripting languages (PowerShell, Python, YAML, JSON) to drive automated remediation workflows.
• Experience integrating AIOps tools and agentic AI models with ITSM platforms (e.g., ServiceNow) for closed-loop incident resolution.
• Understanding of modern cloud architectures (Azure, AWS), virtualization (VMware, Hyper-V), and Zero Trust networking principles.
• Exceptional collaboration skills to partner with service desk, security, and application teams to build a cohesive, automated operational fabric.

Benefits

• Healthcare coverage
• Retirement plan
• Life insurance, AD&D, and disability benefits
• Wellness programs
• Paid time off, including holidays
• Learning and Development resources
• Employee assistance resources