Cloud Operations Lead Monitoring & AI Ops Engineer

Role Overview:

The Cloud Operations Lead Monitoring AI Ops Engineer at Skyhigh Security will be responsible for leading the strategy, implementation, and management of global network monitoring tools and AI Ops solutions. This role involves ensuring the reliability, performance, and security of our cloud infrastructure through proactive monitoring, automation, and advanced analytics. The successful candidate will collaborate with engineering, operations, and security teams to enhance observability and incident response capabilities. This position is part of a fast-growing Global Tech Ops team, playing a key role in scaling and optimizing our cloud operations.

Key Responsibilities:

• Serve as the technical lead for global monitoring and AI Ops initiatives across the Skyhigh Security product portfolio.
• Develop and implement strategies for proactive monitoring, anomaly detection, and automated incident resolution.
• Oversee the deployment and management of monitoring/logging tools such as Prometheus, Grafana, OpenSearch, PagerDuty AI Ops, and Kentik.
• Ensure comprehensive observability of cloud environments, network performance, and security metrics.
• Collaborate with engineering teams to integrate monitoring principles into the software development lifecycle (SDLC), making observability an integral part of deployments rather than a post-deployment task.
• Define and implement best practices for monitoring high-scale cloud environments across AWS, Azure, and OCI.
• Utilize AI Ops tools to enhance event correlation, root cause analysis, and automated remediation.
• Analyze monitoring data to identify trends, optimize system performance, and improve alerting mechanisms.
• Provide guidance on incident response processes and drive continuous improvement in monitoring effectiveness.
• Maintain documentation for monitoring frameworks, configurations, and operational procedures.
• Stay updated with industry trends, emerging AI Ops technologies, and best practices in cloud monitoring.

Qualifications:

• Bachelors degree in Computer Science, Information Technology, or a related field.
• 7+ years of experience in cloud operations with a strong focus on global monitoring and AI Ops tools.
• Expertise in cloud platforms (AWS, Azure, OCI) and their monitoring services.
• Deep understanding and hands-on experience with Jira Cloud, Confluence, and Atlassian Service Management.
• Strong knowledge of monitoring and observability platforms, including Prometheus, Grafana, OpenSearch, PagerDuty AI Ops, and Kentik.
• Experience designing and implementing AI-driven monitoring solutions for large-scale environments.
• Proficiency in automation and scripting (e.g., Python, Go, Bash) to enhance monitoring capabilities.
• Strong analytical and problem-solving skills with the ability to interpret complex monitoring data.
• Excellent leadership, collaboration, and communication skills.
• Ability to work in a fast-paced, dynamic environment.

Preferred Qualifications:

• Relevant certifications (e.g., AWS Certified Solutions Architect, Azure Administrator).
• Experience with ITIL processes and best practices in incident and problem management.
• Knowledge of cloud security monitoring and threat detection methodologies.
• Experience in designing and modernizing monitoring tools for cloud-native and hybrid environments.
• Understanding of network performance monitoring and optimization strategies.