IT Product Specialist - AIOps Job at The Corporate in Los Angeles

Job Title: (Agile1) IT - Product Specialist, Expert
Location: Remote within the U.S.

Job Description

Required Qualifications

·& & & & & & 5–7 years of experience in an Enterprise NOC or IT Operations environment.

·& & & & & & 5–7 years of hands-on experience with enterprise monitoring tools (e.g., Broadcom DxNetOps, Micro Focus, IBM Tivoli).

·& & & & & & Strong experience across the SDLC with a focus on automation, testing, and deployment.

·& & & & & & Hands-on experience with Observability, AIOps, and Operational Intelligence platforms.

·& & & & & & Proficiency in RESTful API integration and data transformation using JSON and XML.

·& & & & & & Experience with scripting languages such as Bash, Python, or PERL.

·& & & & & & Solid understanding of networking and server infrastructure (Windows, Linux, Unix, AIX).

·& & & & & & Practical experience with container orchestration platforms (Kubernetes) and Docker or other container runtimes.

·& & & & & & Strong documentation skills and attention to detail.

·& & & & & & Ability to work independently and collaboratively in a fast-paced, dynamic environment.

·& & & & & & Broad technical background across infrastructure, monitoring, automation, and cloud-native technologies.

Preferred

·& & & & & & Experience with observability tools such as:

·& & & & & & Broadcom Operations Insight

·& & & & & & Grafana

·& & & & & & Exposure to CI/CD pipelines and DevOps practices.

·& & & & & & Experience with infrastructure upgrades, DR testing, and certificate management

Key Responsibilities

Project Integration Work

·& & & & & & Lead integration of monitoring and event management tools into an enterprise Observability and AIOps platform.

·& & & & & & Build and optimize monitoring instrumentation to proactively detect and resolve issues across diverse infrastructure layers.

·& & & & & & Develop dashboards, reports, and alerting mechanisms tailored to operational and business needs.

·& & & & & & Perform hands-on development and scripting to support automation, integration, and data transformation.

·& & & & & & Participate in all phases of the SDLC: requirements analysis, design, development, testing, deployment, and maintenance.

·& & & & & & Collaborate with cross-functional teams including operations, application support, database, VMware, and enterprise NOC.

·& & & & & & Ensure scalability and reliability of monitoring solutions across hybrid environments (on-prem, cloud, containers).

Tier 2 Operational Support

·& & & & & & Perform Operational Intelligence (OI) application upgrades in DEV environments to validate fixes and enhancements.

·& & & & & & Drive promotion of validated upgrades to TEST and PROD environments.

·& & & & & & Support container upgrades and lifecycle management in Kubernetes/Docker or other container runtimes.

·& & & & & & Manage and update SSL/TLS certificates across monitoring platforms.

·& & & & & & Conduct Disaster Recovery (DR) testing, validate failover scenarios, and document outcomes.

·& & & & & & Perform device discovery, onboarding, and decommissioning within monitoring platforms.

·& & & & & & Administer Linux (RHEL) systems and support containerized environments.

·& & & & & & Troubleshoot and resolve complex issues across infrastructure, applications, and monitoring layers.

Position Summary

·& & & & & & We are seeking a highly skilled and hands-on IT Product Specialist to support the rollout, integration, and Tier 2 operational support of ENMS tools. This role demands deep technical expertise, broad infrastructure knowledge, and strong collaboration skills.

·& & & & & & The ideal candidate will have full lifecycle experience across the Software Development Lifecycle (SDLC) and be instrumental in both project delivery and ongoing support, including upgrades, testing, and production readiness.

·& & & & & & This position requires a strong technical foundation across infrastructure, monitoring, and automation domains, with practical experience in Operational Intelligence (OI), AIOps, Observability platforms, and containerized environments such as Kubernetes and Docker.