Seeking a Systems Manager - Lead Platform Tooling, Enterprise Data & Analytics, is a hands-on technical leader responsible for the strategy, maintenance, and observability of the platform toolchain for the ED&A Data and AI platform team. This role manages a group that ensures the reliable operation of platform services, with a primary focus on the Google Cloud Platform (Google Cloud Platform).
Duration: Direct / Salary / FTE
Location: Hybrid (Onsite 3 Days a week)
Authorization: W2 Candidates - No Sponsorship
Core Responsibilities
- Lead the platform tooling strategy, administration, and ongoing maintenance for the ED&A Data and AI platform team.
- Design, implement, and manage comprehensive monitoring and observability solutions across all Google Cloud Platform platform services.
- Develop and deliver consistent reporting on platform health, capacity, and usage metrics to stakeholders and leadership.
- Establish and oversee the triaging process for platform issues, ensuring rapid identification and accurate routing to the right owners for resolution.
- Enable, support, and maintain the platform''s Model and Agent Garden ecosystem to support scalable ML and AI deployments.
- Lead and develop the Platform Tooling team, setting priorities, managing day-to-day execution, and fostering a culture of continuous improvement.
- Partner with data engineering, platform operations, and enterprise governance teams to align tooling capabilities with platform requirements and business use cases.
- Define and report on operational metrics, SLAs, and KPIs for platform tooling and observability.
Relevant Work Experience and Qualifications
- Platform Leadership (Required): Demonstrated experience in platform engineering, tooling administration, or cloud operations, including time spent leading technical teams.
- Observability (Required): Deep expertise with observability, monitoring stacks, and reporting/analytics tooling (especially within Google Cloud environments).
- Incident Management (Required): Proven ability to manage incident triaging, routing, and operational troubleshooting across complex data platforms.
- Operational SLA Management (Required): Experience defining and managing operational metrics, SLAs, or KPIs for technical environments.
- AI/ML Platforms (Preferred): Familiarity with deploying, maintaining, or supporting ML model platforms, agent ecosystems, or AI tooling.
- Industry Experience (Preferred): Background in utilities, energy, or other regulated industries with exposure to compliance and data sensitivity requirements.
- Cloud Architecture (Preferred): Hands-on experience with modern cloud data platforms (such as Google Cloud Platform, Azure, AWS, and/or Databricks) and the integration tooling that supports them
EDUCATION:
- Master''s Degree in Computer Science, Engineering, Math, Business, or a technology-centric field with a minimum of 6 years of relevant full-time work experience
- OR
- Bachelor''s Degree in Computer Science, Engineering, Math, Business, or a technology-centric field with a minimum of 8 years of relevant full-time work experience.
Vertex Solutions Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation or any other basis prohibited by applicable law.
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