Lead Support Engineer at WPP Media | CA, US | Rezi

Lead Support Engineer at WPP Media

Lead Support Engineer

WPP Media · CA, US

Today

Lead Support Engineer

WPP Media · CA, US

18 hours ago
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About the Role

As Lead Support Engineer within WPP Media, you will own production stability, observability, and system health for a mission-critical global campaign governance and compliance platform running on Google Cloud Platform (GCP). This role involves advanced L2+ and L3 support, investigating complex issues, implementing Python fixes, leading root cause analysis, and improving system reliability. You will collaborate with engineering leads, product owners, and QA partners, connecting production insights with technical roadmap priorities. The role combines Site Reliability Engineering (SRE) with technical squad leadership, focusing on evaluating and strengthening monitoring and alerting, automating runbooks, and reducing manual operational effort.

Responsibilities

  • Own production stability, system health, and observability for a mission-critical campaign governance and compliance platform running on GCP.
  • Diagnose and resolve complex, intermittent, and high-priority incidents across application, database, infrastructure, and networking layers.
  • Read, debug, and implement minor fixes and patches directly within the existing Python production codebase.
  • Define and advance the observability strategy using GCP Cloud Logging, Cloud Monitoring, Error Reporting, Prometheus, PromQL, and suitable service level indicators and objectives.
  • Lead incident response, post-incident reviews, and end-to-end root cause analysis, partnering with the EMEA Engineering team on permanent remediation.
  • Monitor execution flows, performance, data refreshes, automated checks, and recurring compliance reporting to ensure reliable system operation.
  • Identify opportunities to automate manual support activity, develop and maintain runbooks, and reduce operational toil.
  • Provide technical leadership to the L2+ support squad through coaching, knowledge sharing, prioritization, and effective handovers.
  • Partner with Product, Engineering, and Quality Assurance teams to assess operational risk, improve release and change management, and influence technical roadmap decisions.

Requirements

  • Advanced education in computer science, software engineering, information technology, or a related technical discipline, or equivalent practical experience.
  • Strong, current Python proficiency, including the ability to read, debug, and implement fixes directly within a shared production codebase.
  • Deep, hands-on experience supporting enterprise systems on Google Cloud Platform, including Compute Engine, Google Kubernetes Engine, Cloud SQL, BigQuery, Pub/Sub, Firestore, Cloud Functions, Identity and Access Management, and virtual private cloud networking.
  • Complex production troubleshooting and root cause analysis experience across distributed systems, including leadership of post-incident reviews.
  • Strong experience with Docker and Kubernetes, particularly deploying, managing, and troubleshooting applications running in Google Kubernetes Engine.
  • High proficiency with GCP Cloud Logging, Cloud Monitoring, Error Reporting, Prometheus, and PromQL, including establishing service level indicators and service level objectives.
  • Experience using Terraform for infrastructure as code, tracing infrastructure-level issues, and identifying improvements to infrastructure management.
  • Strong Python and Bash scripting skills for automating support tasks, parsing logs, developing operational tools, and reducing manual effort.
  • Solid querying and troubleshooting experience across Firestore, BigQuery, PostgreSQL, and MySQL.
  • Experience leading, mentoring, or serving as a technical lead for a squad or technical team, along with strong knowledge of Incident, Problem, and Change Management practices and the software development lifecycle.

Skills

  • Python
  • Google Cloud Platform (GCP)
  • Compute Engine
  • Google Kubernetes Engine (GKE)
  • Cloud SQL
  • BigQuery
  • Pub/Sub
  • Firestore
  • Cloud Functions
  • Identity and Access Management (IAM)
  • Virtual Private Cloud (VPC) networking
  • Docker
  • Kubernetes
  • GCP Cloud Logging
  • GCP Cloud Monitoring
  • GCP Error Reporting
  • Prometheus
  • PromQL
  • Terraform
  • Bash scripting
  • PostgreSQL
  • MySQL
  • Incident Management
  • Problem Management
  • Change Management
  • Software Development Lifecycle (SDLC)

Location

  • Global

Work Type

  • Hybrid

Experience Level

  • Lead
  • Advanced

Education Level

  • Advanced education in computer science, software engineering, information technology, or a related technical discipline, or equivalent practical experience.

Salary/Compensations

  • $75,000—$180,000 USD

Benefits

  • Competitive medical insurance
  • Group retirement plans
  • Vision insurance
  • Dental insurance
  • Significant paid time off
  • Preferential partner discounts
  • Employee mental health awareness days

About the Company

  • WPP is the trusted growth partner for the world’s leading brands, helping clients navigate change, capture opportunity, and deliver transformational growth through exceptional talent, trusted data and intelligence, and world-class partnerships, all united by the pioneering agentic marketing platform, WPP Open.
  • WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalization at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

Equal Opportunity

  • WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics.
  • WPP Media is committed to providing equal employment opportunities to all qualified applicants and employees. Employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local law.