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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior/Lead GCP Platform Engineer - **Company:** Capgemini - **Location:** Irving, TX, United States - **Experience:** Expert - **Salary:** $105,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** Audit Trail, BigQuery, Cloud Computing, Cloud Storage, Profiling, Continuous Integration, DevOps, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Reliability Engineering, Site Reliability Engineering Practices, Cloud Services, Prometheus, Datadog, Data Logging, Google Cloud, Cloud Platform System, Cloud Monitoring, System Availability, Grafana, Reliability of Systems, Amazon Virtual Private Cloud (VPC), Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Google Cloud Functions, Data Management, Terraform, Splunk, Artificial Intelligence Markup Language (AIML), Dynatrace - **Published:** August 7, 2026 - **Apply:** https://www.juju.com/job/00000000gm0dsb ## About the Role + Google Cloud Platform Strong hands-on experience with Google Cloud Monitoring and Google Cloud Logging + Managed Service for Prometheus, Cloud Trace, Cloud Profiler and Cloud Audit Logs + Experience with Pub/Sub, Cloud Storage, BigQuery, Cloud Functions, Cloud Run, GKE (Google Kubernetes Engine). + Experience with IAM, Shared VPC, Organization level monitoring configurations, Observability Platforms. + DevOps Automation, Terraform, Git/GitHub, CICD pipelines, Kubernetes + Experience with one or more Datadog, Splunk, Dynatrace, Grafana, Prometheus, OpenTelemetry. Required Experience + 5 years of cloud platform engineering experience + 3 years of hands-on Google Cloud Platform experience + 3 years of Python development and automation experience + Experience implementing centralized observability solutions across multiple cloud accounts projects + Experience with enterprise monitoring logging alerting and operational analytics + Experience supporting Kubernetes based platforms Preferred Qualifications + Experience designing organization wide observability frameworks + Experience implementing OpenTelemetry standards + Knowledge of Site Reliability Engineering SRE practices + Experience with FinOps and cloud cost optimization + Experience supporting data platforms and AIML workloads + Google Cloud Professional Cloud Architect certification + Google Cloud Professional DevOps Engineer certification ## Description GCP Platform Engineering + Design build and maintain enterprise scale cloud platform services on Google Cloud Platform + Develop reusable platform capabilities standards and automation frameworks + Implement Infrastructure as Code IaC using Terraform + Support cloud governance IAM networking security and compliance requirements + Drive platform reliability scalability and operational excellence Observability Monitoring + Design and implement centralized observability architecture across multiple GCP projects and environments + Build enterprise monitoring logging tracing and alerting solutions using GCP native and third-party observability tools + Centralize logs metrics traces dashboards and alerts across development test and production environments + Define observability standards SLISLOs alerting strategies and operational runbooks + Create executive operational and application health dashboards + Establish monitoring coverage for cloud infrastructure + Develop solutions for automated alert management reporting and operational analytics Platform Reliability Operations + Partner with development and operations teams to improve system reliability + Conduct root cause analysis and incident investigations + Optimize monitoring coverage while reducing alert fatigue ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [We adopted DevOps and are Cloud-native, Now What?](https://www.wearedevelopers.com/videos/485-we-adopted-devops-and-are-cloud-native-now-what) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Got AI ideas but no money? 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