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Patterson-UTI

engineering opportunity

Site Reliability Engineer Lead

Lead SRE practices for GCP-based data platforms and design SLIs, SLOs, and reliability metrics. Partner with data engineering and platform teams to design reliable architectures and automate operational workflows.

Houston, Texas, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Patterson-UTI?

Brief

Description

We are seeking an Site Reliability Engineer Lead to own and evolve the reliability, scalability, and operational excellence of cloud-native data platforms running primarily on Google Cloud Platform (GCP). This role supports data systems that ingest, process, and serve large volumes of operational data from oilfield and energy environments.

The ideal candidate is a cloud-first SRE with deep GCP experience, strong Python engineering skills, and a track record of leading reliability initiatives for data-intensive systems. Detailed

Description

Lead SRE practices for GCP-based data platforms Design and own SLIs, SLOs, error budgets, and reliability metrics Build and maintain cloud-native observability (monitoring, logging, alerting) Lead incident response for production cloud systems and drive postmortems Partner with data engineering and platform teams to design reliable architectures Automate operational workflows using Python Drive improvements in CI/CD, infrastructure as code, and deployment safety Mentor engineers and set SRE best practices across the team Required Knowledge, Skills, and Abilities: 7+ years in SRE, Cloud Platform Engineering, or DevOps Strong hands-on experience with Google Cloud Platform, including: GCP: GKE, Compute Engine, Cloud Storage, Pub/Sub (or equivalents) Cloud Monitoring & Logging BigQuery Dataflow Datastream IAM and networking Composer/AIrflow Kubernetes: deployment, scaling, reliability patterns CI/CD: GitHub Actions, GitLab CI, or similar Observability: GCP Cloud Monitoring, Logging Experience supporting cloud-native data systems (batch and streaming) Production experience with Python for automation, tooling, or services Infrastructure as Code experience (Terraform strongly preferred) Experience operating systems in 24/7 production environments

Minimum Qualifications

  • Bachelor’s degree in Business, Information Technology, Computer Science, or a related field. 5+ years experience in Site Reliability Engineering, Cloud Platform Engineering, or DevOps 3+ years operating production workloads on Google Cloud Platform (GCP) Prior technical leadership experience (lead engineer, tech lead, or ownership of reliability initiatives) Ability to understand and speak English at a level of proficiency allowing employee to issue, receive and respond to both safety and operations-related directions in English

Preferred Qualifications

  • Oil and Gas Industry knowledge Technology/Digital Industry knowledge #LI-DA1 The Evolving Oil Field Demands Evolving Service Providers NexTier is a leading provider of integrated completions that employs sustainable practices and equipment to support our customers’ ESG goals while accelerating production in the most demanding US land basins.
  • Patterson-UTI is committed to a workplace free from discrimination and harassment, offering equal employment opportunities to all individuals regardless of personal characteristics protected by law.
  • Employees are encouraged to report any concerns through multiple channels.

Which skills does this role require?

PythonCloud MonitoringKubernetesCI/CDObservabilityInfrastructure as CodeData EngineeringIncident ResponseAutomationReliability MetricsCloud StorageBigQueryDataflowIAMTerraformAirflow

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