DevOps Engineer Lead NEX

Houston, TX, US • Posted 18 hours ago • Updated 6 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Productivity
  • ProVision
  • IaaS
  • Workflow
  • Apache Velocity
  • Collaboration
  • Management
  • Reliability Engineering
  • Incident Management
  • DevOps
  • Continuous Delivery
  • GitHub
  • GitLab
  • Continuous Integration
  • Jenkins
  • Terraform
  • Docker
  • Orchestration
  • Scripting
  • Python
  • Bash
  • Linux
  • Cloud Architecture
  • Cloud Storage
  • Data Flow
  • Computer Networking
  • Kubernetes
  • Google Cloud Platform
  • Google Cloud
  • Information Technology
  • Computer Science
  • Regulatory Compliance
  • Cloud Computing
  • Data Engineering
  • English
  • Law
  • Reporting

Summary

Job Description

We are seeking a DevOps Engineer to help streamline our development and deployment processes on Google Cloud Platform (Google Cloud Platform). This role focuses on building and maintaining the tooling, pipelines, and infrastructure that enable fast, reliable, and secure software delivery.

You'll work closely with engineering teams to improve developer productivity, automate infrastructure, and ensure consistent, repeatable deployments across environments.

Detailed Description:
  • Design, build, and maintain CI/CD pipelines for application and infrastructure delivery
  • Provision and manage cloud infrastructure on Google Cloud Platform using Infrastructure as Code (IaC) tools such as Terraform
  • Automate build, test, and deployment workflows to improve release velocity
  • Collaborate with developers to standardize development environments and deployment patterns
  • Manage containerized workloads using Docker and Kubernetes (GKE)
  • Implement and maintain monitoring, logging, and alerting solutions
  • Improve system reliability and deployment safety through automation and tooling
  • Support incident response and troubleshoot issues across development, staging, and production environments
  • Enforce security best practices within pipelines and infrastructure
  • Optimize cloud usage for performance and cost efficiency

Required Qualifications:
  • 3+ years of experience in DevOps, platform engineering, or related roles
  • Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins)
  • Experience with Infrastructure as Code tools (Terraform preferred)
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Proficiency in at least one scripting or programming language (e.g., Python, Bash, Go)
  • Solid understanding of Linux systems, networking, and cloud architecture
  • Experience with monitoring and logging tools
  • Hands-on experience with Google Cloud Platform, including:
  • Google Cloud Platform: 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
  • Observability: Google Cloud Platform Cloud Monitoring, Logging

Minimum Qualifications:
  • Bachelor's degree in Business, Information Technology, Computer Science, or a related field.
  • Knowledge of security and compliance practices in cloud environments
  • 5+ years experience in Data Engineering, DataOps, or Data Platform Operations
  • 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

About Us

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80184230
  • Position Id: 4ee22b4be505428918c3462fba5ef4bf
  • Posted 18 hours ago
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