DevOps Engineer NEX

Patterson-UTI • Houston, TX

5d

About The Position

We are seeking a DevOps Engineer to help streamline our development and deployment processes on Google Cloud Platform (GCP). 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.

Requirements

• 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: 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
• Observability : GCP Cloud Monitoring, Logging
• 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

Nice To Haves

• Oil and Gas Industry knowledge
• Technology/Digital Industry knowledge

Responsibilities

• Design, build, and maintain CI/CD pipelines for application and infrastructure delivery
• Provision and manage cloud infrastructure on GCP 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level