Job Description
This role combines software engineering, cloud infrastructure, automation, and production operations. The Site Reliability Engineer will partner with software engineering, data engineering, and platform teams to improve service reliability, reduce operational toil, strengthen production readiness, and establish consistent reliability practices across the technology organization. The successful candidate will have experience operating production systems, automating infrastructure and operational processes, improving observability, and applying Site Reliability Engineering principles such as service-level indicators, service-level objectives, error budgets, and blameless postmortems.
Responsibilities Reliability Engineering
Design, implement, and operate scalable, resilient, and highly available systems on Google Cloud Platform.
Improve service availability, latency, performance, scalability, and operational resilience.
Define, implement, and track service-level indicators, service-level objectives, and error budgets.
Perform capacity planning, performance analysis, and workload forecasting.
Design and validate disaster recovery, backup, failover, and service-restoration capabilities.
Implement and maintain secure cloud networking, IAM, workload identities, service accounts, and access-control practices.
Partner with cybersecurity and identity teams to ensure infrastructure and services follow organizational security standards.
Monitor cloud consumption and optimize resource utilization, performance, and cost efficiency.
Identify operational risks and recommend improvements to cloud architecture and service design.
Automation and Platform Engineering
Build and maintain cloud infrastructure using Terraform or comparable infrastructure-as-code tools.
Automate repetitive operational activities and systematically identify, measure, and reduce manual toil.
Build reusable infrastructure modules, deployment patterns, and operational tooling.
Improve CI/CD pipelines to enable secure, repeatable, and reliable software delivery.
Observability and Incident Management
Develop actionable alerts that identify meaningful service degradation while reducing alert fatigue and unnecessary operational noise.
Create and maintain dashboards, runbooks, operational procedures, and troubleshooting documentation.
Participate in a sustainable on-call rotation supporting production systems.
Respond to production incidents, coordinate service restoration, and lead incident response when appropriate.
Facilitate blameless postmortems and identify corrective and preventive actions.
Use incident and operational data to improve system design, automation, monitoring, and response processes.
Collaboration and Service Ownership
Partner with software engineering, data engineering, security, and product teams to improve application reliability and production operations.
Promote shared responsibility for production reliability between application development and platform teams.
Establish and document reliability standards, operational practices, and reusable engineering patterns.
Provide technical guidance and coaching on SRE, cloud, Kubernetes, observability, and incident-management practices.
Required Knowledge, Skills, and Abilities
Three or more years of experience in Site Reliability Engineering, platform engineering, DevOps, cloud engineering, production software engineering, or a similar role. Experience operating highly available systems in a 24/7 production environment.
Hands-on experience operating workloads on Google Cloud Platform or another major public cloud platform.
Strong experience managing compute, networking and data Google Cloud Platform services workloads
Strong experience with containerization and orchestration technologies, including Docker and Kubernetes.
Experience building and managing infrastructure with Terraform or a comparable infrastructure-as-code tool.
Proficiency in Python, Go, Java, or another comparable programming language.
Experience implementing or operating CI/CD pipelines using GitHub Actions,Azure DevOps, Bitbucket Pipelines, or comparable tools.
Experience implementing observability using metrics, logs, traces, dashboards, and alerts.
Experience participating in on-call rotations, responding to incidents, and contributing to postmortems.
Understanding of SLIs, SLOs, error budgets, and other SRE principles.
Ability to troubleshoot complex issues across application, infrastructure, network, data, and cloud-service layers.
Ability to communicate effectively with engineering teams, business stakeholders, and operational personnel.
Minimum Qualifications
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
3+ years of experience in Site Reliability Engineering, platform engineering, cloud engineering, or DevOps.
3+ years of experience operating production workloads in Google Cloud Platform.
Ability to understand and communicate in English at a level sufficient to issue, receive, and respond to safety-related and operations-related instructions.
Preferred Qualifications
Google Cloud and/or Kubernetes certifications.
Experience supporting data-intensive, streaming, analytics, or event-driven platforms.
Experience establishing production-readiness, incident-management, or reliability-review processes.
Experience working in the energy, oil and gas, industrial, IoT, field operations, or other operationally critical industries.
Experience supporting technology environments that integrate cloud platforms with remote sites, field equipment, industrial systems, or edge computing.
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: dd95f46ecacc5512dd4b05070a358e7c
- Posted 30+ days ago
Never miss an opportunity! Create an alert based on the job you applied for.
