Senior Site Reliability Engineer NEX

Patterson-UTI•Houston, TX

10d•Onsite

About The Position

The Senior Site Reliability Engineer will be responsible for designing, implementing, and operating scalable, resilient, and highly available systems on Google Cloud Platform. This role focuses on improving service availability, latency, performance, and operational resilience. The engineer will define and track service-level indicators and objectives, perform capacity planning, and design disaster recovery capabilities. Responsibilities also include implementing secure cloud networking and IAM practices, partnering with cybersecurity teams, and optimizing cloud consumption for cost efficiency. Additionally, the role involves building and maintaining cloud infrastructure using infrastructure-as-code tools, automating operational tasks, and improving CI/CD pipelines. The engineer will develop actionable alerts, create dashboards and runbooks, participate in on-call rotations, respond to production incidents, and facilitate blameless postmortems. Collaboration with software engineering, data engineering, security, and product teams is crucial to promote shared responsibility for production reliability and establish reliability standards. The role also involves providing technical guidance on SRE, cloud, Kubernetes, observability, and incident management practices.

Requirements

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 GCP 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.
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 GCP.
Ability to understand and communicate in English at a level sufficient to issue, receive, and respond to safety-related and operations-related instructions.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.