Senior Site Reliability Engineer NEX

Patterson-UTIHouston, TX

About The Position

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.

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.
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