Site Reliability Engineer with GCP

MSRcosmos LLC; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

MSRcosmos LLC is seeking a Site Reliability Engineer with strong GCP and Kubernetes expertise to ensure reliability, performance, and scalability of both on-premise and cloud-based systems. The role emphasizes reducing Google Cloud costs while maintaining uptime and efficiency.

You will design and implement cloud infrastructure, automate tasks with Terraform and Ansible, monitor services with Prometheus/Grafana, and collaborate with development and operations teams to plan capacity and respond

Qualifications

• Experience with Google Cloud Platform (GCP) and Kubernetes.
• Experience with automation and configuration management tools.
• Proficiency in monitoring and incident response.
• Ability to collaborate across teams and document procedures.

Responsibilities

• Ensure reliability and uptime of critical services.
• Design, implement, and manage cloud infrastructure on GCP.
• Develop automation scripts to improve efficiency.
• Monitor and respond to incidents to minimize downtime.
• Collaborate with development and operations teams to improve reliability and performance.
• Perform capacity planning and performance tuning to handle growth.
• Create and maintain documentation for configurations, processes, and procedures.

Skills

GCP fundamentals

System reliability

Monitoring concepts

Cost optimization

Tools

Kubernetes

Terraform

Ansible

Puppet

Jenkins

GitLab CI

Networking basics

Job description

Job Description

• We are looking for a talented Site Reliability Engineer (SRE) with a strong background in Google Cloud Platform (GCP) and kubernetes. The ideal candidate will be responsible for ensuring the reliability, performance, and scalability of our on-premise and cloud-based systems along with focus on reducing costs for Google Cloud.
• System Reliability: Ensure the reliability and uptime of critical services and infrastructure.
• Google Cloud Expertise: Design, implement, and manage cloud infrastructure using Google Cloud services.
• Automation: Develop and maintain automation scripts and tools to improve system efficiency and reduce manual intervention.
• Monitoring and Incident Response: Implement monitoring solutions and respond to incidents to minimize downtime and ensure quick recovery.
• Collaboration: Work closely with development and operations teams to improve system reliability and performance.
• Capacity Planning: Conduct capacity planning and performance tuning to ensure systems can handle future growth.
• Documentation: Create and maintain comprehensive documentation for system configurations, processes, and procedures.

Skills

• Experience with database technologies (SQL & no-SQL - AlloyDB (PostgreSQL), DataBricks, Firestore, BigQuery, etc.).
• Familiarity with Google BI and AI/ML tools (Looker, BigQuery ML, Vertex AI, etc.).
• Experience with automation tools (Terraform, Ansible, Puppet).
• Familiarity with CI/CD pipelines and tools (Azure pipelines Jenkins, GitLab CI, etc.).
• Knowledge of networking concepts and protocols. (Service mesh experience a plus).
• Experience with monitoring tools (Prometheus, Grafana, etc.).

Preferred Certifications

• Google Cloud Professional DevOps Engineer
• Google Cloud Professional Cloud Architect