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Site Reliability Engineer - Google Cloud Platform

Site Reliability Engineer - Google Cloud Platform

TecholutionIndia
5 days ago
Job description

Role : Google Cloud SRE Engineer

We are seeking an exceptional Google Cloud SRE Engineer to join our engineering team.

This role requires a highly skilled professional with deep expertise in Google Cloud Platform (GCP), Kubernetes, Infrastructure as Code, and CI / CD automation.

The ideal candidate thrives in high-pressure production environments, excels at automation, and continuously drives improvements in system reliability, scalability, and operational efficiency.

Title : Google Cloud SRE Engineer.

Location : Remote Work.

Employment Type : Full Time.

No of Openings : 2.

Timings : 24-7 (rotational Shifts).

Key Responsibilities :

  • Ensure the reliability, availability, and performance of production systems hosted on GCP.
  • Lead incident response and troubleshooting efforts for critical production issues.
  • Perform root cause analysis and implement long-term fixes to prevent recurrence.
  • Champion monitoring, alerting, and observability practices to enhance system resilience.

Programming & Automation

  • Develop and maintain automation tools, scripts, and services using Python, Go, and Bash.
  • Identify repetitive operational tasks and convert them into automated workflows.
  • Build scalable, robust solutions to reduce operational toil and improve reliability.
  • Google Cloud Platform (GCP)

  • Architect, deploy, and optimize production-grade workloads on GCP.
  • Ensure adherence to GCP best practices, cost optimization strategies, and security compliance.
  • Continuously evaluate and adopt emerging GCP services to enhance cloud operations.
  • Kubernetes (GKE)

  • Manage and optimize large-scale GKE clusters.
  • Implement deployment strategies, resource management, and cluster security.
  • Troubleshoot complex issues in containerized workloads and cluster environments.
  • CI / CD & Infrastructure as Code

  • Design, implement, and maintain CI / CD pipelines using Jenkins, GitLab CI, or GitHub Actions.
  • Define and manage cloud infrastructure using Terraform, including reusable and modular configurations.
  • Collaborate with developers to ensure seamless integration and automated testing.
  • Required Skills & Experience :

  • Programming / Scripting : Expert in Python, Go, and Bash with proven automation portfolio.
  • GCP : 2+ years of hands-on GCP experience with deep understanding of its services and architecture.
  • Kubernetes (GKE) : Advanced experience in managing production clusters, deployments, and troubleshooting.
  • CI / CD : Strong expertise with Jenkins, GitLab CI, or GitHub Actions; proven history of building enterprise-grade pipelines.
  • Terraform : Proficiency in Infrastructure as Code with Terraform, including reusable and modular configurations.
  • Incident Response : Demonstrated excellence in handling critical production incidents and performing RCA.
  • Automation-First Mindset : Consistent track record of converting manual tasks into automated workflows.
  • AI Integration : Awareness and experience in applying AI / ML tools in DevOps practices is a strong plus.
  • Preferred Qualifications

  • GCP Professional Cloud DevOps Engineer or Architect certification.
  • Experience with monitoring / observability tools (Prometheus, Grafana, ELK, Stackdriver).
  • Exposure to service mesh technologies (Istio, Linkerd).
  • Familiarity with security practices such as IAM, workload identity, and secrets management.
  • (ref : hirist.tech)

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