Site Reliability Engineer (SRE) - Python, GCP

• Design, implement, and maintain scalable and highly reliable cloud infrastructure using Google Cloud Platform (GCP) services such as Compute Engine, Kubernetes Engine, Cloud Functions, and BigQuery.
• Write Python scripts to automate operations, deployment processes, and enhance system performance.
• Collaborate with engineering teams to improve system architecture, application deployment, and continuous integration/continuous deployment (CI/CD) pipelines.
• Develop and maintain system observability frameworks including logs, metrics, and tracing to ensure visibility into system health and performance.
• Implement and manage monitoring and ing systems using tools like Prometheus, Grafana, or Stackdriver to ensure system reliability and uptime.
• Participate in on-call rotations to address production incidents and drive incident management and root cause analysis.
• Work on improving system performance, cost management, and security using GCP-native tools.
• Define and track SLOs (Service Level Objectives) and SLIs (Service Level Indicators) to ensure that systems meet reliability targets.
• Automate and streamline processes for system provisioning, configuration, and deployment.
• Conduct post-incident reviews to identify areas for improvement and prevent recurrence of issues.
• 4+ years of experience in Site Reliability Engineering (SRE), DevOps, or similar roles.
• Strong experience with Python programming, including automation, scripting, and system management tools.
• Hands-on experience with Google Cloud Platform (GCP) services, such as Compute Engine, Kubernetes Engine, Cloud Functions, and BigQuery.
• Strong understanding of containerization and orchestration tools, particularly Docker and Kubernetes.
• Proficiency in monitoring and ing tools, such as Prometheus, Grafana, Stackdriver, or similar.
• Experience working with CI/CD tools and practices (e.g., GitLab, Jenkins).
• Solid understanding of system performance optimization, security, and cost management practices on GCP.
• Strong knowledge of networking concepts, high-availability architectures, and system troubleshooting techniques.
• Experience with infrastructure automation and configuration management tools (e.g., Terraform, Ansible).
• Experience in production environment management, incident resolution, and on-call support.
• Good understanding of software development practices and collaboration with development teams to improve reliability.

Sre,Python,Gcp