Site Reliability Engineer I (Full Time)

About the Role

As an entry-level Site Reliability Engineer, you will play an active role in maintaining platform health and learning modern cloud operations alongside experienced mentors.

Key Responsibilities

• Monitor infrastructure and application telemetry across multi-tenant cloud environments to help maintain platform health and uptime.
• Assist with incident triage and response workflows alongside senior engineers to resolve service-impacting events promptly.
• Execute and suggest improvements to automated operational runbooks and standard procedures to reduce repetitive troubleshooting steps.
• Contribute to Post-Incident Reviews (PIRs) by documenting event timelines and helping identify permanent preventive solutions.
• Collaborate with Site Reliability Engineering and Product teams to enhance observability dashboards, alert hygiene, and system health signals.
• Participate in a structured operational on-call rotation with team mentorship to support global cloud platform reliability.

Requirements & Tech Stack

Minimum Qualifications

• A Bachelor's degree (completed within the past 3 years or expected to be completed within the next 12 months).
• Qualifying education and work experience should be in Computer Science, Computer Engineering, Information Technology, or a related field.
• Basic scripting or programming capability in Python, Bash, Go, or a similar language for automation and log parsing.
• Demonstrated curiosity, analytical troubleshooting skills, and enthusiasm for collaborating within a fast-learning team.

Preferred Qualifications

• Academic coursework or project exposure to cloud platforms (such as Amazon Cloud, Google Cloud, or Microsoft Azure).
• Introductory experience with containerization technologies, such as Docker or basic Kubernetes concepts.
• Familiarity with observability and logging tools (such as Splunk SPL, OpenTelemetry, Prometheus, or Grafana) through labs, internships, or personal projects.
• Exposure to infrastructure automation concepts or configuration management tools (such as Terraform, Ansible, or Puppet).
• Curiosity about using modern AI developer tools (such as GitHub Copilot or Claude) to accelerate scripting and operational runbook documentation.