Site Reliability Engineer

Site Reliability Engineer

We are looking for a Site Reliability Engineer based in Latin America to work on a long-term project for one of our clients, a software company based in San Ramon, California. Our client provides cloud solutions trusted by governments worldwide to accelerate their digital transformation, deliver vital services, and build stronger communities.

• Lead deep technical analysis during critical incidents, coordinating cross-functional teams to identify root causes, restore services quickly, and drive long-term reliability improvements.
• Automation and Toil Reduction:
  Writing code and scripts (Python, Go, or Bash) to eliminate repetitive manual work and handle provisioning.
• Incident Management:
  Responding to system alerts, troubleshooting production issues, joining on-call rotations, and restoring services quickly.
• SLO and Error Budget Management:
  Establishing Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets to balance feature delivery speed with system stability.
• Monitoring and Observability:
  Building dashboards and setting up tools (such as Prometheus, Grafana, or Datadog) to track system health and latency.
• Post-Incident Reviews:
  Conducting blameless post-mortems to find root causes and prevent repeat failures.
• Capacity Planning:
  Analyzing resource usage trends to forecast future infrastructure and scaling needs.

• Advanced level of English.
• 5+ years of experience working as a Site Reliability Engineer.
• 1+ years of experience within Microsoft Azure.
• Strong experience with Python, Bash or Go for automation purposes.
• Experience working with Monitoring and Observability tools such as Prometheus, Grafana, or Datadog.
• Ability to keep a focused mind during high-severity production outages to lead teams effectively.
• Proven experience explaining complex infrastructure failures to non-technical business stakeholders in clear, simple terms.
• Strong prioritization instincts, with the ability to quickly determine whether to resolve a live issue manually or engineer a permanent automated solution.
• Experience working with AI apps or agents.

• Bachelor's Degree in Computer Science, Systems Engineering or related fields.
• SaaS experience

• Long term positions
• Compensation in USD
• Paid time off
• Cool clients and products
• Work with great engineers