Site Reliability Engineer

The role

You will own the stability, availability, and operational health of an agentic AI platform. You will design cloud infrastructure, execute deployments, and monitor production systems to maintain uptime.

What you will do

• Design and provision cloud infrastructure across GCP, Azure, and AWS
• Execute on-call SaaS deployments with minimal downtime
• Automate and optimize deployment workflows end-to-end
• Monitor logs, alerts, and metrics to maintain SLA commitments
• Diagnose and resolve production incidents
• Drive root cause analysis and permanent fixes
• Collaborate with DevOps to enhance monitoring dashboards and alerting frameworks
• Deliver system health reporting to internal and customer stakeholders
• Maintain deployment runbooks, troubleshooting guides, and environment configuration docs
• Facilitate knowledge transfer across teams

Required qualifications

• 3-5 years in DevOps, Infrastructure, or Deployment Engineering roles
• Hands-on experience with cloud platforms — GCP, Azure, or AWS
• Proficiency with infrastructure-as-code tools such as Terraform or Ansible
• Experience with CI/CD pipelines — GitLab CI, Jenkins, or equivalent
• Familiarity with observability tooling — Prometheus, Grafana, Datadog, or Splunk
• Strong troubleshooting instincts across distributed systems
• Clear communicator

Nice to have

• Experience at a fast-paced, high-growth startup
• Hands-on with containerization and orchestration — Docker, Kubernetes

About the company

Ema builds AI Employees for HR, IT and Finance. The company is headquartered in Silicon Valley with offices in London, Bangalore and Vancouver.