Site Reliability Engineer

About the role

ABOUT EMA

Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale.

About the Role

As a Site Reliability Engineer at Ema, you will own the stability, availability, and operational health of our agentic AI platform across customer environments. You'll work closely with Engineering and DevOps to provision infrastructure, drive deployment excellence, and keep production running at the quality bar our enterprise customers expect — 99.9%+ uptime, proactive incident response, and continuous improvement.

What You'll Do

Infrastructure & Deployment

- Design and provision cloud infrastructure (GCP, Azure, AWS) tailored to customer environments, with security, scalability, and compliance built in

- Execute on-call SaaS deployments with minimal downtime; automate and optimize deployment workflows end-to-end

Production Stability & Observability

- Monitor logs, alerts, and metrics to maintain SLA commitments and catch issues before they escalate

- Diagnose and resolve production incidents with speed and rigor; drive root cause analysis and permanent fixes

- Collaborate with DevOps to enhance monitoring dashboards and alerting frameworks; deliver clear system health reporting to internal and customer stakeholders

Documentation & Knowledge Management

- Maintain deployment runbooks, troubleshooting guides, and environment configuration docs

- Facilitate knowledge transfer across teams to ensure smooth handovers

What We're Looking For

- 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 — comfortable working directly with both engineering teams and customer stakeholders

Nice to Have

- Experience at a fast-paced, high-growth startup