Site Reliability Engineer

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta,...

We are backed by industry leading investors including Accel, Naspers/Prosus, 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...

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...

 
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.
 
 
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
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
Maintain deployment runbooks, troubleshooting guides, and environment configuration docs
Facilitate knowledge transfer across teams to ensure smooth handovers
 

 
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
 
 
Experience at a fast-paced, high-growth startup
Hands-on with containerization and orchestration — Docker, Kubernetes
 
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
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