Ema, a Universal AI Employee, is the leading enterprise partner for building and deploying AI Agents across all roles and industries. Backed by Accel.
About the role
Build and manage the infrastructure that powers Ema's AI platform. You'll design cloud systems, automate deployments, and ensure everything scales reliably to support millions of enterprises. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 4+ years DevOps, SRE, or platform engineering experience
- Expert-level Kubernetes and containerization knowledge
- Terraform and infrastructure-as-code proficiency
- Cloud platform mastery (AWS/GCP/Azure)
- Strong systems thinking and distributed systems knowledge
- B.Tech in CS/ECE from IIT/NIT/IIIT/BITS or equivalent
More about this role
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.
Build and manage the infrastructure that powers Ema's AI platform. You'll design cloud systems,
automate deployments, and ensure everything scales reliably to support millions of enterprises.
Build and maintain Kubernetes clusters and cloud infrastructure
Automate infrastructure provisioning with Terraform and Ansible
Implement CI/CD pipelines for fast, safe deployments
Build...
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