DevOps professionals with cloud infrastructure expertise and multi-tenant SaaS experience will find this role in AI platform operations at Ema. The hybrid work arrangement in Mountain View and the emphasis on scalable, secure systems suggest a preference for candidates with proven track records in enterprise-level DevOps.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Ema via Ashby
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.
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.
What You Own
Build and maintain Kubernetes clusters and cloud infrastructure
Automate infrastructure provisioning with Terraform and Ansible
Implement CI/CD pipelines for fast, safe deployments
Build observability systems (logging, monitoring, alerting)
Ensure security, performance, and reliability at scale
Support multi-tenant SaaS architecture and scaling
Qualifications
Required
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
Preferred
Multi-cloud experience
Helm charts and deployment automation
Monitoring tools (Prometheus, Grafana, Datadog)
CI/CD platforms (GitHub Actions, ArgoCD)
ML infrastructure experience
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.
Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.
Source: Ema careers (Ashby)