Ema

Devops Engineer, US at Ema (Mountain View, CA)

Ema· Mountain View, CA·

Role details

Work type
Hybrid
Employment
Full-Time

Job description

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.

Why work at Ema

  • Culture: Ema describes itself as an "AI-first" company that hires "fewer people with a hunger and growth mindset" and augments the human workforce with AI employees. Core values include being innovative, trusted, relentlessly driven, and bold.
  • Engineering Philosophy: The company has a published "Engineering Manifesto" and emphasizes hiring "builders and creators." They believe a "10x team is better than a 10x individual" and operate with a "no wait, no boundaries" approach.
  • Work Environment: "Everyone builds" is a key principle—employees are expected to write software, create original content, and build new processes regardless of their formal role.
  • Remote/Hybrid Policy: Not explicitly stated, but offices are located in the SF Bay Area (US), India, UK, and Canada, suggesting a global, likely hybrid-friendly setup.
  • Talent Pool: The company attracts talent from top tech companies (Google, Meta, Amazon, Coinbase, Databricks) and top universities (IIT Delhi), indicating a high-caliber peer group.
  • Open Roles (as of mid-2026): 32 active job postings, including roles in ML Engineering, Backend Engineering, DevOps, Product Management, Security & Compliance, and Marketing.

Application questions