Devops Engineer, US
San Francisco | United States (Remote) · Remote · 4+ years experience · Full-time · Remote · Posted Sep 28, 2026
At a glance
- Experience
- 4+ years experience
- Employment
- Full-time
- Workplace
- Remote
- Location
- San Francisco | United States (Remote) · Remote
About GT HQ
- 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, 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, 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.
About the role
- The DevOps Engineer will build and manage the infrastructure powering Ema's Agentic AI platform.
- The role involves designing cloud systems, automating deployments, and ensuring reliable scaling to support enterprise-level operations.
Responsibilities
- 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 including logging, monitoring, and alerting
- Ensure security, performance, and reliability at scale
- Support multi-tenant SaaS architecture and scaling
Requirements
- 4+ years DevOps, SRE, or platform engineering experience
- Expert-level Kubernetes and containerization knowledge
- Terraform and infrastructure-as-code proficiency
- Cloud platform mastery in AWS, GCP, or Azure
- Strong systems thinking and distributed systems knowledge
- B.Tech in CS/ECE from IIT/NIT/IIIT/BITS or equivalent
Preferred qualifications
- Multi-cloud experience
- Helm charts and deployment automation
- Monitoring tools such as Prometheus, Grafana, or Datadog
- CI/CD platforms like GitHub Actions or ArgoCD
- ML infrastructure experience
Benefits
- Variable compensation
- Equity
Workplace
- Remote position available within the United States
Skills
- Kubernetes
- Terraform
- Ansible
- AWS
- GCP
- Azure
- Prometheus
- Grafana
- Datadog
- GitHub Actions
- ArgoCD
- Helm
