Devops Engineer, US at Ema | GlassEver Jobs
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Devops Engineer, US

United States Sep 30, 2026
DevOps-Engineer DevOps-Software-Engineer Infrastructure-DevOps-Engineer Remote-DevOps-Engineer Cloud-DevOps-Engineer

Job Description

About

is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to , 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, 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 '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

QualificationsRequired

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

PreferredMulti-cloud experienceHelm 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.

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.