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Himalayas

Devops Engineer, US

Ema3 weeks ago

Where you can work from
Remote — United States onlyUnited States
Salary
Salary not disclosedThe employer did not publish a range. We do not estimate one.
Job type
Full-time
Experience
Not stated

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Job description

About Ema

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.

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.

Originally posted on Himalayas

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Job availability & source

Still listed on the employer's own board at our last check, 7 days ago

This job was originally posted by the employer or source shown below. We re-check the original listing regularly to keep its availability current, and send you straight to it to apply — we never sit in between.

Source
Himalayas
Posted by the employer
30 Sept 2026
First seen by us
30 Sept 2026
Last checked
18 Oct 2026

via Himalayas — view on source

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