Description review
Devops Engineer, US
Ema · United States · back to the listing
HR standards
44/100
poor
Title ↔ description
90/100
strong
Reads as
DevOps Engineer
100% confident
What this role officially is
ICT system administrator — ESCO, the EU occupation classification
ICT system administrators are responsible for the upkeep, configuration, and reliable operation of computer and network systems, servers, workstations and peripheral devices. They may acquire, install, or upgrade computer components and software; automate routine tasks; write computer programs; troubleshoot; train and supervise staff; and provide technical support. They ensure optimum system integrity, security, backup and performance.
Also known as: enterprise administrator, IT system administrator, ICT systems administrator, ICT sysadmins, IT systems administrator, ICT sysadmin
How others title the same work
Large employers
- Senior Software Engineer, Developer Infrastructure Coinbase
- Senior Software Engineer, Infrastructure - Compute Platform Coinbase
- Senior Software Engineer, Infrastructure - Core Infra Systems Coinbase
- Software Engineer - Python - Container Images Canonical Ltd.
- Software Engineer - Secure Container Images Canonical
Startups
- Ecosmic | Senior DevOps Engineer | Remote (Italy) | €50,000–€60,000 Ecosmic
- 3C Digital Solutions | Terraform Module Developer 3C Digital Solutions
- Software Engineer, Cloud Infrastructure Accord
- BCC | Platform Systems Engineers | Bethesda MD | Competitive compensation! BCC
- DevOps Engineer Cyble
What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
- No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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