> Markdown version of [/jobs/ext/3821609-devops-engineer-us](https://www.wearedevelopers.com/jobs/ext/3821609-devops-engineer-us). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Devops Engineer, US - **Company:** Ema Unlimited - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Cloud Computing, Continuous Integration, DevOps, Distributed Systems, Github, Monitoring of Systems, Ansible, Prometheus, Datadog, Data Logging, Cloud Platform System, Okta, Grafana, Kubernetes Helm Charts, Multi-Cloud, Agentic-AI, Containerization, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Machine Learning Operations, Terraform - **Published:** October 18, 2026 - **Apply:** https://www.careerbuilder.com/job-details/devops-engineer-us-san-francisco-ca--1a274630-6ca2-4008-a82e-16fe75467da4 ## About the Role 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. ## Description About EmaEma 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 RoleBuild and manage the infrastructure that powers Emas AI platform. Youll design cloud systems,automate deployments, and ensure everything scales reliably to support millions of enterprises.What You OwnBuild and maintain Kubernetes clusters and cloud infrastructureAutomate infrastructure provisioning with Terraform and AnsibleImplement CI/CD pipelines for fast, safe deploymentsBuild observability systems (logging, monitoring, alerting)Ensure security, performance, and reliability at scaleSupport multi-tenant SaaS architecture and scalingQualificationsRequired4+ years DevOps, SRE, or platform engineering experienceExpert-level Kubernetes and containerization knowledgeTerraform and infrastructure-as-code proficiencyCloud platform mastery (AWS/GCP/Azure)Strong systems thinking and distributed systems knowledgeB.Tech in CS/ECE from IIT/NIT/IIIT/BITS or equivalentPreferredMulti-cloud experienceHelm charts and deployment automationMonitoring tools (Prometheus, Grafana, Datadog)CI/CD platforms (GitHub Actions, ArgoCD)ML infrastructure experienceCompensation 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.