Devops Engineer, US

Posted 56 Minutes Ago
2 Locations
In-Office or Remote
Mid level
Software
The Role
Build and manage cloud infrastructure for an agentic AI platform. Responsibilities include maintaining Kubernetes clusters, automating provisioning with Terraform and Ansible, implementing CI/CD pipelines, building observability systems, and ensuring security, scalability, performance, and reliability for multi-tenant SaaS architecture.
Summary Generated by Built In
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.

Skills Required

  • 4+ years of experience in DevOps, SRE, or platform engineering
  • Expert-level Kubernetes and containerization knowledge
  • Proficiency with Terraform and infrastructure as code
  • Mastery of at least one cloud platform: AWS, GCP, or Azure
  • Strong systems thinking and distributed systems knowledge
  • B.Tech in CS/ECE from IIT, NIT, IIIT, BITS, or equivalent
  • Multi-cloud experience
  • Helm charts and deployment automation experience
  • Experience with Prometheus, Grafana, or Datadog
  • Experience with GitHub Actions or ArgoCD
  • ML infrastructure experience
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The Company
Bengaluru
78 Employees
Year Founded: 2023

What We Do

Ema is an enterprise partner of choice in building and deploying Agentic AI solutions. We are: ›› Simple - Conversationally build AI employees that learn and excel beyond human limits. Multiply your workforce in minutes, not months. ›› Trusted - Take control back by replacing 100s of vulnerable co-pilots with Ema’s secure and compliant employees. Ema can deploy on-prem and is compliant with all leading standards including SOC2, ISO27001, GDPR, HIPAA, NIST ›› Accurate - Achieve the highest accuracy at lowest cost with Ema’s proprietary 2T+ EmaFusionTM model built for the enterprise use cases. The power of 100+ LLMs at your fingertips. Experience the future of work with Ema, every enterprise’s best performing employee. Hire Ema today

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