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Ema
Posted 6 days agoVerified live 1d ago

Devops Engineer, US

Brief overview

Remote
4+ yrsMinimum
KubernetesContainerizationTerraformAnsibleCloud Infrastructure (AWS/GCP/Azure)Distributed SystemsCI/CDInfrastructure as CodeMulti-Cloud ArchitectureHelmPrometheusGrafana

Job description

Summary

Ema is building an agentic AI platform to transform enterprise productivity. The DevOps Engineer will build and manage the infrastructure powering Ema’s AI platform, including cloud systems, deployments, observability, security, and scalable multi-tenant SaaS architecture.

Responsibilities

  • 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

Skills

  • 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
  • Multi-cloud experience
  • Helm charts and deployment automation
  • Monitoring tools (Prometheus, Grafana, Datadog)
  • CI/CD platforms (GitHub Actions, ArgoCD)
  • ML infrastructure experience

Qualifications

Must Haves

  • 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

Nice to Haves

  • Multi-cloud experience
  • Helm charts and deployment automation
  • Monitoring tools (Prometheus, Grafana, Datadog)
  • CI/CD platforms (GitHub Actions, ArgoCD)
  • ML infrastructure experience

Benefits

  • Certain roles may be eligible for variable compensation, equity, and benefits.

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