דלג לתוכן הראשי

DevOps Engineer

Technology
Echo
Tel-Aviv, ישראללפני 2 חודשים
משרה מלאהבאתר

תיאור המשרה

About Echo

Echo delivers frontier-hardened software across the enterprise software supply chain.

Echo's containers, libraries, OS packages, VMs, and more are built and patched from source by agentic pipelines, and continuously vetted for supply chain threats. With us, developers and agents can build with secure-by-default software that's compatible with the tools and versions they already use.

We're looking for a DevOps Engineer to join our core team and own the infrastructure that builds, ships, and runs Echo's artifacts and platform, including the infrastructure our customers rely on.

What you'll do

  • Design, build, and manage the scalable AWS and Kubernetes infrastructure, behind our factory and the platform our customers rely on
  • Design and build robust CI/CD pipelines to build, test, and release our artifacts at scale, quickly and securely
  • Build and run the infrastructure that delivers our artifacts to customers (registries, access control, and distribution), and support their use cases, including mirroring and integrations
  • Build the infrastructure that runs our AI-powered factory and its agents at scale
  • Establish comprehensive monitoring, logging, and alerting systems to ensure platform reliability and performance

What you bring

Required

  • 5+ years of experience as a DevOps engineer with proven track record in production environments
  • Extensive cloud experience (AWS preferred)
  • Proven hands-on experience with containerized environments and microservices using Docker and Kubernetes
  • Experience with CI/CD tools and methodologies (GitHub Actions, Argo, Jenkins or similar)
  • Strong sense of ownership, and the ability to quickly learn and implement new technologies
  • Excellent communication skills and proven ability to work effectively in cross-functional teams

Preferred
  • Experience with build systems, large-scale CI, or Linux package builds
  • Experience running AI agents or LLM-based workflows in production
  • Familiarity with software supply chain security, such as provenance, signing, and vulnerability scanners
Keywords
AWSTerraformDockerKubernetesCI/CDGitHub ActionsArgoJenkinsCloud InfrastructureMicroservicesMonitoringLoggingAlertingInfrastructure AutomationContainer SecurityDevOpsEngineeringDeploymentScalabilityPlatform Reliability

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