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Echo.Ai

DevOps Engineer

Tel AvivOnsite · Israel
FullTime · Engineering
POSTED 10 AUG
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90 days opentrue age
Posted 10 Aug
CompanyEcho.Ai →
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3,257open · DevOps / SRE / Infra
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AWSKubernetesDockerLLMsDistributed systems

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

Source · Echo.AiFirst seen 4 NovOriginal ↗