Senior Devops Engineer

K Health

  • Tel-Aviv, IL
  • 30+ days ago

    Highlights

    This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA.

    Numbers & Facts

    LocationTel-Aviv, IL

    Description

    About the Role:

    We are looking for a Senior DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation.

    What you will do:

    • Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments.
    • Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS.
    • Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment).
    • Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others.
    • Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA.
    • Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests.
    • Lead development of AI-powered operations tooling and agentic infrastructure.
    • Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts.
    • Mentor junior DevOps engineers and establish team-wide engineering standards.

    What we are looking for:

    • 5+ years of experience in DevOps, platform engineering, or site reliability engineering.
    • Deep, hands-on experience with Kubernetes and the surrounding ecosystem- Helm, Helmfile, ArgoCD, Kyverno, cert-manager, and NGINX Ingress.
    • Extensive experience with Google Cloud Platform- GKE, Cloud SQL, Memorystore, Cloud Storage, IAM, and Workload Identity.
    • Strong Terraform expertise: modular architecture, multi-environment provisioning, and automated testing.
    • Advanced knowledge of GitLab CI/CD and GitOps practices.
    • Proficiency in Python and/or Go.

    Plus:

    • Advanced Bash scripting skills.
    • Experience with secrets management solutions such as Akeyless or HashiCorp Vault.
    • Experience with database administration across PostgreSQL, Redis, and MongoDB - including DR configuration and operational runbooks.
    • Experience with Datadog or equivalent observability platform (APM, infrastructure, log management).
    • Experience with Cloudflare for DNS, CDN, and security rules management.
    • Demonstrated experience designing and executing disaster recovery programs, including failover testing and runbook authorship.

    Bonus:

    • Experience in highly regulated environments- SOC2 and HIPAA.
    • Excellent communication skills with the ability to lead cross-functional infrastructure initiatives.
    • Demonstrated leadership experience, including mentoring junior engineers.
    • Experience with HPC or GPU cluster infrastructure, including Slurm..
    • Experience building or operating AI agents or agentic infrastructure.
    • Experience with microservices architecture and API gateway / reverse proxy patterns.
    • Experience with AWS.

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