# Senior DevOps Engineer — Cybersecurity business unit [Drivenets](https://gurify.com/jobs?q=Drivenets) · Tel Aviv, Israel · Posted today Hybrid Senior [DevOps](https://gurify.com/jobs/devops) [Apply on the original posting → (opens in a new tab)](https://www.comeet.com/jobs/drivenets/72.006/senior-devops-engineer--cybersecurity-business-unit/86.277) ## Job description ### Senior DevOps Engineer - Cybersecurity ### Hybrid | Israel ### About the Company DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. DriveNets' Cybersecurity business unit is building an AI-powered security platform for the world's largest service provider networks. The platform combines a cloud-native microservices backend with self-hosted LLM inference, delivered into customers' own Kubernetes environments — often air-gapped, with no data leaving their premises. ### Responsibilities - Own the platform's Helm charts and make them portable across any Kubernetes distribution, including OpenShift (non-root, restricted SCCs, NetworkPolicies). - Operate the self-hosted operator stack: CloudNativePG, Strimzi, ECK, MinIO, Redis, and Temporal. - Run the Nx monorepo pipelines and drive the ArgoCD GitOps rollout. - Build zero-downtime releases using blue/green and canary deployments, expand/contract migrations, and automated rollback. - Manage autoscaling with KEDA/HPA, backup/restore for stateful services, and load-validation of stamp sizing tiers. - Provide on-call support for dev/staging environments and customer stamps. - Build and maintain observability using Grafana Alloy, OpenTelemetry, and Prometheus/Grafana — dashboards and alerts across services, Kafka, databases, and GPUs. - Improve developer experience through a shared dev cluster with local-debug traffic interception (Telepresence / mirrord), targeting sub-15-minute onboarding. ### Requirements ### Technical Skills - 5+ years of DevOps / platform engineering experience in a product company. - Deep hands-on experience with Kubernetes and Helm, including shipping software onto clusters you don't control. - Production experience with GitOps (ArgoCD/Flux), infrastructure as code, and zero-downtime release engineering. - Experience running stateful workloads on Kubernetes via operators (Kafka, PostgreSQL, Elasticsearch). - Solid grasp of observability fundamentals: Prometheus, Grafana, OpenTelemetry. - Comfortable operating in air-gapped environments without managed cloud services. ### Soft Skills - Strong cross-functional collaboration — works daily with AI/ML Ops, backend, research, and solutions teams on customer onboarding. - Comfortable owning production reliability and on-call responsibilities. ### Nice to Have / Advantage - Experience with OpenShift, KEDA, and Temporal. - Hands-on AI inference infrastructure experience: deploying and operating LLM inference on Kubernetes with GPUs (vLLM, TGI, Triton, or similar). - GPU scheduling and node readiness, model packaging for offline delivery. - Experience with LLM gateways (LiteLLM) and LLM observability (Langfuse). If your experience is close but doesn't fulfil all requirements, please submit your application. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. ### More About DriveNets Based in Israel with extended teams located in the US, Japan, and Romania, DriveNets operations cover more than twelve countries globally. Powering production networks for global tier-1 operators, DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. Visit our website to learn more: https://drivenets.com/company/ **Live in Drivenets’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role. We remove it as soon as it disappears at source. ## More jobs like this - TE [Team8 Stealth Cyber Startup- DevOps Engineer](https://gurify.com/job/team8-stealth-cyber-startup-devops-engineer-d1980e22ece4) Team8 · Tel Aviv-Yafo, Israel · 3 days ago - AI [DevOps Engineer](https://gurify.com/job/devops-engineer-at-aitan-927306331257) Aitan · Ramat Gan, Israel · last week - CO [Devops Engineer](https://gurify.com/job/devops-engineer-at-controlup-7c088d9027fa) Controlup · Rishon Lezion · last week - CU [DevOps Engineer](https://gurify.com/job/devops-engineer-at-cust2mate-d4b3e52dff4f) Cust2mate · Giv'atayim, Israel · last week - AL [Senior DevOps Engineer](https://gurify.com/job/senior-devops-engineer-at-allcloud-efec096997a0) Allcloud · Ra'anana, Israel · 2 days ago - ZI [Senior Devops Engineer](https://gurify.com/job/senior-devops-engineer-at-zipher-c71682bf7364) Zipher · Tel Aviv, Israel · 6 days ago ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"Senior DevOps Engineer \u2014 Cybersecurity business unit","description":"\u003Ch3\u003ESenior DevOps Engineer - Cybersecurity\u003C/h3\u003E\u003Ch3\u003EHybrid | Israel\u003C/h3\u003E\u003Ch3\u003EAbout the Company\u003C/h3\u003E\u003Cp\u003EDriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company\u0026#39;s disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets\u0026#39; solutions power production networks for global tier-1 operators like AT\u0026amp;T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises.\u003C/p\u003E\u003Cp\u003EDriveNets\u0026#39; Cybersecurity business unit is building an AI-powered security platform for the world\u0026#39;s largest service provider networks. The platform combines a cloud-native microservices backend with self-hosted LLM inference, delivered into customers\u0026#39; own Kubernetes environments \u2014 often air-gapped, with no data leaving their premises.\u003C/p\u003E\u003Ch3\u003EResponsibilities\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EOwn the platform\u0026#39;s Helm charts and make them portable across any Kubernetes distribution, including OpenShift (non-root, restricted SCCs, NetworkPolicies).\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EOperate the self-hosted operator stack: CloudNativePG, Strimzi, ECK, MinIO, Redis, and Temporal.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ERun the Nx monorepo pipelines and drive the ArgoCD GitOps rollout.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EBuild zero-downtime releases using blue/green and canary deployments, expand/contract migrations, and automated rollback.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EManage autoscaling with KEDA/HPA, backup/restore for stateful services, and load-validation of stamp sizing tiers.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EProvide on-call support for dev/staging environments and customer stamps.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EBuild and maintain observability using Grafana Alloy, OpenTelemetry, and Prometheus/Grafana \u2014 dashboards and alerts across services, Kafka, databases, and GPUs.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EImprove developer experience through a shared dev cluster with local-debug traffic interception (Telepresence / mirrord), targeting sub-15-minute onboarding.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ERequirements\u003C/h3\u003E\u003Ch3\u003ETechnical Skills\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003E5\u002B years of DevOps / platform engineering experience in a product company.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EDeep hands-on experience with Kubernetes and Helm, including shipping software onto clusters you don\u0026#39;t control.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EProduction experience with GitOps (ArgoCD/Flux), infrastructure as code, and zero-downtime release engineering.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience running stateful workloads on Kubernetes via operators (Kafka, PostgreSQL, Elasticsearch).\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ESolid grasp of observability fundamentals: Prometheus, Grafana, OpenTelemetry.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EComfortable operating in air-gapped environments without managed cloud services.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ESoft Skills\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EStrong cross-functional collaboration \u2014 works daily with AI/ML Ops, backend, research, and solutions teams on customer onboarding.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EComfortable owning production reliability and on-call responsibilities.\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ENice to Have / Advantage\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EExperience with OpenShift, KEDA, and Temporal.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EHands-on AI inference infrastructure experience: deploying and operating LLM inference on Kubernetes with GPUs (vLLM, TGI, Triton, or similar).\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EGPU scheduling and node readiness, model packaging for offline delivery.\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience with LLM gateways (LiteLLM) and LLM observability (Langfuse).\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003EIf your experience is close but doesn\u0026#39;t fulfil all requirements, please submit your application. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences.\u003C/p\u003E\u003Cp\u003EDriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics.\u003C/p\u003E\u003Ch3\u003EMore About DriveNets\u003C/h3\u003E\u003Cp\u003EBased in Israel with extended teams located in the US, Japan, and Romania, DriveNets operations cover more than twelve countries globally. Powering production networks for global tier-1 operators, DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. 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