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.
RequirementsTechnical 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/
Skills Required
- 5+ years of DevOps or platform engineering experience in a product company
- Deep hands-on experience with Kubernetes and Helm, including deploying software to customer-controlled clusters
- Production experience with GitOps using ArgoCD or Flux
- Experience with infrastructure as code and zero-downtime release engineering
- Experience running stateful Kubernetes workloads using operators for Kafka, PostgreSQL, or Elasticsearch
- Understanding of observability fundamentals including Prometheus, Grafana, and OpenTelemetry
- Ability to operate in air-gapped environments without managed cloud services
- Strong cross-functional collaboration with AI/ML Ops, backend, research, and solutions teams
- Comfort owning production reliability and on-call responsibilities
- Experience with OpenShift, KEDA, and Temporal
- Experience deploying and operating LLM inference on Kubernetes with GPUs
- Experience with GPU scheduling, node readiness, and offline model packaging
- Experience with LLM gateways such as LiteLLM and LLM observability such as Langfuse
What We Do
DriveNets is a rapidly growing software company that has created a radical new way for service providers and hyperscalers to build their networking infrastructure. DriveNets Network Cloud and DriveNets Network Cloud-AI are new innovative networking solutions that apply the cloud architectural approach to high-scale networking. They bring together the scalability of standard Ethernet Clos architecture with the high performance and reliability of service provider networking, delivering optimal networking performance, scale and cost structure for service providers and hyperscalers. Founded by Ido Susan and Hillel Kobrinsky, two successful telco entrepreneurs, DriveNets Network Cloud is the leading open disaggregated networking solution based on cloud-native software running over standard white boxes. Over three funding rounds, DriveNets raised $587 million. Its solutions are used by tens of service providers globally and are in proof-of-concept and lab trials at dozens of operators and hyperscalers, consistently ranking #1 in trials for breadth of capabilities and solution quality. AT&T, the largest backbone in the US, deployed DriveNets Network Cloud across its core network, and DriveNets is currently transporting more than 52% of AT&T’s core network traffic. DriveNets is engaged with over 100 Tier-1 operators and cloud-providers on large projects in North America, Asia and Europe.
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