לוח משרות דרושים איש DevOps בתל אביב יפו, לחיפוש זה נמצאו 78 משרות

Were looking for a Founding DevOps Engineer to build our infrastructure DNA and the backbone of the AI revolution. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing our company as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- **Architecture:** Architect a modular, multi-cloud "Control Plane vs. Data Plane" model using Infrastructure as Code.
- **Infrastructure R&D:** Research and implement cutting-edge solutions for GPU orchestration, low-latency networking, and automated cross-account (BYOC) provisioning.
- **The Kubernetes Frontier:** Deep-dive into K8s internals to optimize LLM inference workloads. Well design how we use **Helm**, **GitOps processes**, and specialized operators to manage state-of-the-art AI clusters.
- **Performance Engineering:** Don't just monitor; optimize. You will research bottlenecks in the stack - from networking connectivity limits to GPU memory throughput - and build the infrastructure to solve them.
Build the "Golden Path": Develop the internal tooling and automation that allows our AI researchers to move at lightning speed without worrying about the underlying hardware.

Tech is at the center of everything we do at our company and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the company Technology team might be right for you.
our company's Engineering team is expanding its DevOps capabilities to manage our rapidly growing cloud infrastructure. We're looking for a mid-level DevOps Engineer to join this high-velocity environment, taking ownership of cloud assets, contributing to production stability, and driving key projects. You'll be instrumental in strengthening our team and supporting our continued innovation.
What am I going to do?
Independently deploy and maintain robust cloud infrastructure across AWS, GCP, and CloudFlare, leveraging Kubernetes, Terragrunt, and Ansible.
Contribute to an on-call rotation, ensuring the stability of critical production services including Kafka, RabbitMQ, and various databases, with a focus on proactive incident resolution.
Lead small to mid-sized projects from conception through completion, utilizing your expertise in CI/CD pipelines (Jenkins, ArgoCD, Argo Workflows) and scripting languages like Python, NodeJS, Go, or Kotlin.
Partner closely with security and development teams to embed security best practices throughout the entire software development lifecycle.
Proactively evaluate and implement new tools and technologies to enhance engineering efficiency, security posture, and operational excellence.
Manage sensitive information securely using tools like HashiCorp Vault and ensure secure configurations for services like Kong & Nginx.

We're looking for a DevOps & Deployment to join the Deployment team and take ownership of how reaches our customers' environments - and how it runs once it gets there.
This role sits at the intersection of cloud infrastructure and backend engineering. You'll build and maintain the Infrastructure-as-Code and tooling that customers use to deploy across AWS, Azure, and GCP - including Kubernetes-based, VM-based, and on-premise environments. Alongside that, you'll develop the backend services that power the deployment lifecycle: orchestration, provisioning, environment management, health monitoring, and deployment verification - time-critical services where reliability directly impacts the customer experience.
The role blends hands-on engineering, cloud architecture, and customer-facing technical work. You'll collaborate with Solutions Engineering, Support, and customers directly to ensure deployments are smooth, secure, and scalable.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization We are looking for a DevOps Engineer to build and own the platform our autonomous execution engine runs on. You will own how Zipher ships, scales, and stays up — the delivery pipelines, the Kubernetes infrastructure, and the reliability of systems enterprise customers depend on.
What You’ll Do
* Architect and own GitOps-based delivery — ArgoCD, Helm, Terraform, GitHub Actions — so the engine ships to production safely, many times a day
* Build and operate the Kubernetes platform , including on-demand environments spun up per pull request and torn down automatically
* Design deployment safety into the platform: canary analysis, blue/green rollouts, automated rollback, and an observability stack (Prometheus, Grafana, OpenTelemetry) that surfaces failure first
* Partner closely with backend and data engineers to make production infrastructure secure, reproducible, and cost-aware across AWS accounts and enterprise deployments
* Drive reliability end to end: define SLOs , own incident response, and raise the operational bar for mission-critical services
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform High ownership from day one : real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
* Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity Ready to own the platform that lets an autonomous execution engine run in production? Hit Apply.