לוח משרות דרושים איש DevOps משרה מלאה, לחיפוש זה נמצאו 135 משרות

We're looking for a DevOps Engineer to power the reliability, security, and efficiency of the world's most impactful weather platform. You'll build self-service platforms that give developers and weather scientists true independence, weave AI into how we operate, and work side-by-side with R&D to push performance and scale further. You'll evolve our cloud infrastructure to match the pace of the business, hold the line on cost, and stay close to production through on-call. The people who thrive here bring a product mindset, take ownership without waiting to be asked, and leave the people and systems around them better than they found them.

As a DevOps Engineer you'll:
Evolve and maintain our cloud infrastructure, delivery and observability - and the self-service platforms above them - so they serve our business strategy and let scientists and developers work on their own as we grow at scale.
Develop and adopt tools, with AI at the center, that make development and operations processes measurably more efficient.
Partner with the engineering teams behind our platform and its API to improve service performance, reliability, scale, security and cost.
Keep production available to its SLOs - taking your turn on the on-call rotation and following each incident through to whatever stops it from happening again.
Work as part of the team: share what you know, learn from the people around you, and help us keep improving how we work together.

We're looking for a smart and capable DevOps Engineer. You will be part of a small and agile team, working on well-built infrastructure, handling production workloads, building and maintaining infrastructure that supports continuous delivery. This job includes work across the devops stack, including agent development, CI/CD, networking, resource allocation, cloud architecture, security, developer experience, and more.
We work with enterprise customers, with the SLA and expectations that this dictates.
This position includes on-call shifts.
Our stack:
Kubernetes on AWS
Terraform and IAC
Github & Github Actions
Responsibilities
What will you DO:
Design and evolve our cloud multi-region architecture on AWS - networking, interconnects, IAM and high-availability topology - and express it entirely as code with Terraform, following GitOps as a first principle.
Build and own the CI/CD pipelines that plan, review, test and safely apply IaC changes - Policy-as-Code guardrails, drift detection and progressive rollout so infrastructure changes ship as confidently as application code.
Advance Platform-as-a-Product: build self-serve capabilities and paved paths so engineers can provision what they need
Strengthen our observability stack - metrics, logs, traces and alerting.
Troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability.
Design and develop the next generation of AI agents to support higher pace and evolve the RnD productivity while maintaining security and engage the entire company to use AI for better solutions.

We are looking for a DevOps Engineer to own and scale the infrastructure behind our AI systems.

What you'll do
Own cluster reliability, availability, monitoring, alerting, capacity planning, and incident response.

Configure, maintain, and troubleshoot GPU servers, networking equipment, switches, InfiniBand fabrics, storage, and related infrastructure.

Deploy, maintain, and improve infrastructure around Slurm, Kubernetes, and GPU workload orchestration.

Manage and improve our cloud environment, including compute, networking, storage, IAM, security groups, cost visibility, and production infrastructure.

Build, maintain, and improve CI/CD pipelines.

Work closely with engineers to understand infrastructure bottlenecks and improve development, training, inference, and deployment velocity.

Contribute to security best practices across cloud, network, CI/CD, access control, secrets management, and production systems.

What You'll Do
Platform and infrastructure (K8s + IaC).
Architect and operate our Kubernetes platform on AWS - scaling, networking, cost, and reliability.
Own infrastructure as code (Terraform) so environments are reproducible, auditable, and fast to evolve.
Build the foundations that let the team provision and scale services without friction.
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AI agent platform - managing and scaling agents at volume
Operate and scale the orchestration layer (Temporal) that runs dozens of agents in parallel.
Tune the platform for the unusual load profile of agent workloads - bursty, long-running, data-heavy, latency-sensitive.
Give engineers the primitives to deploy, version, observe, and roll back agents safely under enterprise SLAs.
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CI/CD and developer experience.
Own build and deploy pipelines end-to-end - fast, safe, boring releases.
Invest in DX as a first-class product: the team treats developer experience as leverage, and you set the bar.
Reduce the time from merged to in production and from idea to running experiment.

Observability and reliability
Build monitoring, alerting, and tracing that make production legible - for services and for agents.
Own incident response and the reliability practices that keep enterprise customers SLAs intact.
Turn incidents into systemic fixes, not repeated firefighting.

Security and compliance
Own secrets management, hardening, and the day-to-day security posture of the platform.
Support our compliance commitments (we are Mastercard-certified, operating in fintech - the bar is high).
Build security into the pipeline so it is the default, not a gate.
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We are looking for a Windows platform expert with deep, hands-on scripting skills (PowerShell preferred) to own the security hardening, imaging, and deployment automation of the Windows environment underlying our FFRangio system.
You'll work at the intersection of low-level Windows internals (boot security, disk encryption, image management) and modern Windows virtualization and DevOps practices (CI/CD pipelines), helping us build a secure, locked down, and reliably reproducible Windows environment for a regulated medical device product.
You should be comfortable going deep - from BIOS settings and TPM chains up through image-building and pipeline automation - and who treats scripting as the primary tool for making security and deployment repeatable, auditable, and reliable, in service of a real clinical product used in the Cath lab.
Responsibilities may include the following and other duties may be assigned:
Design, implement, and maintain PowerShell-based automation for system configuration, hardening, and deployment of FFRangio Windows workstations
Define and enforce BIOS/UEFI security settings and TPM-based trust chains (Secure Boot, measured boot, TPM attestation)
Implement and manage BitLocker and other Windows encryption mechanisms, including key management and recovery strategies
Build and maintain Windows hardening baselines using Group Policy, AppLocker, custom Shell/UI restrictions, and Kiosk (Assigned Access) mode suited to a clinical, cath-lab environment
Manage user/account permission models and least-privilege access schemes across managed devices
Create, manipulate, and maintain VHD/VHDX-based images for deployment, recovery, and testing workflows
Build and maintain CI/CD pipelines in Azure DevOps for automated build, test, and deployment of Windows images and configurations
Collaborate with software, QA, and regulatory/quality teams to ensure hardening and deployment practices
Document configurations, scripts, and processes for reproducibility and audit purposes, consistent with medical device quality system requirements.

This is a unique opportunity to build modern DevOps infrastructure from the ground up, drive engineering automation, introduce AI-powered development practices, and shape the way complex multidisciplinary products are developed, tested, and delivered. Responsibilities
Define and execute the DevOps strategy, architecture, and roadmap across Software and Embedded Software R&D.
Build and maintain scalable CI/CD pipelines, automation frameworks, and engineering infrastructure.
Lead the implementation of automated testing, release management, artifact traceability, and quality monitoring solutions.
Drive the adoption of AI-powered tools, LLMs, and intelligent automation within development and DevOps workflows.
Own and improve engineering toolchains, including Git, Jira, and related integrations.
Partner with Software, Embedded, QA, and IT teams to enhance engineering efficiency and product quality. Build, mentor, and lead a high-performing DevOps team while remaining highly hands-on.

We're looking for a DevOps & Deployment to join the Deployment team and take ownership of how we reache 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 us 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.

Responsibilities
This is a DevOps and Backend role, with approximately 60% of the focus on DevOps & Deployment and 40% on Backend engineering. Youll own both the infrastructure that enables us to run in complex customer environments and the backend services that support and manage the deployment lifecycle.

DevOps & Customer Deployment ~60%
Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments.
Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives.
Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades.
Develop and maintain our Kubernetes-based deployment (Golang, Helm) for both cloud-native and on-premises environments.

Backend Engineering ~40%
Build and maintain backend services (Python, TypeScript) that power the deployment lifecycle - including orchestration, provisioning, and environment management.
Develop health monitoring and deployment verification services that ensure reliable, validated deployments with minimal customer friction.
Design and improve APIs that manage customer environments, ensuring they are robust, well-documented, and easy to integrate with.
Own the reliability and performance of time-critical deployment services where latency and correctness directly affect the customer experience.

Collaboration & Customer-Facing Work
Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed - sometimes during US business hours.

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 Founding DevOps Engineer to build our infrastructure DNA and the backbone of the Al revolution. You'll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for Al workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing us as a leader in adaptive Al compute management.
Join us to tackle the magic that make Al tick under the hood and build the backbone powering the Al revolution.
What You'll Do
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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. We'll design how we use Helm, GitOps processes, and specialized operators to manage state-of-the-art Al 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 Al researchers to move at lightning speed without worrying about the underlying hardware.

we are looking for a Cloud FinOps Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity.
Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring "cost-by-design" is a core part of our infrastructure evolution.
Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage.
Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing consistent tagging policies, automated guardrails, and governance frameworks.
Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI.

We are seeking a DevOps Infrastructure Engineer to manage and maintain DevOps tools and infrastructure across production and non-production environments, with a strong focus on CI/CD, automation, and OpenShift platforms. This is a full-time position located in central Israel, offering a hybrid work model. Key Responsibilities:
* Manage DevOps tools and infrastructure across Production and Non-Production environments.
* Manage and maintain OpenShift infrastructure, including planning, implementing, and optimizing automated processes.
* Develop and maintain CI/CD pipelines and infrastructure automation processes.
* Automate manual processes and manage environment configurations across infrastructure and applications.
* Maintain and enhance automation tools, including log analysis, troubleshooting, and scripting.
* Integrate development and infrastructure automation tools into OpenShift environments.
* Collaborate closely with Development, Infrastructure, and cross-functional teams to support organizational needs.

We're looking for an Infrastructure Engineer to go deep into that layer: build and own core proxy and networking infrastructure, not configure someone else's.

You bring the same range as our core infrastructure engineers - proxies and networking, browser internals, and cloud-native systems (Kubernetes, Docker, AWS) - with the depth to design and debug at every layer of the stack, plus a genuine specialization in networking and proxy systems.

What Youll be Doing:
Build core proxy infrastructure - reverse proxies, IP rotation, session management, intelligent routing.
Own IP pool health - reputation scoring, monitoring, blacklist recovery - across residential, mobile, datacenter, and ISP proxies.
Implement geo-targeting at country, city, and ASN level.
Work at the protocol level (TCP/UDP, sockets, HTTP/HTTPS/SOCKS5, HTTP/2/3) and the Linux networking stack underneath.
Build monitoring, health checks, failover, and bandwidth/usage metering for the proxy fleet.
Deploy and scale on cloud-native infrastructure (Kubernetes, Docker, Terraform).
Use AI-assisted development tools daily.