DevOps Engineer jobs in Tel Aviv-Yafo

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Minimum Qualifications • 5 years of experience as a DevOps engineer on a high-scale distributed system, working in a Linux environment. • Hands-on experience with containerized environments and microservices, specifically Docker and Kubernetes. • Experience working in a multi-cloud environment. • Knowledge of build/release systems and CI/CD pipelines. • Scripting or programming skills with Python, Bash, or Go. • Full professional fluency (written and verbal) in both Hebrew and English. Preferred Qualifications • The mindset and approach for automating away from manual efforts. • An innovative approach, with the ability to quickly learn technologies. • A strong sense of ownership and accountability. About the job We’re looking for a DevOps Engineer to join the R&D team and spread the power of Wiz. In this role, you will design and implement scalable systems that will keep Wiz running smoothly and support our significant business growth. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment. Responsibilities • Take an active part of all DevOps areas: Wiz’s infrastructure and cloud environment, tools, services and up-time. • Be part of our product’s architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product. • Plan and push forward the growth and scale of data capacity for various products. • Be responsible for the smooth production-grade execution of provided solutions. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

At Similarweb, we are transforming how businesses understand and navigate the digital world. Our cutting-edge data and solutions empower over 5,000 customers worldwide—including industry leaders like Google, eBay, and Adidas—to make strategic, data-driven decisions. Since going public on the New York Stock Exchange in 2021, we’ve continued to push the boundaries of innovation. Join a global team of bright, curious, and driven professionals shaping the future of digital intelligence. About the Role We are looking for a Senior DevOps Engineer who thrives in high-scale, high-performance environments. In this role, you will design and manage mission-critical infrastructure, develop automation tools, and ensure the reliability and scalability of Similarweb’s platform. You will work closely with engineering teams to optimize performance, enhance observability, and prevent incidents before they happen. If you love solving complex infrastructure challenges and building tools that empower engineers, this role is for you! What Will You Do? As a Senior DevOps Engineer at Similarweb, you will: • Design, build, and maintain a highly available, scalable, and resilient production infrastructure handling millions of requests per second. • Manage and optimize tens of AWS accounts in a multi-account cloud environment. • Developing AI-driven automation frameworks and tools that more than 400 R&D engineers use while enhancing system reliability and engineering efficiency. • Design, implement, and support the LLM and agentic workflow infrastructure, ensuring its scalability and reliability. • Manage thousands of servers and containers, ensuring seamless infrastructure operations. • Improve and maintain our logging, monitoring, and alerting stacks for enhanced observability. • Troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability. • Collaborate with engineering teams to optimize performance, reduce latency, and improve deployment processes. What Will You Bring To The Team? • 5+ years of experience in building and maintaining production infrastructure at scale. • 5+ years of experience in developing automation tools and server-side applications using Python, Go, Ruby, Java, or Node.js. • Strong cloud experience with AWS, Google Cloud, or similar platforms. • Experience with the deployment, management, and leveraging of Large Language Models (LLMs) and agentic infrastructure. • Deep knowledge of Linux systems, including troubleshooting, architecture, and system internals. • Solid understanding of web servers, load balancers, caching systems, relational databases, and networking. • A proactive, problem-solving mindset with a passion for optimizing infrastructure and AI-driven automation. Why Join Us? • Work with a globally recognized, publicly traded company shaping the digital landscape. • Own critical infrastructure and directly impact Similarweb’s reliability and scalability. • Work on cutting-edge technologies and solve complex production challenges. • Enjoy a collaborative, innovation-driven environment where your work makes a difference. If you’re excited about scaling infrastructure, building automation, and ensuring the reliability of large-scale systems, we’d love to hear from you! We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Job Description As a DevOps Engineer at Wix, you’ll play a pivotal role in our cloud infrastructure group, driving the development, optimization, and maintenance of our cloud-based infrastructure. You will: • Design, implement, and maintain high-scale production cloud infrastructure solutions for availability, performance and resilience • Implement and maintain Infrastructure as Code (IaC) practices to ensure consistency and efficiency in deployment processes • Use your expertise in Linux and networking to enhance system performance, security, and reliability • Collaborate with cross-functional teams to understand business requirements and translate them into effective cloud solutions • Troubleshoot and resolve complex issues related to cloud infrastructure and services affecting millions of users At Wix, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at Wix and special requests are handled thoughtfully at the team level. Qualifications • 5+ years of experience working on live production systems • Proficiency in Linux and are well-versed in networking fundamentals • Excellent understanding of AWS fundamentals, including IAM, networking and most managed services • Excellent understanding of Kubernetes fundamentals and internals, including hands-on cluster administration • Strong knowledge of provisioning and configuration management systems (e.g., Terraform, Ansible, Pulumi, Chef, etc.) • Strong background with scripting languages like Python and Bash • Experience with monitoring tools (Prometheus, Grafana) • Strong communication and collaboration skills At Wix, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at Wix and special requests are handled thoughtfully at the team level. Additional Information We are Wix’s Infrastructure Guild. We’re at the core of building and maintaining the production environment. Our mission is to improve production performance and resilience to ensure 99.99% uptime for millions of users and drive our developer velocity. We also design, develop, and operate cutting-edge services and robust tools for the entire developer community—both Frontend and Backend.

Job Description Join Wix’s Internal Platform Engineering (IPE) team as a DevSecOps Tech Lead! In this role, you’ll lead a talented team of engineers, driving the technical vision and execution of high-scale cloud infrastructure. You’ll ensure security, resilience, and automation are integral to our engineering culture, while pioneering the adoption of AI-driven tools. In your day-to-day, you will: • Lead, mentor, and develop the technical skills of the DevSecOps team • Collaborate with Product and R&D teams to design scalable and secure distributed systems, evaluate planned changes, and architect infrastructure blueprints • Build and automate multi-K8s environments, microservices, and internal infrastructure using Infrastructure as Code (IaC) tools like Terraform, Terragrunt, and Helm • Implement a security-first approach, integrating CI/CD pipelines (GitOps) and secure-by-design infrastructure • Drive the adoption of AI-driven solutions for automation, monitoring resilience, incident response, and threat intelligence • Oversee modern cybersecurity solutions (SIEM, EDR, Firewalls) and application security frameworks ** At Wix, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at Wix and special requests are handled thoughtfully at the team level. Qualifications • 5+ years of professional experience in DevOps, SecOps, or Infrastructure Engineering, with at least 3 years in a technical leadership or mentoring role • In-depth understanding and production experience with Kubernetes (GKE/EKS), Docker, and Helm • Extensive knowledge of major cloud platforms (AWS, GCP, Azure) and expertise in IaC tools like Terraform and Terragrunt • Proven experience with modern CI/CD methodologies and GitOps (Git) • Strong development experience in Python. Knowledge of JavaScript or TypeScript – an advantage • Production experience on Linux-based infrastructure and strong networking foundations (TCP/IP, DNS, Load-balancers) • Excellent interpersonal and communication skills in both English and Hebrew An advantage if you have: • Experience securing AI/LLM pipelines or utilizing AI tools for automated operations • Knowledge of OWASP Top 10 for LLMs and writing security procedures, policies, and compliance frameworks Additional Information We’re responsible for defining Wix's system architecture, developing and innovating enterprise solutions to meet our needs. We design cloud network and security standards and maintain our global infrastructure. Additionally, we design, develop, and operate security services and components across Wix.

Job Description As a DevOps Engineer, you’ll drive, scale, and optimize our cloud environment, focusing on resilient infrastructure, cost optimization, and automation. You'll collaborate with Security, internal interfaces, vendors, and partners to develop solutions that align with business goals. If you're an infrastructure expert with strong coding skills and a passion for cost-efficiency and communication, this role is for you. In your day-to-day, you will: • Design, implement, and maintain scalable, highly available cloud infrastructure with a focus on resilience, automation, and security • Analyze cloud expenditure, design cost-effective architectures, and drive FinOps strategies to optimize operational expenses • Develop tools, automations, and features driven by Security team requirements to ensure strong posture and compliance • Act as a key technical focal point when engaging with vendors, external partners, and internal engineering/product stakeholders • Implement and maintain Infrastructure as Code (IaC) practices to enable seamless deployment processes • Ensure full visibility into system health, performance, and operational metrics Qualifications • 5+ years of hands-on experience as a DevOps Engineer managing complex, high-availability production environments • Proficient with AI-assisted engineering tools (e.g., Claude Code, Codex) and comfortable using LLMs day-to-day to accelerate scripting, troubleshooting and infrastructure work • Experience integrating AI agents or LLM workflows into operational processes (incident response, runbooks, CI/CD, MCP-based tooling) – an advantage • Proven expertise in infrastructure, networking fundamentals, and Linux system internals • Proficient in programming/scripting with experience building operational tools and integrating security automation • Demonstrated ability to design cost-effective cloud architectures and optimize operational cloud budgets • Customer facing skills - comfortable interacting directly with vendors, partners, and internal teams • Hands-on proficiency with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or CloudFormation • Solid experience with automated agentic CI/CD pipelines and monitoring tools (e.g., GitHub, Datadog) • Hands-on experience with AWS cloud solutions and managed services – an advantage • Experience building, maintaining, or scaling high-volume/large-scale distribution environments – an advantage Additional Information We're Base44, a newly acquired part of Wix, on a mission to change how software gets built. Our AI-powered platform empowers anyone to create custom software applications using natural language—no traditional coding required. Operating like a startup within Wix, we're fast, collaborative, and focused on turning complex problems into simple, powerful solutions. We exist for creators, solo founders, startups, entrepreneurs, side hustlers, and everyone who wants to turn their ideas into reality. Whether you're launching a product, validating a concept, or exploring a hunch, Base44 helps you build it. We're growing fast, the opportunity is huge, and with your help, our user-driven growth can become unstoppable.

Description We are looking for a skilled and motivated DevOps Engineer to join our technology team. The ideal candidate will be responsible for designing, implementing, and maintaining scalable, secure, and reliable cloud infrastructure, CI/CD pipelines, and automation solutions that support our software development lifecycle. The DevOps Engineer will work closely with development teams in Israel and India, ensuring seamless collaboration, efficient delivery processes, and high system availability. This role requires strong technical expertise, excellent communication skills, and the ability to work effectively in a global and multicultural environment. Responsibilities: • Design, implement, and maintain CI/CD pipelines to support rapid and reliable software delivery. • Automate infrastructure provisioning, configuration management, and deployment processes. • Manage and optimize cloud environments and infrastructure resources. • Monitor system performance, availability, and security, proactively addressing issues and bottlenecks. • Collaborate with software development teams to improve release processes and operational efficiency. • Implement Infrastructure as Code (IaC) best practices. • Support containerized applications and orchestration platforms. • Ensure compliance with security, governance, and operational standards. • Troubleshoot production and non-production environments and provide timely resolutions. • Work closely with development teams in Israel and India, participating in planning, design reviews, and technical discussions. Requirements Qualifications: • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. • 3+ years of experience in a DevOps, Cloud, or Site Reliability Engineering (SRE) role. • Hands-on experience with cloud platforms such as Microsoft Azure, AWS. • Strong experience with CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD. • Experience with Infrastructure as Code tools such as Terraform, Bicep, or CloudFormation. • Proficiency in scripting languages such as PowerShell, Bash, Python, or similar. • Experience with Docker and Kubernetes. • Strong knowledge of source control systems, particularly Git. • Familiarity with monitoring and logging tools. • Good understanding of networking, security principles, and system administration. • Excellent verbal and written communication skills in English. Location: Tel Aviv, Hybrid We at Deloitte believe that diversity and inclusion among our people is a critical component of our success, which is why we cultivate an organizational culture that embraces diversity in all its forms. Description Hebrew אנחנו מחפשים מהנדס/ת DevOps מיומן/ת ובעל/ת מוטיבציה להצטרף לצוות הטכנולוגי. התפקיד כולל תכנון, יישום ותחזוקה של תשתיות ענן מדרגיות, מאובטחות ואמינות, תהליכי CI/CD ופתרונות אוטומציה התומכים במחזור חיי הפיתוח. מהנדס/ת ה־DevOps יעבוד/תעבוד בשיתוף פעולה עם צוותי הפיתוח בישראל ובהודו, במטרה לאפשר עבודה משותפת יעילה, לשפר את תהליכי האספקה ולשמור על זמינות גבוהה של המערכות. התפקיד דורש מומחיות טכנולוגית, כישורי תקשורת מצוינים ויכולת לעבוד בסביבה גלובלית ורב־תרבותית. תחומי אחריות: • תכנון, יישום ותחזוקה של תהליכי CI/CD לאספקת תוכנה מהירה ואמינה. • אוטומציה של הקמת תשתיות, ניהול תצורה ותהליכי פריסה. • ניהול ואופטימיזציה של סביבות ענן ומשאבי תשתית. • ניטור ביצועי המערכות, זמינותן ואבטחתן, וטיפול יזום בתקלות ובצווארי בקבוק. • שיתוף פעולה עם צוותי הפיתוח לשיפור תהליכי שחרור גרסאות והיעילות התפעולית. • יישום שיטות עבודה מומלצות בתחום Infrastructure as Code (IaC). • תמיכה ביישומים מבוססי קונטיינרים ובפלטפורמות תזמור. • הקפדה על עמידה בתקני אבטחה, ממשל ותפעול. • פתרון תקלות בסביבות ייצור ופיתוח ומתן מענה בזמן. • השתתפות בתכנון, בסקירות תכנון ובדיונים טכניים עם צוותי הפיתוח בישראל ובהודו. Requirements Hebrew • תואר ראשון במדעי המחשב, מערכות מידע, הנדסה או תחום רלוונטי. • לפחות 3 שנות ניסיון בתפקיד DevOps, בענן או ב־Site Reliability Engineering (SRE). • ניסיון מעשי בפלטפורמות ענן, כגון Microsoft Azure או AWS. • ניסיון משמעותי בכלי CI/CD, כגון Azure DevOps, GitHub Actions, Jenkins או GitLab CI/CD. • ניסיון בכלי Infrastructure as Code, כגון Terraform, Bicep או CloudFormation. • שליטה בשפות סקריפטים, כגון PowerShell, Bash, Python או שפות דומות. • ניסיון עם Docker ו־Kubernetes. • היכרות מעמיקה עם מערכות לניהול קוד, ובפרט Git. • היכרות עם כלי ניטור ולוגים. • הבנה טובה ברשתות, בעקרונות אבטחה ובניהול מערכות. • יכולת תקשורת מצוינת באנגלית, בכתב ובעל פה. מיקום: ת"א, מתכונת היברידית בדלוייט, אנו מאמינים שגיוון והכלה בקרב אנשינו הם מרכיב מרכזי בהצלחתנו, ולכן אנו מטפחים תרבות ארגונית המכבדת ומחבקת גיוון על כל צורותיו.

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/

Description #LI-Hybrid About Us DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. Location: Ra'anana / Tel Aviv The Role: We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms. If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems — we want to hear from you! Responsibilities: • Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure). • Manage and evolve virtualization platforms such as VMware and KVM (Proxmox). • Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices. • Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization. • Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI. • Automate infrastructure provisioning, configuration, monitoring, and operational workflows. • Build and maintain internal tools to improve developer experience and engineering productivity. • Ensure system reliability, performance, and cost optimization across cloud and on-prem environments. • Maintain high security standards, compliance, and operational best practices. • Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments. • Develop and maintain clear technical documentation. Requirements • 5+ years of experience in DevOps / IT Infrastructure / System Engineering roles in global hi-tech environments. • Strong hands-on experience with cloud platforms (AWS and Azure). • Proven experience with VMware / Nutanix / KVM environments. • Experience with Azure Entra ID (Azure AD), including SSO, MFA, Conditional Access, and identity lifecycle management. • Strong Linux administration skills. • Solid scripting abilities (PowerShell, Python, Bash, or similar). • Experience with automation and Infrastructure as Code tools (e.g., Terraform — advantage). • Familiarity with networking concepts: firewalls, VPNs, switches, WiFi, NAC, ZTNA (FortiGate — advantage). • Experience with enterprise MDM solutions (Microsoft Intune, MobileIron/IVANTI). • Hands-on experience with backup solutions such as Commvault Metallic, Veeam, or Commvault. • Ability to work in high-pressure, mission-critical environments. • Business-level English (written and spoken). Advantages: • Experience with Kubernetes, Docker, and containerized environments. • Knowledge of CI/CD pipelines and DevOps methodologies. • Relevant certifications (AWS/Azure Architect, RHCE, CCNA, MCSA). • Advanced networking knowledge (routing, switching, VPNs). • Experience with large-scale networking, telco, or cloud infrastructure environments. Soft Skills: • Strong service orientation and communication skills. • Independent problem solver with a proactive mindset. • Team player with excellent time management skills. More about DriveNets Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/ ;

NVIDIA is powering the world’s most advanced AI factories, where resilient infrastructure is essential to keep accelerated computing environments running at scale. The Agentic AIOps team is building a mission-critical observability and prediction platform - delivered as both a high-scale SaaS solution and a robust on-premises deployment for NVIDIA’s largest enterprise customers. As a Senior DevOps Engineer, you’ll help turn agentic AI capabilities for diagnosing and troubleshooting network and GPU infrastructure into secure, scalable, production-ready services. This role stands out through its end-to-end ownership across cloud and customer-managed environments, close partnership with software and AI engineers, and direct influence on the reliability of NVIDIA’s AI infrastructure. What You'll Be Doing: • Own the DevOps, infrastructure, security, release, and reliability lifecycle - from development environments and CI/CD through deployment, production readiness, and sustained operations. • Build and operate Kubernetes environments and Helm-based deployments for a Python, FastAPI, Node.js, and React microservices platform across SaaS and on-premises footprints. • Engineer GitLab CI/CD pipelines with automated testing, container builds, vulnerability scanning, and versioned image and Helm chart publication through JFrog Artifactory. • Automate infrastructure provisioning, configuration, upgrades, and routine operational workflows to accelerate delivery and improve engineering productivity. • Operate PostgreSQL, Temporal workflow services, and S3-compatible object storage with disciplined capacity planning, backups, recovery testing, and safe migrations. • Strengthen release reliability through deployment validation, reduced-downtime strategies, persistent-state protection, and recovery plans for active workflows. • Deliver actionable observability and security using OpenTelemetry, Datadog/Grafana, Langfuse, secrets management, identity integration, TLS, Kubernetes RBAC, network policies, and container hardening. • Partner with software and AI engineers to troubleshoot distributed systems, investigate incidents, define reliability targets, and improve platform performance, resource efficiency, and customer outcomes. What We Need to See: • Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience. • 5+ years of experience in DevOps, site reliability engineering, or platform engineering supporting distributed applications and microservices. • Strong hands-on experience with Kubernetes, Docker, and Helm, including networking, storage, workload scheduling, scaling, and troubleshooting. • Strong Linux administration skills and proficiency in Python and Bash for automation, plus experience with infrastructure as code and configuration tooling such as Terraform and Ansible. • Experience building and maintaining CI/CD pipelines, including runners, container registries, artifact management, automated quality gates, and secure release practices. • Practical experience operating PostgreSQL or comparable relational databases, including SQL, migrations, backup and restore, and performance troubleshooting. • Strong networking and observability fundamentals across TCP/IP, DNS, HTTP, TLS, load balancing, ingress, metrics, logs, traces, dashboards, and actionable alerting. • Sound understanding of secure infrastructure operations and incident response, with demonstrated ownership, cross-functional collaboration, and prioritization in an evolving environment. Ways To Stand Out From the Crowd: • Experience operating AI applications, agent platforms, or LLM services, including monitoring latency, failures, token usage, and cost. • Familiarity with Temporal, LangGraph, Model Context Protocol (MCP), Langfuse, ClickHouse, Redis/Valkey, or S3-compatible storage. • Deep experience with OpenTelemetry instrumentation and collectors, Datadog APM, or Prometheus/Grafana. • Experience with self-hosted Kubernetes, OpenShift, Kubernetes operators, CloudNativePG, or GPU clusters and AI data centers. • Experience building reproducible AMD64 and ARM64 container images, optimizing BuildKit pipelines, and securing the software supply chain. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are passionate about building mission-critical systems at the frontier of AI infrastructure, we want to hear from you. #LI-Hybrid

NVIDIA is looking for an outstanding engineer to join the Networking Software Cross DevOps team. The position is part of a team that supports sophisticated systems and integrations, maintains proprietary, open source and in-house tools, with the strive to improve development workflows and overall efficiency. NVIDIA is one of a kind company, crafting the future of computing and challenging the existing conventions. With your help we would forge the next generation of compute infrastructure multiplying the power of the CPU, GPU and DPU with the groundbreaking networking technology for the age of AI. What you’ll be doing: • Develop DevOps tools using NVIDIA, proprietary and open source technologies to help build better CI/CD workflows across NVIDIA. • Craft efficiency and usability improvements across NVIDIA product development environments to streamline release pipelines and processes across the company. • Be in the critical path of supporting hundreds of developers as well as intimately understanding the values of predictability, automation and reliability. • Design and build sophisticated automations and AI powered applications. What we need to see: • Bachelor's/Master’s degree in computer science or computer engineering or equivalent program • 5+ years of proven experience • Expert development ability in at least one scripting language (e.g. Python, Groovy or similar) • Profound understanding of the Linux operating system. • Deep understanding of containerization and cloud technologies architecture. • Outstanding problem-solving and critical thinking abilities. • Ability to self-manage, lead technically, and communicate effectively. Ways to stand out from the crowd: • Expertise in version control systems (e.g. Git, GitLab, GitHub, Gerrit) • Expertise with Jenkins or similar. • Strong interests towards groundbreaking technologies • Ability to take initiatives and drive them across multiple functional teams. • Familiarity with CSPs infrastructure and tooling. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role: The Senior DevOps Engineer will be responsible for the design, building, and maintenance of the infrastructure of our cloud platform. This role involves tackling challenging, large-scale infrastructure projects, with a focus on ensuring organizational reliability, scalability, security, and adherence to best practices. Main Roles and Responsibilities: • You will directly influence our platform's scalability to support growth and R&D efficiency • Own Infrastructure projects end-to-end, from research and design to implementation and rollout. • Lead Infrastructure improvements around high availability, resiliency, performance and cost efficiency. • Evaluate and implement new technologies that upgrade our infra posture. • Collaborate with other engineers to define standards, patterns and platform roadmap. • Serve as a technical expert in infrastructure decisions and a driver of engineering excellence. Job Requirements: • At least 7+ years of hands-on experience in DevOps in large-scale infrastructure companies. • Passion for elegant and effective technological solutions. • Independent learning capability and curiosity without boundaries. • Strong analytical and problem-solving skills. • Proven ability to lead complex technical projects independently. Technical requirements: • Advanced experience with Kubernetes and container orchestration. • Strong proficiency with IaC Frameworks such as Terraform and Terragrunt, CDK • Solid hands-on experience with AWS services. • Strong understanding of network fundamentals. • Experience with GitOps tools (ArgoCD) • Experience with advanced CI/CD pipelines Working at Aidoc Our Perks: • Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) • We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. • Amazing and healthy breakfasts and lunches prepared daily by our personal chef! • Stocked up kitchen & meal card • Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. • Amazing culture - collaborative, transparent & fun! • Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Career We are establishing a new role focused on bridging AI capabilities with our internal DevOps platform. You will build AI-powered tools and services that run on top of the DevOps platform developed by the infrastructure team. This role combines hands-on DevOps/platform engineering work with close collaboration with software development teams, enabling them to build, deploy, and operate AI solutions efficiently, securely, and in alignment with organizational standards. You will act as a technical enabler, helping teams bring AI-driven applications into production while ensuring best practices across architecture, compliance, DevSecOps, FinOps, and AI governance. The role also includes direct contributions to the platform itself. Your Impact • Enhance DevOps platform capabilities to support AI-based tools and workloads. • Work closely with development teams to enable and support AI application delivery end-to-end. • Assist in designing architecture and production-grade implementation of AI systems. • Lead and enforce DevSecOps practices, compliance requirements, and governance standards for AI solutions. • Develop platform components and internal services as part of the AI infrastructure layer. • Support production readiness, monitoring, performance, reliability, and cost optimization (FinOps). • Serve as a technical interface between multiple engineering teams. • Participate in future on-call rotations. Qualifications Your Experience • Strong experience of 5-7 years in DevOps / Platform Engineering roles. • Good understanding of the AI ecosystem and modern AI workflows. • Hands-on familiarity with AI tools such as Claude and other GenAI platforms. • Ability to present a personal AI-related project • Solid understanding of production systems and modern CI/CD practices. • Experience with cloud infrastructure, automation, and deployment pipelines. • Strong communication skills and ability to work across multiple stakeholders. Nice to have • Exposure to DevSecOps, compliance, and FinOps practices. • Experience building or integrating AI-driven systems in production environments. • Experience building tools or automations using Claude or similar GenAI tools. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Career We are looking for a highly skilled Senior DevOps Engineer to join our Backend Infrastructure Team within the Cortex Group. Operating at the intersection of deep platform engineering and high-scale production reliability, this high-visibility role acts as a vital bridge between our DevOps organization and the Cortex Platform team - embedded closely with dev and infrastructure groups to drive broad technical impact. Your Impact • Production Ownership: Drive end-to-end ownership, reliability, and scaling of a high-scale production SaaS environment deployed on GCP. • Infrastructure & Automation: Design and execute Infrastructure-as-Code (Terraform) to orchestrate production and dev environments, building CI/CD pipelines (Jenkins) and automated remediation tools. • Taking part of a highly skilled team, which spans from customer facing features to databases configuration and HA & DR ownership. • Platform & Data Governance: Partner with development teams to optimize distributed platform components, backend architectures, and databases. • Cross-Organizational Leadership: Collaborate with application teams, QA, and leadership to drive technical standards, platform efficiency, cost optimizations, and cross-team processes. • Platform backend shared components and architecture • On-Call Responsibilities• Participate in an on-call rotation (including weekends and holidays) supporting mission-critical Cortex platform infrastructure. • Apply strong investigative skills to troubleshoot production issues, connect complex symptoms across distributed systems, and drive root-cause resolution. • Lead customer-facing Root Cause Analyses (RCAs), translating complex technical findings into actionable post-mortem improvements. Qualifications Your Experience: • 5+ years of hands-on experience in a DevOps, Platform, or Site Reliability Engineering role managing high-scale production environments. • Cloud & Orchestration: High proficiency with cloud (preferably GCP), Kubernetes, Docker, and infrastructure automation using Terraform. • Development & Scripting: Strong software engineering mindset with solid proficiency in Python (Go is a plus). • Operating Systems & Networking: Deep proficiency with Linux internals, troubleshooting, and system performance tuning. • Technical Leadership: Proven ability to lead complex technical designs, drive cross-functional projects, and communicate effectively with stakeholders across R&D. Nice to have: • Database Infrastructure: Hands-on experience working with databases (MySQL, Postgres, Redis, etc.). HA & DR. • AI Integration: Experience incorporating AI into daily workflows (CI/CD, automated debugging agents, architecture design). • Security Domain: Prior experience in the cybersecurity field or implementing cloud security tools. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Career: We're looking for a Senior DevOps Engineer with a strong Developer Experience (DevEx) mindset, someone who genuinely enjoys making developers more productive by building and improving the tools, infrastructure, automation, and workflows they use every day. You will work across CI/CD, developer tooling, automation, infrastructure, observability and productivity. Your primary focus will be making development and delivery faster, simpler, more reliable, and more cost-effective. We need someone who can independently identify developer pain points, proactively discover opportunities for improvement, and turn them into scalable engineering solutions. You will be expected to measure the impact of your work and continuously improve critical metrics such as CI feedback time, pipeline reliability, deployment time, infrastructure cost, and overall developer productivity. This role is a perfect fit for someone who thinks far beyond just "keeping the infrastructure running" and is excited about revolutionizing the entire engineering experience. Your Impact: You will tackle high-impact engineering challenges across our platform. Representative areas you will own and work on include: Optimize CI/CD Pipeline Velocity & Stability • Improve CI Stability: Leverage AI to automatically detect recurring test failures, dynamically disable problematic tests, and open Jira tickets for follow-up. • Automate Workflows: Utilize AI to automate merge conflict resolutions and keep the merge train moving smoothly. • Accelerate CI Velocity: Architect workflows to parallelize work both across jobs and within jobs. Introduce highly effective caching strategies and local Artifactory mirrors to drastically reduce build and dependency-fetch times. • Optimize CD: Reduce container image sizes and accelerate deployment times. Partner with QA to introduce and streamline automated regression testing against tenants. Drive Repository Security & Maintenance • Improve Security Posture: Automate the identification and remediation of Go and Python dependencies with known CVEs. • Automate Maintenance: Design systems to automatically handle Go and Python version upgrades across the codebase. • Ensure Performance: Automate performance testing to proactively detect and alert on performance regressions before they hit production. Cloud Infrastructure & Cost Engineering • Reduce Infrastructure Costs: Identify and implement innovative opportunities to reduce overall infrastructure and resource consumption. • Resource Efficiency: Introduce mechanisms to make our "slim tenants" even more resource-efficient for development and testing. • Smart Observability: Re-architect our logging strategy by streaming GCP logs to more cost-effective sinks instead of relying exclusively on Cloud Logging. • IaC Governance: Act as a gatekeeper for infrastructure quality by reviewing Terraform Merge Requests (MRs) for correctness, efficiency, maintainability, and strict adherence to engineering standards. Qualifications Your Experience: • 5+ years of hands-on experience in DevOps, Platform Engineering, or SRE roles, preferably within data-heavy or high-scale environments. • The DevEx Mindset: A genuine passion for your job and a drive to build tools that make other engineers happier and more productive. • Coding & Automation: Strong programming skills in Python and Go. You treat infrastructure and automation as software engineering disciplines. • Cloud & IaC Mastery: Deep expertise in GCP (Google Cloud Platform) or AWS and advanced proficiency in Terraform. • CI/CD & Containers: Extensive experience building highly optimized CI/CD pipelines and optimizing Docker/Kubernetes deployments. • Forward-Thinking: An interest in or experience with leveraging AI tools to solve traditional operational bottlenecks. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Impact As a Senior Principal DevOps Engineer, you will serve as a visionary technical leader within the Cortex Cloud DevOps group. You will define the technical strategy and architecture that ensures our massive-scale production services remain highly reliable, exceptionally secure, and performant. You will pioneer the integration of AI-driven capabilities into our daily operations, establishing elite engineering standards and fundamentally transforming the workflows of hundreds of developers through autonomous agents and intelligent procedures. Your Career • Architectural Vision & Scalability: Design and scale massive, resilient distributed systems and global Kubernetes infrastructure, implementing robust observability and monitoring frameworks. • AI-Driven Transformation: Revolutionize the SDLC by integrating Generative AI, autonomous agents, and LLM-powered workflows into CI/CD and self-healing systems to accelerate developer velocity. • Technical Leadership & IaC: Define architectural standards, lead GitOps/IaC (FluxCD/Terraform) strategies, and mentor Senior/Staff engineers across the R&D organization. • Developer Experience & Efficiency: Build and champion AI-powered platforms that automate troubleshooting and eliminate friction. Partner directly with Engineering Directors, Principal Architects, and Product Management to align infrastructure initiatives with business goals, optimizing for scale, high availability, and multi-million-dollar cost-efficiencies. • Security & Compliance: Embed "Security by Design" principles into the platform architecture to ensure platform integrity without sacrificing delivery speed. Qualifications Your Experience • 10+ years of progressive experience in DevOps, SRE, Platform, or Infrastructure Engineering roles, with a significant portion at the principal/ tech leadership/ staff, or architectural level. • System Design from Scratch: A proven track record of designing, building, and deploying large-scale, highly available distributed systems and cloud platforms from the ground up. • AI-Powered Automation: Proven experience designing and integrating AI-driven systems, autonomous agents, and LLM-based tools into engineering workflows to optimize development processes, procedures, and overall organizational efficiency. • Communication: Exceptional interpersonal skills, capable of articulating complex architectural and AI workflow concepts clearly to both deeply technical peers and executive leadership. • Cloud & IaC Mastery: Expert-level proficiency with GCP (or equivalent major cloud providers) and deep architectural experience with Terraform. • Advanced Container Orchestration: Deep, internal knowledge of virtualized and containerized environments, with architectural-level expertise in scaling Kubernetes, extending it via custom operators, and automating complex operational logic. • Software Engineering Approach: Advanced coding and automation skills in Python or Go. You treat infrastructure as a software engineering discipline and can build custom tooling/services when off-the-shelf solutions fall short. • Proven Leadership: Demonstrated ability to lead complex, cross-team technical initiatives from conception to delivery, including setting technical roadmaps and driving consensus among stakeholders. • OS/Systems Expertise: Mastery of Linux systems, including kernel tuning, advanced networking, and performance troubleshooting. Nice to Have: • Deep expertise in managing and scaling stateful workloads and distributed databases (e.g., Cassandra, ScyllaDB, MemSQL, or MySQL) in containerized environments. • Experience contributing to open-source infrastructure projects, or presenting at major tech conferences. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Career: • Own and continuously improve AWS production infrastructure for scalability, reliability, security, performance, and cost. • Run and evolve Kubernetes environments that support fast, safe product delivery. • Drive developer velocity and production safety through better CI/CD pipelines, release workflows, deployment visibility, and GitOps practices. • Improve observability and incident response - reduce alert noise and raise signal quality. • Design and ship AI-assisted operational agents that change how engineers work - triaging monitoring alerts, summarizing incidents, proposing fixes, onboarding new services, answering questions and requests. This is a core part of the role, not a side project. • Build automation and self-service tooling that removes manual work from provisioning, monitoring, incident response, and developer workflows. • Analyze operational data across incidents, alerts, deployments, infra health, and cost to find reliability gaps, inefficiencies, and automation opportunities. • Partner with engineering, security, product, and leadership to remove bottlenecks and support safe production growth. • Evaluate and introduce new tools and AI-assisted approaches, balancing innovation with reliability, cost, and operational simplicity. Your Impact: You'll help scale production systems, improve deployment velocity and reliability, reduce operational overhead, and build automation and AI workflows that help engineering teams move faster and operate more efficiently. This role is a strong fit for someone who enjoys ownership, collaboration, and operational innovation. Qualifications Your Experience: • 4+ years operating production infrastructure in AWS. • Deep hands-on experience with Kubernetes, Helm, ArgoCD, Terraform, and CI/CD. • Strong experience with observability and alerting in Datadog or comparable platforms. • Solid grounding in Linux, networking, cloud security, and reliability best practices. • Strong scripting skills in Python and Bash. • Proven ability to own platform projects end-to-end, from design through production operation and ongoing improvement. • Strong troubleshooting across distributed systems, Kubernetes, CI/CD, and live incidents. • Collaborative mindset - comfortable working across engineering, security, product, and leadership. • Comfort in a fast-paced, high-ownership environment where priorities shift but production quality doesn't. • Genuine interest in applying AI, automation, and intelligent workflows to operational work. Key qualities • Ownership-driven - You take responsibility for the systems you build and operate, from design through production support and continuous improvement. • Collaboration - You work effectively across engineering, security, product, and leadership to align priorities and drive shared outcomes. • Developer experience focus - You are committed to reducing friction for engineering teams through thoughtful automation, self-service workflows, and reliable internal tooling. • Innovation balanced with pragmatism - You actively explore new approaches, particularly in AI-assisted operations, while weighing them against reliability, maintainability, and operational simplicity. • Security mindset - You design and build with least privilege, auditability, and production safety as foundational principles rather than afterthoughts. • Clear communication - You articulate infrastructure, reliability, cost, and security tradeoffs precisely to both technical and non-technical stakeholders. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We are looking for an experienced DevOps Engineer to join our team. Our DevOps team collaborates closely with every engineering unit within Upwind, delivering CI/CD and scalable infrastructure for all Upwind features. We leverage valued OSS solutions and employ a modern tech stack, including Kubernetes, Terraform, Argo, Helm, VictoriaMetrics, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. Responsibilities: • Take part, end to end on all features within upwind’s infrastructure, CI\CD pipelines and product features • Be part of our product’s architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product. • Plan and push to scale in DevEx and infrastructure efforts • Be responsible for stable and scalable execution of product feature's infrastructure • Monitor and maintain Production infrastructure that makes Upwind's magic happen. Requirements • +3 years of experience as a DevOps engineer on a production high-scale distributed system, working in a Linux environment. • Hands-on experience with containerized environments - Kubernetes and its OSS ecosystem is used all over Upwind’s infrastructure. • Experience with maintaining and scaling various database, and queueing infrastructures (Elasticsearch, MySql, Neo4j, Postgres (Timescale), RabbitMQ, Redis or similar technologies) • Extensive experience with working in cloud environments on a Production system • The mindset of automation - push to automate as many of manual processes as possible • In-depth knowledge of build/release systems, CI/CD pipelines. (Github actions, ArgoCD) • Proven, hands-on experience with infrastructure as code in production environments (Terraform, Terragrunt,CDK etc..) • Proven hands-on experience with Helm templating language • Scripting/programming skills with Python/Bash/Go. • An innovative approach, with the ability to quickly learn technologies, and implement cutting edge technologies • A strong sense of ownership and accountability Nice to have: • Deep knowledge of working with Prometheus monitoring stack (Grafana, AlertManager, Victoria Metrics) • Hands on experience with multiple cloud vendors

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute. What You'll Be Doing As a DevOps Engineer at ScaleOps, you'll be a technical authority in everything cloud-native - leading feature development, making key architectural decisions, and collaborating with cross-functional teams to drive innovation. • Take an active role across all DevOps areas: ScaleOps's infrastructure and cloud environment, tools, services, and uptime. • Contribute to the product's architectural and infrastructure design; evaluate and implement new cloud technologies and open-source tools to improve delivery and availability of the product. • Plan and drive the growth and scale of data capacity across products. • Own the smooth, production-grade execution of delivered solutions. What You'll Bring • 6+ years of experience as a DevOps engineer on a high-scale distributed system, working in a Linux environment. • Proven hands-on experience with containerized environments and microservices; Docker and Kubernetes required. • Extensive experience working in a multi-cloud environment. • A mindset geared toward automating manual work away. • In-depth knowledge of build/release systems and CI/CD pipelines. • Scripting/programming skills in Python, Bash, or Go. • An innovative approach, with the ability to quickly learn new technologies. • A strong sense of ownership and accountability. • Full professional fluency (written and verbal) in both Hebrew and English. • (Nice to have) Experience in cloud cost optimization or resource management.

Job Description • Operate and modernize development infrastructure across on-premises and cloud environments, contributing to cloud migration and adoption of infrastructure as code. • Build and evolve CI/CD pipelines and build infrastructure to accelerate development, testing, and release workflows. • Maintain core development tools and infrastructure services, including GitLab, Artifactory, RabbitMQ, and Temporal. • Deploy, manage, and troubleshoot containerized workloads using Docker, Kubernetes, and Helm. • Develop automation, internal tools, and integrations using Python, Bash, or Go. • Support R&D teams, resolve service requests, and participate in the team’s duty and on-call rotation for critical development services. • Strengthen monitoring, logging, and alerting, investigate incidents, and automate recurring operational work. • Apply AI engineering tools and agentic workflows to accelerate daily tasks and develop internal automation. • Collaborate with development and security teams, maintaining clear documentation and operational runbooks. Qualifications • 3+ years of experience in DevOps, platform engineering, infrastructure engineering, or a related role. • Strong Linux administration skills and practical troubleshooting experience across systems, networking, and development infrastructure. • Strong scripting and automation skills in Python or Bash. • Experience building and maintaining CI/CD pipelines using tools such as GitLab CI or GitHub Actions. • Hands-on experience with Docker and Kubernetes. • Practical experience with a public cloud platform, preferably AWS. • Experience with infrastructure as code or configuration management tools such as Terraform or Ansible. • Experience with monitoring, logging, and production troubleshooting. • Strong practical proficiency with AI engineering tools, including coding assistants and agentic workflows; the ability to integrate them into engineering processes, assess output quality, and stay current with industry innovations and best practices. • A service-oriented approach, clear communication, and ownership of issues through resolution. • The ability to independently research unfamiliar technologies and implement practical solutions. Nice to Have • Experience migrating on-premises workloads to the cloud or operating hybrid environments. • Experience with Helm and GitOps tools such as Argo CD or Flux. • Experience operating GitLab, Artifactory, RabbitMQ, or Temporal. • Familiarity with Prometheus, Grafana, or centralized logging platforms. • Software development experience in Python or Go, including internal developer tooling or AI agents. • Experience with virtualization or Windows/macOS administration.

Job Description • Own and evolve our cloud infrastructure across multi-region production environments, end-to-end. • Lead our GitOps deployment model - designing and maintaining declarative, automated deployment workflows with zero manual gates. • Build, maintain, and optimize CI/CD pipelines with a strong focus on developer experience, reliability, and speed. • Initiate, implement, and champion an AI-first DevOps & SRE ecosystem - identifying opportunities, building AI agents and intelligent automation, and driving their adoption across engineering operations. • Develop automation frameworks for provisioning, scaling, observability, and incident response, leveraging AI-powered tooling and agentic workflows to reduce toil. • Operate and improve our observability platform: metrics, logs, alerting, dashboards, SLOs/SLIs, and on-call tooling. • Champion zero-trust secrets management and credential-less authentication patterns across the stack. • Partner with architects and engineering leadership on cloud cost optimization, availability, and performance. • Build internal tooling and automation that multiplies engineering velocity across the organization. Qualifications • 5+ years of hands-on DevOps experience in a SaaS product environment - Must. • Demonstrated initiative in applying AI to engineering operations - designing and building AI agents, agentic workflows, LLM-powered automation, or Model Context Protocol (MCP) integrations that reduced operational toil and improved production reliability, quality, or velocity - Must. • Strong scripting and programming skills - Python and Bash for automation, tooling, and AI agent development; Go is a plus. • Strong motivation to continuously learn and adopt emerging technologies, and to share that knowledge across the team. • Deep, hands-on AWS expertise; multi-cloud (AWS, GCP, Azure) experience is a strong plus - Must. • Strong understanding of containers and orchestration - Docker, Kubernetes, including workloads, networking, service mesh (Istio), Helm/Kustomize, and autoscaling (KEDA, HPA, VPA). • Strong experience with:• Infrastructure-as-Code - Terraform, Crossplane, and/or cloud-native declarative tooling. • GitOps principles and tooling (ArgoCD or equivalent). • CI/CD platforms - building reusable, scalable, security-hardened pipeline templates (GitHub Actions or equivalent). • Secrets management - dynamic injection, IRSA/Workload Identity, avoiding long-lived credentials. • Experience embedding security into CI/CD: vulnerability scanning, SBOM generation, and supply chain security (Trivy, Grype, Syft, JFrog Xray). • Solid observability knowledge - OpenTelemetry, Prometheus, Grafana, Datadog, ELK/OpenSearch, distributed tracing. • Hands-on experience with AI/ML workloads or LLMOps infrastructure - a significant advantage. • Cost-awareness (FinOps) - treating cloud spend as a core engineering metric. • Clear communication skills - able to align engineers, security teams, and leadership around infrastructure decisions. • A strong sense of ownership - proactively identifying gaps and driving improvements.