Site Reliability Engineer jobs in Israel

Istra is a successful leading Algo-Trading research company specializing in developing and deploying High Frequency Trading strategies (HFT). We use state of the art technology and algorithms that are developed by our elite highly-skilled group of experienced researchers and developers in a challenging, pleasant, and rewarding work environment. We are seeking a knowledgeable, purpose-driven Database Reliability Engineer to join our infrastructure and operations team. In this role you will be: Design, implement, configure, and maintain database platforms, including MySQL, Redis, Elasticsearch, InfluxDB, etc. within Linux environments. Manage databases deployed across both on-premises infrastructure and cloud environments. Support developers and users with query design, troubleshooting, and performance optimization. Monitor database health, capacity, and performance, proactively identifying bottlenecks and recommending improvements. Maintain database availability, reliability, data integrity, security, backup, and recovery processes. Work closely with developers, researchers, and infrastructure teams to resolve operational issues and improve database services. Assist with the operation and optimization of large-scale, high-throughput database clusters and distributed data platforms. Contribute to the planning, documentation, automation, and continuous improvement of database operations and procedures. Requirements What you'll need to succeed: 8+ years of experience in database engineering within large-scale, production-critical environments. Strong hands-on expertise in database infrastructure, automation, reliability, and performance optimization. Deep knowledge of database architecture, Linux systems, and system-level troubleshooting. Proven experience with MySQL, Redis, and InfluxDB. Working knowledge of ClickHouse, PostgreSQL, and Elasticsearch. Strong scripting or programming skills for infrastructure automation. Experience using AI agents or AI-assisted tools in complex technical environments. Bachelor's degree in Computer Science, a relevant technical certification, or equivalent practical experience. A practical and analytical approach to problem-solving, with strong communication skills and a high level of ownership. Advantage: Experience applying modern DevOps practices within complex environments.

Join the technology team of a leading fintech organization and take part in ensuring the stability, reliability, and performance of large-scale, business-critical production systems. As a Technical Integrator SRE, you'll work closely with development, infrastructure, and operations teams, supporting systems throughout the development lifecycle, from early planning and architecture to production operations. You'll play a key role in troubleshooting complex incidents, improving monitoring capabilities, and driving continuous reliability improvements. What You'll Do: Serve as a central technical interface between development teams, operations, infrastructure, and external vendors. Work closely with development teams from early planning and architecture stages to ensure production readiness, monitoring, and system reliability. Investigate, troubleshoot, and resolve complex production incidents across distributed systems and Microservices environments. Build and maintain monitoring systems, dashboards, and alerts, and lead data-driven Root Cause Analysis (RCA). Drive continuous improvements in system stability, performance, automation, and operational efficiency. Leverage advanced AI tools such as Claude and Kiro to improve troubleshooting, automation, and reliability workflows. Requirements: 3+ years of experience in SRE, DevOps, Production Engineering, or similar technical roles. Strong technical background in DevOps, production environments, and complex system troubleshooting. Hands-on experience with Splunk and Dynatrace for production monitoring and troubleshooting. Experience building and managing monitoring systems, dashboards, and alerts. Good understanding of software development processes, Microservices architecture, and system integrations. Experience working with databases such as MongoDB, DocumentDB, and SQL. Familiarity with AWS and OpenShift (OCP) environments. Familiarity with AI development and operations tools such as Claude or Kiro - a significant advantage. Strong problem-solving skills, technical curiosity, independence, and a high sense of ownership. Excellent communication skills, assertiveness, and the ability to collaborate effectively with cross-functional teams. Ability to work under pressure and availability to support critical production incidents outside regular working hours. Bachelor's degree in a relevant field – an advantage.

Description About Port At Port.io, we are building an open and flexible Agentic Engineering Platform for modern engineering organizations. Following our recent $100M Series C funding round, we are in a phase of rapid hypergrowth with strong enterprise momentum. We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents. By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability. As a product-led company, we believe in building platforms that fundamentally shape how modern engineering organizations operate. Why we’re looking for you: We’re looking for a Senior Site Reliability Engineer to join our Platform team and own the reliability of Port’s production platform. For many of our customers, Port is a critical part of their infrastructure, and they count on it to be reliable and performant. Your focus will be reliability and observability. You’ll help teams monitor their services efficiently, set best practices for monitoring defaults and high value metrics, define SLOs and error budgets, and standardize how we investigate incidents and learn from them. You’ll be the person who defines what “reliable” means for each service, measures it, and makes sure we keep that promise. Success here looks like fewer and shorter incidents, alerts that people trust, error budgets that guide decisions, and dev teams that ship confidently to production. Your responsibilities will include: • Define and own SLIs, SLOs, and error budgets for Port’s critical services, together with the teams that own them, and use them to guide release and prioritization decisions • Evolve our observability stack - metrics, logs, traces, and alerting - so issues are caught before customers notice • Lead incident response and postmortems - coordinate mitigation and communication during incidents, run blameless postmortems, and track follow-up actions to completion • Shape and take part in the on-call rotation - runbooks, escalation paths, and alert hygiene for a sustainable on-call experience • Partner with R&D teams on production readiness - review new services and major changes for reliability, scalability, and operability before launch • Drive capacity planning and performance work - load testing, finding bottlenecks, and scaling the platform ahead of customer growth • Strengthen system stability with AI - use Port and our monitoring stack to give incident-response agents the context and tools to investigate incidents, suggest fixes, and resolve them, reducing MTTR and improving how we handle incidents. Who you’ll work with: • You’ll report to the Platform team lead and work alongside your Platform team teammates on the infrastructure and delivery foundations that reliability depends on. • You’ll partner with R&D teams to set reliability targets and improve how their services behave in production. • You’ll work with FinOps where relevant, to balance reliability and performance with cost. Requirements What we’re looking for: • 5+ years of experience in SRE, production engineering, or a DevOps/platform role with clear ownership of production reliability. • Hands-on experience operating production workloads on Kubernetes in AWS (or a similar cloud provider). • Strong experience with observability tooling such as New Relic, Sentry, and OpenTelemetry, or similar, including designing meaningful alerts and dashboards. • Practical experience defining and working with SLIs/SLOs and error budgets. • Experience with Infrastructure as Code and CI/CD, such as Terraform and GitHub Actions, or similar. • Good understanding of distributed systems, networking fundamentals, and common failure modes of cloud-native SaaS platforms. • Experience operating AI or agent-based systems in production. • Solid coding skills in at least one language (e.g. Python, Go, or TypeScript/Node.js) for automation and tooling. • A track record of driving reliability improvements across teams, including without formal authority, and mentoring other engineers. • Hands-on experience with incident response and postmortems. • Excellent communication skills, especially under pressure. • Fluent Hebrew and English. Nice to have: • Experience with load and performance testing at scale. • Experience with chaos engineering or structured failure testing. • Experience operating databases, queues, or streaming systems in production.

About the role As april's SRE / DevOps Lead, you'll own the reliability, scalability, and security of the infrastructure that powers our platform — a system trusted by leading wealth managers, banks, and consumer fintechs to handle some of the most sensitive financial data their users have. You'll work HO (80%) and lead a team of 1 SRE and 1 ITSecOps (20%) and partner closely with product engineering, security, and our compliance partners to make sure what we build runs the way our customers (and the IRS) expect. This is a hands-on lead role. You'll set the technical direction for our cloud platform, deployment pipelines, observability, and on-call practices — and you'll write the code, configs, and runbooks that get us there. You'll also own april's IT function (identity, endpoints, SaaS) at a tighter scope, keeping the company secure and productive as we grow. What you'll do • Lead and grow a team of 1 SRE and 1 ITSecOps, setting direction across SRE, DevOps, and IT • Own the architecture, performance, and reliability of april's GCP-based platform — Kubernetes, Terraform, CI/CD, networking, and scale • Define and uphold our SLOs, infra budgets, on-call priorities, and incident response practice • Build and operate our observability stack so engineers can find and fix problems before customers feel them • Partner with engineering and security on the controls, evidence, and audits that keep us SOC 2, SOC1 and STIG compliant and IRS-authorized • Plan and execute capacity, load testing, and game days for tax season — the highest-stakes window of our year • Own corporate IT: identity (Okta), Google Workspace, endpoint management (Jamf / Kandji), and the SaaS stack used across the company • Set the standard for how we ship: fast, safe, observable, and reversible What you'll bring • 6+ years of SRE / DevOps / Platform Engineering experience, including 1y+ leading or managing engineers • Deep, hands-on experience running production workloads on GCP — Kubernetes (GKE) and Terraform at real scale, not just consumed off-the-shelf • Strong programming or scripting fundamentals (Go, Python, or similar) and a track record of automating processes • Experience operating in a SOC 2 environment and supporting external audits; comfort working alongside compliance and security partners • Experience with regulated workloads (IRS, financial services, healthcare, or similar) — or a clear, demonstrated desire to go deep on what that means • Strong observability instincts: you've built dashboards, alerts, and SLOs in Datadog (or equivalent) that engineers actually rely on • Calm, clear leadership during incidents — and a coaching mindset for your team between them • Clear written and spoken English; comfortable collaborating with our NYC team across time zones Bonus points • IRS e-file ecosystem, FTI handling, or fintech-grade data residency experience. • Experience preparing infrastructure for a certification milestone (SOC 2 Type II, ISO 27001, PCI, SOC1, STIG). • FinOps / cloud cost management experience. • Database operations at scale (Postgres, Spanner, or similar). • Experience standing up or scaling an IT function at a high-growth startup. • 3+ years of experience as a software engineer - Advantage! How we work • Mission first. Every decision ties back to building a smarter, simpler tax experience. • Team over ego. We value contribution over credit and bring others along. • Win with determination. We pursue outcomes others assume are impossible — and we iterate until we get there. About april april is the only embedded, year-round tax platform built to power smarter financial decisions. From filing to planning to onboarding, april’s white-labeled tools bring real-time tax intelligence into the platforms people already use, helping users understand the impact of every paycheck, equity transaction, or income shift, and stay on top of tax payments throughout the year. Built to handle even the most complex tax situations, april’s AI-powered tax engine ingests data directly from partner apps to deliver accurate outcomes in record time—making tax planning and filing more connected, contextual, and accessible than ever. With API-first infrastructure and seamless data integrations, april helps partners deliver more value, deepen loyalty, and turn taxes into a strategic edge—for their clients and their business.

Description Paragon is on a mission to transform the world of cyber intelligence. Based in Tel Aviv, our innovative team is made up of top-tier talent who are passionate about making an impact. At Paragon, you’ll find the freedom to think boldly, collaborate with purpose, and grow alongside a team united by a shared mission - striving for excellence, and always looking out for one another. Responsibilities • Design and develop infrastructure and reliability solutions for complex customer environments, from architecture and development through production deployment. • Develop automation for deployment, configuration, provisioning, and lifecycle management of our product and its infrastructure. • Design and build observability solutions that provide deep visibility into system health, performance, reliability, and customer experience. • Develop metrics, logs, events, dashboards, and alerting mechanisms to identify failures, understand system behavior, and proactively detect reliability issues. • Build internal tools for debugging, diagnostics, troubleshooting, and operational visibility across application, container, system, and network layers. • Investigate complex system and networking issues end-to-end, perform deep root cause analysis, and drive issues to resolution. • Work closely with R&D, Deployment, and Support teams to improve observability, reliability, scalability, and operational efficiency. Requirements • 3+ years of hands-on experience in SRE, DevOps, or infrastructure engineering, working with production environments. • Strong software engineering skills in Python, including developing production-quality solutions and automation. Bash scripting experience. • Strong Linux knowledge, including system troubleshooting, networking, processes, configuration, and kernel-level behavior. • Strong understanding of networking and troubleshooting, including TCP/IP, DNS, routing, NAT, VPNs, firewalls, and proxies. • Hands-on experience with Kubernetes, including cluster troubleshooting, networking, deployments, and Helm. Experience creating and maintaining Helm charts. • Strong experience with observability, including metrics, logs, dashboards, alerting, and end-to-end troubleshooting. Experience with Prometheus, Grafana, Elastic, Fluentd/Vector, or similar technologies. • Experience with infrastructure automation, using Ansible or similar technologies. • Strong debugging, root cause analysis, and problem-solving skills, with the ability to troubleshoot complex issues across multiple infrastructure layers. • Strong ownership, self-management, and technical curiosity, with the ability to independently investigate and drive complex technical problems to resolution. • Strong communication and collaboration skills, working effectively across R&D, Deployment, Support, and other engineering teams. Nice to have: • Experience with Terraform / Terragrunt or similar Infrastructure-as-Code technologies.

Meet the Team You will be a part of our System Reliability Team working on Cisco Silicon One products. We encompass thoughtful release process planning and monitoring, detailed testing, and implementing automation through release processes. Part of our everyday work includes ensuring the stability of the development branch and testing supervision. We bridge the gap between our customers and developers, making sure that communication flows smoothly and that any issues are resolved swiftly. Our contributions are essential to the smooth operation of our quality, releases and the overall satisfaction of our users. Your Impact In this role, you will play a critical part in release preparation to ensure successful deployments. You will facilitate communication across teams, ensuring everyone is aligned on release objectives and deliverables. Your responsibilities will include conducting daily regression testing and monitoring system performance to maintain high standards of quality. When failures are identified, you will coordinate with the appropriate development or infrastructure teams to assign and resolve issues efficiently. You will collaborate closely with customer-owners and developers to streamline processes, and you will continuously refine and expand the scope of regression testing and release procedures. By actively participating in continuous integration and continuous deployment (CI/CD) initiatives, you will help automate and enhance the development pipeline. Your analytical skills will be key as you analyze and report on issues discovered in released software, driving ongoing improvements. Additionally, you will develop automation to monitor and triage failures found during daily regressions, serving as the primary point of contact for any problems or failures encountered in development sanity execution. Your in-depth understanding of the CI/CD system and related products will be vital in consolidating knowledge and troubleshooting issues. As the system evolves, you will help manage its growth by analyzing, designing, and developing new approaches to maintain the quality of releases Minimum Qualifications • Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering and at least 3 years of experience in an engineering role, or a Master's degree. • 3+ years of experience using continuous integration and continuous deployment (CI/CD) practices and tools (e.g., Jenkins, GitLab CI, etc.). • 3+ years of experience coding in C++ or Python. • 3+ years of experience using regression testing tools or frameworks (e.g., Selenium, pytest, etc.). • 3+ years of experience performing both manual and automated software testing. Preferred Qualifications • Experience with quality assurance (QA) processes, testing methodologies, and test automation. • Familiarity with various testing scenarios, including performance, functional, stress, and security testing. • Experience documenting testing processes, adhering to defined procedures and test plans, and reporting test results. • Ability to effectively prioritize tasks and manage time in a fast-paced environment. • Strong communication skills, with the ability to collaborate with team members and stakeholders across global teams. • Demonstrated ability to combine broad system understanding with a strong focus on quality. Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking. We’re looking for a Senior SRE to join our Infrastructure team in Tel Aviv. If you love digging deep into distributed systems, optimizing production environments, and building the automation that keeps everything running smoothly at scale, we’d love to talk. Responsibilities: • Own the reliability, availability, and performance of our production environment. • Lead high quality effort and long term solutions that will improve stability and resiliency of our production environments. • Work closely with dev teams to review architecture, influence system design, and ensure services are built to be observable and scalable. • Handle capacity planning, system tuning, and infrastructure cost/performance optimization. • Maintain and improve our GitOps-driven deployment pipelines. Requirements: • 7-8+ years of hands-on experience in an SRE or DevOps role, managing production environments at scale. • Deep experience with AWS (architecture, security, and best practices). • Strong programming skills in Python, Go, or TypeScript. • 3+ years working with Infrastructure as Code - AWS CDK or Terraform. • Production experience with Kubernetes (EKS) and microservices architecture. • Hands-on experience with CI/CD and GitOps tools (GitHub Actions, ArgoCD). • Solid understanding of Linux internals and networking fundamentals. • Good communication skills in English and Hebrew. Nice-to-Have: • Experience setting up or managing observability stacks (Datadog, Coralogix, Prometheus, Grafana). • Experience with Crossplane or advanced Helm usage. • Background working in a SaaS company. What we offer: - A culture that values product ownership, collaborative architectural planning, and building wins for your resume/portfolio as much as for the company. - Smart, dynamic people with whom you can share the experience of building something unique. - Competitive salary with opportunities for growth and advancement. A Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Algorithmic Trading Team is looking for a Site Reliability Engineer for our Tel Aviv office. The SRE team is critical to the success of our trading – ensuring that our production trading systems, test environment and research pipeline are working flawlessly. We’re looking for a Site Reliability Engineer who thrives at the intersection of software, trading and infrastructure – someone who creates observability that surfaces issues before they ever cause a problem, owns the response when things go wrong, and relentlessly drives automation that eliminates friction and keeps our team focused on our goals. What you will do: • Work with software engineers and traders to provide 24/7 first line support of our trading, testing, and research environment. • Proactively monitor and identify issues before they impact trading. Define and automate observability around application SLAs and build anomaly detectors that surface problems early. • Oversee and maintain our test trading environment. Keep the environment running smoothly and pursue automation of routine interventions required to maintain a stable test platform for development. • Standardize CI/CD and operational processes across development teams to reduce friction and speed up delivery. Improve deployment scripts and release verification processes. • Perform stress tests and verify SLAs under load. Work with application and devops engineers to design and improve support for this type of testing. • Work closely with traders, engineers, system administrators, data centers, networking, and other shared services. What you will need: • Bachelor's degree in computer science or equivalent practical background. • 3+ years of hands-on software development or SRE Experience • Demonstrated experience with observability tools – logging, metrics and tracing • Hands on development experience in scripting languages like Bash, Python, or Ruby • An automation-first approach to problem solving – you understand that manual processes don’t scale, and your instinct is to eliminate them before they become a bottleneck. • Demonstrated knowledge of network communications including comprehensive understanding of the Linux TCP-IP stack, use of multicast networking, and network protocol interactions. • Solid diagnostic capabilities from the application layer through the network and low-level hardware. • Experience with network capture and time synchronization. • High level of ownership and accountability, reliability, and strong follow through. • Positive AI mentality and experience with AI agents to accelerate SRE tasks. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice. California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice. #LI-GV1

At Navan, "It's all about the user. All of them." We're passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they're going. Navan is building cutting-edge solutions at the intersection of travel, expense, payments, and AI. As a leader in the AI for Travel domain, we are using intelligent, practical AI experiences to make business travel simpler, faster, and more reliable for travelers, travel managers, finance teams, and support teams. We are seeking a Senior Site Reliability / DevOps Engineer to ensure the scalability, performance, and reliability of our user-facing generative AI features. In this role, you will bridge the gap between traditional infrastructure and cutting-edge machine learning. You will build and maintain the high-throughput, low-latency systems required to serve AI models directly to millions of users. This position is based out of our new Tel Aviv office. What You'll Do: • Infrastructure Ownership: Design, build, and scale the infrastructure hosting our user-facing AI applications and inference engines. • Performance Optimization: Optimize system latency, specifically targeting Time-to-First-Token (TTFT) and total round-trip time for user requests. • GPU & Resource Orchestration: Manage and scale GPU clusters within Kubernetes to maximize utilization and minimize operational costs. • Resiliency & Fallbacks: Build robust fallback systems, circuit breakers, and rate-limiting infrastructure to handle upstream LLM API failures and traffic spikes. • Monitoring & Observability: Implement deep observability for AI workloads, tracking custom metrics like token usage, model drift, and GPU memory saturation. What We're Looking For: • SRE Fundamentals: 4+ years of experience in SRE, DevOps, or Production Engineering roles supporting high-traffic, user-facing applications. • LLMOps / AI Infrastructure Expertise: Experience working with AI workloads (such as serving models using vLLM, Server TGI or working with cloud providers like Bedrock, OpenAI, etc.). • Container Orchestration: Strong expertise in Kubernetes (EKS, GKE, or AKS) and infrastructure-as-code (Terraform). • AI/ML Ecosystem: Hands-on experience with inference servers (e.g., vLLM, TGI) and vector databases (e.g., Pinecone, Milvus, Qdrant). • Programming: Proficiency in Python and Go for automation, tooling, and backend optimization. • Cloud Architecture: Deep experience managing cloud compute resources, specifically specialized GPU instances • Models AI and Code: Ability to build automation processes that not only update code versions, but also support testing and safe deployment of new models (Shadow Deployments, Canary releases for models) Product thinking and user orientation (User-Facing) • Advanced Observability: Mastery of tools like OpenTelemetry, Prometheus, Datadog or Grafana, with the ability to trace agent-based systems and complex model calls. • Cost & Capacity Optimization: Ability to manage the high costs of GPU/Inference in a productive architecture without compromising availability or performance. • Empathy for the end-user experience: Understanding that every millisecond of latency or error in the stream directly impacts customer retention. • Preferred Qualifications Experience building semantic caching layers to reduce LLM API costs. Active contributor to open-source LLMOps or MLOps projects. (edited) Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. • Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.

Description About Port At Port.io, we are building an open and flexible Agentic Engineering Platform for modern engineering organizations. Following our recent $100M Series C funding round, we are in a phase of rapid hypergrowth with strong enterprise momentum. We act as the central nervous system for engineering, enabling platform teams to unify their stack and expose it as a governed layer through golden paths for developers and AI agents. By combining rich engineering context, workflows, and actions, we help organizations transition from manual processes to autonomous, AI-assisted engineering workflows while maintaining control and accountability. As a product-led company, we believe in building platforms that fundamentally shape how modern engineering organizations operate. Why we’re looking for you: We’re looking for a Senior Site Reliability Engineer to join our Platform team and own the reliability of Port’s production platform. For many of our customers, Port is a critical part of their infrastructure, and they count on it to be reliable and performant. Your focus will be reliability and observability. You’ll help teams monitor their services efficiently, set best practices for monitoring defaults and high value metrics, define SLOs and error budgets, and standardize how we investigate incidents and learn from them. You’ll be the person who defines what “reliable” means for each service, measures it, and makes sure we keep that promise. Success here looks like fewer and shorter incidents, alerts that people trust, error budgets that guide decisions, and dev teams that ship confidently to production. Your responsibilities will include: • Define and own SLIs, SLOs, and error budgets for Port’s critical services, together with the teams that own them, and use them to guide release and prioritization decisions • Evolve our observability stack - metrics, logs, traces, and alerting - so issues are caught before customers notice • Lead incident response and postmortems - coordinate mitigation and communication during incidents, run blameless postmortems, and track follow-up actions to completion • Shape and take part in the on-call rotation - runbooks, escalation paths, and alert hygiene for a sustainable on-call experience • Partner with R&D teams on production readiness - review new services and major changes for reliability, scalability, and operability before launch • Drive capacity planning and performance work - load testing, finding bottlenecks, and scaling the platform ahead of customer growth • Strengthen system stability with AI - use Port and our monitoring stack to give incident-response agents the context and tools to investigate incidents, suggest fixes, and resolve them, reducing MTTR and improving how we handle incidents. Who you’ll work with: • You’ll report to the Platform team lead and work alongside your Platform team teammates on the infrastructure and delivery foundations that reliability depends on. • You’ll partner with R&D teams to set reliability targets and improve how their services behave in production. • You’ll work with FinOps where relevant, to balance reliability and performance with cost. Requirements What we’re looking for: • 5+ years of experience in SRE, production engineering, or a DevOps/platform role with clear ownership of production reliability. • Hands-on experience operating production workloads on Kubernetes in AWS (or a similar cloud provider). • Strong experience with observability tooling such as New Relic, Sentry, and OpenTelemetry, or similar, including designing meaningful alerts and dashboards. • Practical experience defining and working with SLIs/SLOs and error budgets. • Experience with Infrastructure as Code and CI/CD, such as Terraform and GitHub Actions, or similar. • Good understanding of distributed systems, networking fundamentals, and common failure modes of cloud-native SaaS platforms. • Experience operating AI or agent-based systems in production. • Solid coding skills in at least one language (e.g. Python, Go, or TypeScript/Node.js) for automation and tooling. • A track record of driving reliability improvements across teams, including without formal authority, and mentoring other engineers. • Hands-on experience with incident response and postmortems. • Excellent communication skills, especially under pressure. • Fluent Hebrew and English. Nice to have: • Experience with load and performance testing at scale. • Experience with chaos engineering or structured failure testing. • Experience operating databases, queues, or streaming systems in production.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by phenomenal technology – and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are seeking a Senior Site Reliability Engineer – Storage, you will own the reliability, performance, and scalability of our global NAS, SAN, and Object Storage platforms that power critical internal and external services. You will combine deep storage expertise with strong automation and SRE practices to design, build, and operate highly available storage systems at scale. What You Will Be Doing: • Lead design, deployment, and operations of production NAS, SAN, and Object Storage platforms, ensuring reliability, performance, and security. • Capture requirements from partner teams, architect storage solutions, and drive end‑to‑end implementation for new and existing services. • Develop, maintain, and improve automation for provisioning, configuration, monitoring, incident response, and lifecycle management of storage infrastructure. • Participate in on‑call and incident response, lead troubleshooting of complex storage and performance issues, and drive root cause analysis and preventive actions. • Define and track SLOs/SLIs and error budgets for storage services, using observability and analytics to continuously improve reliability and efficiency. • Build and maintain runbooks, standard operating procedures, and comprehensive documentation for storage services and automation. • Analyze capacity and usage trends, perform forecasting, and recommend scaling or optimization strategies to support business growth. • Collaborate closely with SRE, infrastructure, networking, and application teams in a follow‑the‑sun model to deliver consistent, high‑quality service. • Mentor junior engineers, share best practices, and help drive adoption of SRE principles across the team. What We Need to See: • 12+ years of experience in Site Reliability, DevOps, or Infrastructure Engineering, with significant focus on storage systems. • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field or equivalent practical experience. • Strong hands‑on experience with design, deployment, and operations of enterprise‑grade NAS, SAN, and/or Object Storage platforms. • Solid understanding of SRE concepts (SLOs/SLIs, error budgets, incident management, observability, postmortems). • Proficiency with Infrastructure as Code and configuration management tools (e.g., Terraform, Ansible, Puppet, SaltStack) and source control systems. • Experience building and operating highly available, scalable infrastructure, including automation for provisioning, monitoring, and remediation. • Experience with container and virtualization platforms (e.g., Docker, Kubernetes, hypervisors) and modern CI/CD and version control tools. • Strong scripting or programming skills (e.g., Python, Go, Shell) to build tools, automate workflows, and integrate systems. • Excellent communication and collaboration skills, with the ability to work effectively across distributed and cross‑functional teams. Ways to Stand Out from the Crowd: • Experience with storage for high‑performance computing, AI/ML workloads, or large‑scale data analytics. • Proven ability to debug complex, distributed systems and storage performance issues. • History of driving reliability improvements through data‑driven analysis and automation. • Experience leading technical initiatives, mentoring engineers, or acting as a technical lead on critical projects. 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 brilliant and talented people in the world working for us. If you're creative and motivated, we want to hear from you!

We are now looking for a Senior HPC Site Reliability Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIA’s strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized. What you will be doing: • Provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology. • Identify architectural changes or completely innovative approaches in our cloud architecture and design. • Help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment! What we need to see: • B.sc in Computer Science, Electrical Engineering or related field or equivalent experience • 8+ years of experience designing and operating large scale compute infrastructure. • Experience with job schedulers such as IBM/Platform LSF, SGE, SLURM, Marathon, Chronos. • Solid understanding of cluster configuration managements tools – Ansible, Puppet, Chef, Salt. • Good experience providing compute services using a public cloud (AWS, Azure, Google Cloud) • Strong script-writing skills: Python, Bash, Perl • Knowledge of and/or experience deploying PaaS microservices – Docker, Docker Swarm, Kubernetes • Understanding of fast distributed and network attached storage solutions and Linux file systems, ability to recommend and implement solutions to improve OS performance and reliability. Ways to stand out from the crowd: • Linux certification from a well-known vendor - RedHat, Oracle, etc. • Prior experience managing large-scale Kubernetes deployment in production. • Strong skills in modern container networking and storage architecture.

We are seeking a highly skilled Principal Staff SRE to join our dynamic Core Infrastructure team. This role will lead initiatives that improve the efficiency, performance, reliability, and evolution of infrastructure services across on-premises and cloud environments. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family What you'll be doing: • Lead initiatives that transform the IT Compute Core architecture and build new infrastructure service offerings across on-premises and cloud environments. • Design, scale, and deploy core infrastructure services including DNS, NTP/PTP, DHCP, and LDAP, with responsibility for performance, reliability, automation, monitoring, high availability, capacity planning, and lifecycle management at global scale. • Define and implement service-efficiency metrics, and drive improvements through software and hardware optimization, including SR-IOV and DPU capabilities where appropriate. • Apply technologies such as eBPF and XDP to improve observability, performance analysis, and DDoS-mitigation capabilities. • Collect and analyze system and capacity data; develop enterprise-wide capacity plans and coordinate with management to implement appropriate changes. • Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, and monitoring. • Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs. What we need to see: • Bachelor's degree in Engineering, Computer Science, Mathematics, or a related field, or equivalent experience. • 12+ years of demonstrable experience in compute platform engineering, with a strong focus on automation and technical leadership in large-scale environments. • Experience designing and deploying containerization architectures and distributed-systems infrastructure. • Demonstrable experience evaluating existing application architectures and seeing opportunities for containerization that improve scalability, reliability, and efficiency. • Strong analytical skills, including the ability to define and track key performance metrics. • Experience developing tools for data analysis and performance profiling, including Terraform and configuration-management tools. • Proficiency in Go, Python, or similar programming languages. • Linux OS proficiency, including kernel internals. • Experience operating large-scale environments with bare-metal build infrastructure. • Understanding of network protocols and architectures, including VLAN, VXLAN, SDN, BGP, and Anycast. Ways to stand out from the crowd: • Deep understanding of complementary infrastructure components, including DNS, LDAP, and security tools. • Hands-on experience with containers and their implementation. • Experience deploying and managing services such as DNS and LDAP at scale. • Solid understanding of microservices architecture, infrastructure as code, and configuration-management tools. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're an SRE team within DevTools, looking for someone ready to help maintain and grow our systems. We run 25k builds a day in TeamCity, store 100 TB of artifacts in Artifactory, and work with a massive monorepo in GitLab — comparable in scale to what you'd find at FAANG companies. We modify GitLab and build our own TeamCity plugins to give users a product that meets their needs. We're also experimenting with AI — we have our own RAG setup and are figuring out how to operate in the age of agents. Our goal: understand users' problems and requests, define metrics that capture the problem, improve those metrics, and verify that the user's problem is actually gone. Your responsibilities will include: • Improving services based on user feedback • Building fault-tolerant, self-healing architecture • Finding ways to speed up our systems and reduce user friction • Modifying well-known closed- and open-source solutions Supporting our users We expect you to have: • A combination of SRE and SWE experience (for us that's a 50/50 split). Our code is in Java/Kotlin, Go, Python, and Ruby • An understanding of what's happening under the hood in Unix-like systems and the JVM • A passion for improving the user experience • The ability to adapt quickly on the fly in a fast-changing environment It will be an added bonus if you have: • Experience in Platform Engineering • Experience operating GitLab (or another VCS) and TeamCity (or another CI system) • Experience with Spring and operating Java monoliths We conduct coding interviews as part of the process. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Your responsibilities will include: • Ensure fault-tolerance, scale, and uninterrupted operations for the service. • Use cutting-edge cloud technology to solve a variety of infrastructure problems. • Implement and improve CI/CD processes. We expect you to have: • Solid experience with programming languages (like Go, Python, or C++); • Solid understanding of classic algorithms and data structures; • Commercial experience with and deep understanding of Unix systems and network technology; • Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm). It will be an added bonus if you have: • Desire to be involved in backend development; • Experience designing, developing, and running high-load distributed systems; • Commercial experience with a variety of cloud platforms. We conduct coding interviews as part of the process. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: Senior Site Reliability Engineer • Managing Kubernetes clusters across multiple environments and regions • Owning infrastructure as code for all resources • Maintaining and improving CI/CD pipelines and GitOps-based deployments • Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors • Building out monitoring, alerting, and observability • Debugging production issues across services • Managing cloud costs and capacity planning • Working closely with a small engineering team — you'd own infra, not a slice of it What we're looking for • 5-8 years in a DevOps or platform engineering role, working in production environments • Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale • Strong Kubernetes experience in a managed cloud environment • Proficiency with infrastructure as code (Terraform or similar) • Experience with GitOps-based deployment workflows • Built or maintained observability stacks (logging, metrics, alerting) • Experience handling production incidents calmly and methodically Nice to have: • Multi-region deployments • Search infrastructure • Data pipeline experience (streaming, warehousing) • Proxy/networking infrastructure at scale Why Tavily? • Full ownership — small team, you own the entire infrastructure, not a slice of it • Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests • AI-native company — your infra directly powers AI agents used by leading companies in the space. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

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 As a Senior/Principal SRE Engineer, you will be a key player in ensuring the reliability, scalability, and performance of our critical IT infrastructure. You will leverage SRE principles and an automation-first mindset to build and maintain resilient hybrid cloud environments. This role is ideal for a candidate who thrives in a fast-paced, innovative setting and is passionate about solving complex challenges with cutting-edge technology. Key Responsibilities • Provision, configure, and support resilient hybrid cloud deployment architectures using an Infrastructure-as-Code framework. • Proactively collaborate with development teams to ensure new applications are production-ready, scalable, and reliable from inception. • Develop and maintain tools and frameworks to automate operational tasks, including deployment, monitoring, and recovery. • Conduct thorough root cause analysis of production issues and implement preventative measures to improve system resilience, demonstrating strong problem-solving skills. • Manage CI/CD platforms, Linux infrastructure, and contribute to capacity planning and operational runbooks. • Design and implement proactive service monitoring, alerting, and trend analysis to maintain service availability and performance SLAs. • Participate in an on-call rotation to support critical applications and services, responding to and resolving incidents efficiently. • Contribute to comprehensive documentation related to infrastructure design, deployment, and operational procedures. Qualifications Your Experience: • 6+ years of Devops engineering experience on mission-critical, enterprise-level systems in a hybrid (both cloud and on-prem) environment. • 3+ years of hands-on experience with cloud environments, preferably Google Cloud Platform (GCP). • Expertise in configuration management and Infrastructure-as-Code using frameworks such as Terraform and Ansible. • Strong programming/scripting knowledge in languages like Python, Bash, or Go for infrastructure automation. • Demonstrated experience with CI/CD pipelines (e.g., GitHub, Jenkins, Artifactory) and a strong foundation in Linux/Unix administration. • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Preferred Qualifications • Experience with containerization and orchestration technologies, particularly Kubernetes. • Hands-on experience with monitoring and observability tools such as Datadog, Grafana, or Prometheus. • Understanding of networking principles including firewalls, load balancers, and complex network designs. • A curious and positive mindset with a passion for applied learning and challenging existing processes for continuous improvement. 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: Join a team of senior engineers operating in a large-scale, multi-cloud production environment supporting tens of thousands of enterprise customers worldwide. This is not a typical SRE role — you’ll work at the core of a complex, high-impact system alongside experienced DevOps professionals in a fast-paced, cybersecurity-focused organization. Your Impact: • Own and operate large-scale, global production environments across multiple cloud providers (GCP, AWS, Azure) • Actively monitor, investigate, and resolve incidents triggered by automated alerting systems (PagerDuty / Incident Response) • Drive end-to-end troubleshooting across complex, distributed systems with high context switching • Design, deploy, and improve monitoring and observability systems (e.g., Prometheus, Grafana) — not just react to alerts • Collaborate closely with internal teams (CX, CS, Engineering) to ensure system reliability and performance • Work hands-on with modern DevOps and infrastructure tools including Kubernetes, Terraform, CI/CD pipelines, and GitOps workflows • Develop and maintain automation and tooling (primarily in Python) • Gain deep understanding of system architecture and interconnected services • Contribute to a culture of operational excellence in a high-scale, high-availability environment • On call responsibilities: Daytime hours (12:00–20:00) Occasional weekends and holidays (rotation-based) Qualifications Your experience: • 5+ years of experience in SRE roles in production environments at scale • Strong hands-on experience with Kubernetes and Terraform • Strong hands-on experience with at least one major cloud platform (GCP or AWS required) • Experience building and configuring monitoring systems (e.g., Prometheus, Grafana) • Familiarity with CI/CD and GitOps tools (GitLab CI, GitHub Actions, Jenkins, Flux) • Proficiency in Python for scripting and automation • Strong troubleshooting and problem-solving skills with a passion for incident handling • Ability to work in fast-paced environments with high context switching • Highly responsive, proactive, and ownership-driven • Strong collaboration and communication skills • Curious mindset and eagerness to learn #LI-TD11 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.

Realize your potential by joining the leading performance-driven advertising company As a Senior Site Reliability Engineer on the R&D Infrastructure team in our Tel Aviv Office, you’ll play a vital role in building, scaling and maintaining high-scale infrastructure across on-premise cloud, public cloud and rapidly growing AI/ML Kubernetes environments. You will push Linux to its limits, writing software and automation to eliminate manual tasks and solving performance bottlenecks across the stack. To thrive in this role, you'll need: • 7+ years of experience managing, scaling and troubleshooting large-scale distributed Linux environments in production. • Deep understanding of Linux system internals and network protocols (TCP/IP, DNS, HTTP, gRPC), together with hands-on experience of edge/CDN services such as Fastly, Cloudflare, Akamai or CloudFront. • Hands-on experience with Infrastructure as Code (IaC) and orchestration tools such as Terraform, Ansible, Puppet, ArgoCD or Jenkins. • Production experience managing containerized environments using Kubernetes and Docker. • Solid programming skills in at least one modern language (Go, Python or Rust). Bonus points if you have: • Experience designing and operating telemetry, metrics collection, and alerting stacks at scale (Prometheus, Grafana, ELK/logging). • Practical background in optimizing infrastructure costs and resource efficiency across cloud and on-prem. How you’ll make an impact: • Keep our hybrid infrastructure (on-prem, public cloud and AI/ML clusters) highly available, performant and cost-efficient. • Build internal software tooling and manage IaC pipelines in Go, Python or Rust to eliminate repetitive operations. • Perform deep-dive troubleshooting across the full stack—from CDN edge configurations down to Linux kernel tuning and network layer bottlenecks. • Design and maintain monitoring and alerting setups to spot and address system health issues before they impact users. • Participate in on-call rotations, lead incident resolution and conduct blameless post-mortems to ensure system resilience. Why Taboola? If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning with smart, talented people: • Adam Singolda, Taboola Founder and CEO says: “You can copy anything from another business, but you can’t copy a company’s culture.” • Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking). • Flexibility: We offer a hybrid work schedule (3 days in-office) with flexibility. • Work with global leaders: Our publisher partners include Yahoo, Fox Sports, NBCU, ESPN, and CBS, while our clients include major global brands. Ready to realize your potential? Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.- Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog. About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale. #LI-Hybrid #LI-ID

As a Site Reliability Engineer in the R&D Infrastructure department in our Tel Aviv Office, you'll own the path every request takes before it reaches a service: The CDN edge, the anycast VIPs behind it, a large fleet of open source load balancers and service mesh components. At peak that chain carries millions requests per second on the way to serving tens of billions of recommendations a day. We need a networking specialist who doesn't stop at the wire. You bring in depth networking knowledge, native Linux fluency and modern coding practices with the diagnostic intuition to debug complex interactions between BGP enabled nodes, reverse proxies and application logs. To thrive in this role, you'll need: • 5+ years running production organization with internet-facing traffic infrastructure at very large scale, with deep understanding of TCP/IP stack (BGP, anycast, ECMP, DNS-based traffic steering, TCP, TLS, HTTP/2 and HTTP/3). • Deep hands-on ownership of L7 proxies in production: Nginx, HAProxy or Envoy/Istio, covering configuration at scale, performance tuning and the class of bugs that only appear under real load. • Production experience with a commercial CDN such as Fastly, Cloudflare, Akamai or CloudFront, including edge logic, cache policy and origin protection. • Fluency in Linux networking internals and packet-level diagnosis: tcpdump, conntrack, nftables/iptables, socket and TCP tuning. • Coding ability that goes past scripting. You will be building tooling and not only editing configuration files. • Kubernetes networking depth covering CNI internals, kube-proxy, ingress and east-west traffic policy. Bonus points if you have: • A background in traffic observability, whether flow telemetry, real-user monitoring or synthetic probing across regions. How you'll make an impact: • Own the full path a request takes from user to service: CDN configuration, TLS termination, load-balancing policy and failover behavior. • Move our proxy and CDN configuration into code with review, testing and staged rollout replacing hand edits in production. • Lead the cross-layer investigations nobody else can close from an anycast withdrawal down to a single misbehaving upstream. • Plan capacity and drain procedures for the traffic tier so that losing a POP or an entire data center stays invisible to users. • Take part in the on-call rotation, lead incident response and turn post-mortems into permanent fixes in the traffic layer. Why Taboola? If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning with smart, talented people: • Adam Singolda, Taboola Founder and CEO says: “You can copy anything from another business, but you can’t copy a company’s culture.” • Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking). • Flexibility: We offer a hybrid work schedule (3 days in-office) with flexibility. • Work with global leaders: Our publisher partners include Yahoo, Fox Sports, NBCU, ESPN, and CBS, while our clients include major global brands. Ready to realize your potential? Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.- Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog. About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale. #LI-Hybrid #LI-ID