Infrastructure Engineer jobs in Israel

Job Description • Build, operate, and improve production infrastructure, with a focus on AWS, Kubernetes, and CDN and caching systems. • Troubleshoot complex infrastructure issues across Linux, networking, Kubernetes, and content delivery. • Automate infrastructure provisioning and configuration management to make deployments consistent and reliable. • Develop monitoring and alerting, investigate production incidents, and implement improvements that prevent recurrence. • Collaborate with development, support, and QA teams to improve infrastructure reliability and performance. • Propose and implement improvements that benefit our infrastructure, teams, and users. • Participate in the team’s on-call rotation to resolve production incidents and restore service availability. Qualifications • 4+ years of experience operating production infrastructure, with strong Linux administration, networking, and troubleshooting skills. • Strong understanding of AWS fundamentals, including compute, networking, load balancing, and auto scaling. • Practical experience administering and troubleshooting production Kubernetes clusters, including cluster upgrades, networking, and scaling. • Experience operating CDN and HTTP caching infrastructure using Varnish, NGINX, or similar technologies, with a solid understanding of HTTP, DNS, TLS, cache behavior, and invalidation. • Experience automating infrastructure provisioning and configuration management using Terraform and tools such as Ansible, Chef, or equivalents. • Experience using Prometheus, Grafana, or equivalent tools for monitoring, incident investigation, and performance troubleshooting. • Experience with on-premises infrastructure, private clouds, hypervisors, or bare-metal servers is an advantage. 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 and CI/CD 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. We’re proud to be an equal opportunity employer. Wix was built around the idea that everyone has the right to be successful, online. This same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.

Who are we? Skai (formerly Kenshoo) is a leading omnichannel marketing platform that leverages advanced AI and data-driven performance media to enable smarter decision-making, increased efficiency, and maximized ROI for businesses worldwide. Our platform helps manage approximately $10B in annual ad spend through partnerships with Google, Meta, Amazon, Microsoft, and others. Founded in 2006, Skai is a global company operating in a hybrid work model that combines remote flexibility with in-office collaboration. We continuously modernize our stack to handle commerce decisions at a massive global scale. What will you do? As the Infrastructure Engineering Lead, you will own the technical direction, architecture, and delivery of Skai's core production data infrastructure (MySQL, SingleStore, Snowflake, Airflow, and Microservices). In this role, you will balance in-house, open-source, and SaaS solutions to manage petabyte-scale data while ensuring system reliability, scalability, and cost-efficiency. You will blend hands-on engineering, technical architecture, vendor management, and team mentorship. You will lead cross-functional delivery, drive operational excellence across a 24/7 production environment, and set engineering guardrails for cloud-based data systems across the company. Responsibilities: Technical Leadership & Architecture: Set engineering guardrails, lead architectural reviews, lead the pod's daily, and balance design tradeoffs for cloud-based data systems across all business units. Execution & Delivery: Own the pod's Scrum processes (epics, stories, tracking), balance technical debt management with rapid feature delivery, and drive multi-project execution. Hands-on Engineering & Escalations: Stay active in code and infrastructure, serving as the primary technical escalation point for complex, 24/7 production issues. Ops, High Availability & Reliability: Oversee operational readiness, rotation schedules, high availability (HA), backup and recovery processes, and automation to maintain 24/7 production uptime. Mentorship & Team Culture: Raise the technical bar, foster a culture of engineering excellence, mentor team members, and drive professional growth within the pod. Stakeholder & Vendor Alignment: Act as a strategic partner to align roadmap planning, bridge technical execution with business goals, and serve as the main point of contact for data infrastructure vendors. Requirements 5+ years of proven experience in a DBA, DevOps, DataOps, or Data Engineering role with deep hands-on ownership of production databases (e.g., MySQL, SingleStore, PostgreSQL). Proven track record in designing, operating, and maintaining large-scale data infrastructure (capacity planning, performance tuning and upgrades, monitoring, CI/CD (Jenkins/GHA/ArgoCD)). Strong software engineering capabilities in Python, Java, or Go within a microservices architecture, as well as Bash scripting. Hands-on expertise with Linux environments and at least one major cloud provider (AWS preferred). Demonstrated experience in leading technical design reviews, setting engineering guardrails, and mentoring engineers. Strong analytical problem-solving skills with a data-informed approach to resolving complex, cross-system production issues in a 24/7 environment. Exceptional communication, teamwork, and stakeholder management skills. Advantages: Experience with modern Big Data technologies at scale (e.g., Snowflake, Kafka, Spark). Hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or Ansible. Previous experience as a Tech Lead, Team Lead, or Acting Lead on a mission-critical production team. Working with AI tools / integrating AI into engineering and operational workflows.

Join a nationwide organization providing financial, digital, and logistics services to millions of customers. We are looking for an experienced Senior System Infrastructure Engineer to manage complex enterprise IT infrastructure, lead technology projects, and ensure the stability and performance of on-premises and cloud environments. Join a leading nationwide organization as a Senior System Infrastructure Engineer and take a key role in managing and improving complex IT infrastructure. This hands-on position combines enterprise infrastructure management, independent project leadership, and troubleshooting across hybrid environments. What You'll Do Manage and maintain enterprise IT infrastructure, including servers, virtualization, storage, backups, and cloud environments. Administer VMware and Microsoft environments, including Active Directory, DNS, DHCP, SCCM, and Microsoft 365. Lead infrastructure projects independently, from planning through implementation and production. Develop complex PowerShell scripts and troubleshoot advanced infrastructure issues at Tier 2/3 level. Collaborate with development and IT teams, manage infrastructure changes, and provide technical guidance to support teams. Requirements 5+ years of experience as a System Engineer in a large enterprise environment with hundreds of servers and thousands of endpoints - Must Strong hands-on experience with VMware and Hyperconverged Infrastructure (HCI) - Must Proven experience leading IT infrastructure projects independently - Must Strong experience independently developing complex PowerShell scripts - Must Experience with VMware vSAN, VDI, storage and backup solutions - Advantage Knowledge of Linux, automation, networking and security - Advantage Relevant technical certifications (VMware, MCSA, CCNA, Azure, DevOps) - Advantage

Description Attackers don't hack- they log in. Almost every major breach starts with a credential that should never have existed. Venice ends standing access for every person, service account, and AI agent across cloud, SaaS, and on-prem. Our agentless platform deploys in minutes, swapping stale access workflows for real-time, just-in-time enforcement. But we're not only building this to stop breaches and replace clunky, legacy PAM setups. We're building it so teams can hand real privileges to AI agents and move faster, not just apply controls that slow everything down. Every company is about to put agents inside its most sensitive systems, and we're making it secure and possible for those agents to be a true part of the workforce. Backed by Index Ventures and IVP, trusted by Fortune 200 security teams, and deployed in some of the most complex enterprise environments in the world. The rules for how AI gets access are being written right now. Come write them with us. What you will do: • Own and design the connectivity layer from day one, building the secure access infrastructure that links Venice's cloud platform directly into customer networks. • Build features end-to-end across a microservices stack, mostly backend with supporting frontend, to solve critical networking and OS-level security challenges across diverse, locked-down customer environments. • Scale secure access on unpredictable infrastructure using an advanced tech stack focused on Windows and Linux OS internals, proxy architectures, and identity and access primitives. • Drive direct impact on Venice and the future of identity security by enabling secure, reliable access across enterprise networks with complete ownership and technical autonomy. Requirements • 5+ years building backend services and shipping them to production end-to-end, in a cloud-native microservices environment. • Strong networking, OS internals (Windows / Linux) and security fundamentals, you understand how traffic moves and how trust gets established across systems (think TLS, DNS, proxies, identity and access primitives), and you're comfortable reasoning about it end to end. • Calm and methodical in environments you don't fully control, comfortable debugging across firewalls, proxies, and trust boundaries when part of the system is a black box. • A security mindset, you think in terms of trust, blast radius, and what could go wrong, not just the happy path. • Strong ownership instinct, you take problems from ambiguity to a reliable, shipped solution. • Clear communicator with strong English, you can explain a tricky networking issue to a colleague, in writing and live, without losing them. Why join us? The Timing The timing couldn't be better. Legacy privileged access management is dead, the market leader was just absorbed, and there's a narrow window to define what replaces it. We're in that window right now. The Culture Our team is small with exceptional people who are actually fun to work with and the distance between your idea and production is short. Plus, we take our coffee seriously. If this sounds like your kind of challenge, apply- even if you don't tick every box.

Description groundcover is a fast-growing B2D company set to reinvent the way developers monitor their cloud-native applications and impact their organization’s scale. We help teams by providing them with the insights they need to troubleshoot better and faster when trouble hits. We believe that even the most complex systems can have a flawless and amazing user journey. Our product is built on a unique Bring Your Own Cloud (BYOC) architecture, challenging the traditional SaaS model and introducing complex infrastructure challenges that require innovative solutions. We’re looking for a highly skilled Infrastructure Engineer to join our team and own the scaling, management, and automation of our platform’s distributed environments. If you’re excited about building high-scale distributed systems and solving deep DevOps and infrastructure challenges, let’s talk. What You’ll Do: • Own and scale infrastructure – Design, build, and optimize the backbone of our observability platform, ensuring seamless deployment across hundreds of distributed environments. • Solve complex scalability challenges – Tackle unique problems in multi-cluster Kubernetes environments, multi-cloud setups, and high-ingestion observability pipelines. • Manage data at scale – Build and optimize configurable data pipelines, ensuring efficient ingestion, storage, and querying of large volumes of observability data with resilience, consistency, and analytical capabilities. • Automate everything – Develop infrastructure as code, improve CI/CD processes, and automate environment provisioning for reliability and efficiency. • Enhance system reliability – Design robust monitoring, alerting, and self-healing mechanisms for a high-scale production environment. • Collaborate cross-functionally – Work closely with backend engineers, product teams, and customers to design scalable, developer-friendly infrastructure. • Adopt and implement cutting-edge technologies – Continuously evaluate and introduce new tools and frameworks to improve scalability, performance, and cost efficiency. • Improve deployment efficiency – Optimize Helm charts, Kubernetes operators, and Terraform configurations to streamline environment creation and lifecycle management. Requirements • 5+ years of experience in DevOps, SRE, or Infrastructure Engineering roles. • Strong expertise in Kubernetes, Terraform, Helm, and cloud environments (AWS, GCP, or Azure). • Experience with scalable observability stacks (e.g., ClickHouse, VictoriaMetrics, OpenTelemetry) is a huge plus. • Deep understanding of distributed systems, networking, and containerized workloads. • Proficiency in at least one programming language (Go, Python, or similar) for automation and tooling • Passion for building scalable, reliable, and efficient infrastructure. • A problem-solving mindset with the ability to tackle complex technical challenges independently.

About you Education, Qualifications: • 4 years or equivalent level of experience in IT infrastructure engineering or systems administration, with a focus on enterprise storage and backup solutions. • Hands-on experience with storage systems like NetApp and Infinidat, as well as backup and recovery technologies like Commvault AVMAR and Rubrik HyperScale. • Proficient in troubleshooting, maintaining, and optimizing enterprise storage and backup environments. • Strong understanding of networking, virtualization, system security, and disaster recovery strategies. • Expertise in designing and implementing high-availability storage solutions, ensuring that systems are fault-tolerant and meet RTO/RPO requirements. • Experience in integrating backup solutions into cloud environments, optimizing backup performance for hybrid cloud infrastructures. It Would Be Great If You Also Had: • Familiarity with DevOps tools and practices (CI/CD, Infrastructure as Code). • Experience with cloud platforms such as AWS, Azure, or GCP. • Scripting skills in PowerShell, Bash, or Python for automating infrastructure tasks and deployments. • Experience working with cloud-native storage and backup solutions (e.g., Amazon S3, Azure Blob Storage, Google Cloud Storage). • Experience with Linux and Windows Server administration. • Hands-on experience with VMware vSphere or other virtualization technologies. • Experience in setting up and maintaining multi-site disaster recovery solutions. • Expertise in defining and maintaining storage tiers and data lifecycle management policies. What will you be doing In this role • Design, deploy, and manage infrastructure solutions to support enterprise-scale applications, ensuring high availability and performance. • Lead storage and backup infrastructure projects across various technologies, ensuring the protection and integrity of enterprise data. • Implement and manage storage solutions such as NetApp, Infinidat, and other leading technologies to meet both performance and scalability needs. • Manage and optimize backup strategies using Commvault-Hyperscale, AVMAR and Rubrik to ensure timely, reliable, and secure backup of critical systems. • Configure and optimize disaster recovery solutions, ensuring business continuity and minimal downtime. • Maintain and administer systems across hybrid environments (on-prem and cloud), with a focus on storage and backup. • Work with development, security, and operations teams to ensure infrastructure performance, compliance, and security. • Automate infrastructure processes and deployments to improve reliability, scalability, and efficiency. • Monitor system health, respond to incidents, and conduct root cause analysis and resolution to prevent future occurrences. At Clarivate, you’ll be part of a forward-thinking, global team that builds and supports innovative solutions driving research and discovery. This is your opportunity to make a tangible impact in the life sciences and academic industries through cutting-edge infrastructure work. At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Description MER Group is looking for an Infrastructure & Network Engineer to manage a multi-site environment—including servers, virtualization, networking and communications, backup, and recovery—and to embed security requirements into the implementation phase. This role owns configuration and hardening baselines, ensures the resilience of core systems, and controls the production readiness gate. Responsibilities • Own configuration and hardening baselines for all platforms, including documented periodic reviews. • Manage Windows Server, Active Directory, and the virtualization layer. • Manage the FortiGate/FortiSwitch fabric, including policies, VLANs, and segmentation. • Implement outbound traffic controls and transition from broad allow rules to clearly defined restrictive policies. • Consolidate remote access and reduce unmanaged parallel access channels. • Ensure complete backup coverage for core systems, including actual recovery testing—not configuration alone. • Define RTO and RPO targets and develop a disaster recovery plan, including conducting recovery exercises. • Own and enforce the production readiness gate, including for external vendors. • Implement configuration as code so that baselines are consistently enforced rather than dependent on individual memory. Requirements Mandatory Requirements: • Experience: 3–5 years in enterprise infrastructure • Servers: Windows Server, Active Directory, and virtualization • Networking: Fortinet firewalls—policies, VLANs, and segmentation • Backup: Hands-on backup and real-world recovery experience—not policy configuration alone • Scripting: PowerShell—working scripts with error handling and logging • Hardening: Configuration baselines based on CIS or an equivalent standard • Work practices: Documentation and version control • Languages: Hebrew and technical English Significant Advantages: • Experience working in multi-site and international environments • Configuration as code using Ansible, Terraform, DSC, or an equivalent tool • Experience implementing Privileged Access Management (PAM) • Experience writing and executing disaster recovery plans and exercises • Certifications: NSE 4 or higher, Azure Administrator

Do you love writing code as much as shaping the architecture around it? Do you enjoy taking a mature, data-heavy SaaS platform and making it faster, more reliable and easier to build on, with AI agents as part of how you work? Do you value work/life balance? If so, Oktopost is looking for you! When Oktopost was founded in 2013, social media was still a question mark in B2B marketing. We saw its untapped potential to drive real business results and built a platform to help marketers turn social into a measurable growth channel. Oktopost powers social media management and employee advocacy, enabling B2B companies to become truly social organizations. While our social suite enables marketers to manage, scale, and measure social media programs, our Marketing Intelligence solution empowers content and brand teams to build competitive strategies based on market insights. Trusted by global brands and fully integrated with the modern marketing tech stack, we're a dedicated team focused on helping our customers succeed. What You'll Do • Ship features across the stack, back end and front end, in your first months to learn the product, the codebase and the teams • Lead architectural and infrastructure initiatives end to end, from design to production: modernizing our mature PHP monolith, into microservices architecture, converting background processing to (TypeScript/Python) serverless on AWS, improving observability, and scaling our analytics on ClickHouse • Make key technical decisions and set best practices: system design, data models, code quality and testing, and when to bring in new technologies • Shape our agentic SDLC: how we plan, build, review and test with AI coding agents, and the guardrails around it • Write and review critical code across the stack, front end included, and mentor engineers through design and code reviews • Share ownership of production, including the on-call rotation • Work closely with Product, team leads and engineers across R&D to turn business needs into sound technical plans What We're Looking For • 8+ years of hands-on software development, building and running web applications at scale • 2+ years as a tech lead, architect or in a similar role, leading the design and delivery of cross-cutting projects • Strong experience with at least one backend language (PHP, TypeScript/Node.js, Python, Java, C# or similar) • Hands-on experience with an agentic SDLC: using AI coding agents (Claude Code, Codex, Cursor or similar) to plan, write, review and test code • Experience evolving a large legacy codebase: refactoring, upgrades and incremental migrations while the product keeps shipping • Deep experience with MySQL or another relational database, including data modeling and performance at scale • Hands-on experience with AWS • Hands-on experience with infrastructure as code (CloudFormation, Terraform, Pulumi or similar) • Excellent communication skills and the ability to work across teams and departments • Fluent English A Plus If You Have • Experience with PHP • Experience with more than one backend ecosystem, such as PHP alongside TypeScript or Python • Experience with a modern front-end framework, especially Vue.js • Experience designing and running serverless systems on AWS (Lambda, SQS, EventBridge, Step Functions, DynamoDB, OpenSearch Serverless) • Experience with analytical databases (ClickHouse or similar) • Experience with NoSQL, search and in-memory stores (CouchDB, OpenSearch, Redis or similar) • Experience with event-driven architecture and background processing at scale • Experience building LLM-powered product features • Experience working on complex B2B SaaS applications Life as an Oktoposter At Oktopost, we're a curious, collaborative, and driven bunch who believe in doing great work, and having fun while we're at it. We value ambition, creativity, and a healthy dose of team spirit, all wrapped up in a culture that encourages growth, innovation, and delivering real impact. No matter what department or region you join us from, you'll be part of a team that supports, celebrates, and challenges one another. From day one, we want every Oktoposter to feel empowered, inspired, and truly at home. We're a team that's genuinely passionate about B2B social. We believe social media can shape brands, spark meaningful conversations, and drive real business results, and we'd love for you to be part of our journey.

Description About Finubit: Finubit is a fast-moving startup creating the bank’s next-generation cloud platform — a modern, Kubernetes-native and AI-driven foundation that powers engineering for over a thousand developers. We’re rethinking how banks build, deploy, and operate systems at scale — combining GitOps, ChatOps, and AI automation to enable self-service, reliability, and observability across every environment. At Finubit, you’ll join a small, expert team building the backbone of a modern engineering organization — from platform automation to AI-based infrastructure orchestration. About the Role: We're looking for an Infrastructure Engineer with a strong backend engineering mindset — someone who treats infrastructure as software. In this role, you won't just operate infrastructure — you'll design systems, write code, and build controllers and automation that power our Kubernetes-native platform. You'll work closely with platform, DevOps, and backend teams to create scalable, reliable infrastructure abstractions used by hundreds of developers. Responsibilities What You’ll Do: • Design and build backend-driven infrastructure workflows using Kubernetes controllers and declarative patterns. • Develop automation and tooling in Go or Python to manage infrastructure at scale. • Manage AWS resources through Kubernetes-native approaches (ACK or similar controller models). • Develop internal APIs, scripts, or services that improve developer workflows and platform capabilities. • Operate and evolve multi-cluster Kubernetes environments with a focus on automation and reliability. • Implement observability patterns and integrate monitoring signals into infrastructure logic. • Collaborate with backend engineers to design infrastructure that behaves like software — versioned, testable, and automated. Requirements What We’re Looking For: • At least 3 years of experience in software engineering, DevOps, or infrastructure roles. • Strong backend development mindset. • Experience with Kubernetes, containers, and distributed systems concepts. • Programming experience in Go or Python. • Understanding of APIs, automation workflows, and system design. • Curiosity to learn and improve how infrastructure is built through code. Nice to have: • Experience with Kubernetes controllers, CRDs, or operator patterns. • Exposure to GitOps workflows. • Familiarity with monitoring and observability concepts. • Experience with Temporal or workflow engines is a strong advantage. • Interest in AI-driven automation or ChatOps workflows. Why You’ll Love Working Here: • Build infrastructure like a backend system — not just operate servers. • Work on a Kubernetes-native platform used by thousands of developers. • Be part of a startup shaping how modern banking infrastructure is built. • Grow into advanced platform and distributed systems engineering.

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Infrastructure Teams Wayve’s Infrastructure Engineering teams build and operate the secure, reliable foundations that enable our engineers and researchers to develop and test Embodied AI at scale. In this role, you’ll be the first infrastructure-focused hire in our Tel Aviv office, working closely with our central networking team in London and our IT and cloud infrastructure teams across the UK, US and Japan.⁠ 🧠 Your day-to-day You’ll take local ownership of Tel Aviv’s network and site infrastructure—from resolving outages and improving performance to supporting office growth and new deployments. You’ll collaborate with global teams to maintain consistent configuration, security and observability standards, while providing pragmatic, hands-on infrastructure and IT support to local colleagues.⁠ 🧩 What you’ll be working on • Designing, deploying and maintaining wired and wireless networks, VLANs, VPNs, routing and firewall policies. • Building secure, high-bandwidth and resilient infrastructure for AI development and autonomous vehicle testing. • Improving automation and repeatability through Terraform, Ansible, Python and Bash. • Supporting hybrid connectivity between on-premises infrastructure and cloud environments. • Strengthening monitoring, documentation and incident response across our global sites. • Helping establish scalable infrastructure standards that can be reused as Wayve continues to grow.⁠ 🙌 You should apply if • You have 5+ years of experience in infrastructure, networking, DevOps or a related role. • You have strong networking fundamentals across TCP/IP, DHCP, DNS, routing, switching, VPNs and firewalls. • You have hands-on experience with Linux systems administration and enterprise networking platforms such as Juniper, Cisco or MikroTik. • You can automate infrastructure using Bash or Python and tools such as Terraform and Ansible. • You have worked with hybrid on-premises and cloud environments; Azure experience is beneficial. • You understand infrastructure security, including network segmentation, endpoint controls, certificate management and secure access. • You’re comfortable taking ownership, working independently and collaborating clearly with distributed teams across time zones. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: • Initial call / recruiter screen — 30 minutes • Competency interview — hiring manager interview focused on your experience, approach and role alignment; 1 hour • Deep-dive technical interviews — domain knowledge, infrastructure systems design and network provisioning; 3 hours total • Final interview — mission and values alignment; 1 hour We’ll always explain the format and work around your availability. What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

AppsFlyer is looking for a Senior IT Infrastructure Operations to join our IT Infrastructure team in Herzliya, Israel. IT at AppsFlyer is not only a support function - it is one of the operating layers that enables the company's AI-native transformation. We are building an autonomous, AI-operated IT department: agents run the routine 24/7, humans stay in the loop, and autonomy is earned through gates. You will join a small InfraOps team that owns the company's identity, SaaS, IT cloud environment and endpoint foundations - and turns them into a governed platform that both people and AI agents can operate. This is a hands-on role for someone who designs at the architecture level, ships production-grade automation and internal products end-to-end, and treats documentation as part of "done" so that agents can run on it. What you'll do Identity & core systems • Own and evolve our identity platform: Okta (SSO, tier groups, Workflows, SCIM, API Gateway), Just-In-Time access, and the full user and non-human identity lifecycle - service accounts, API keys, break-glass and audit. • Administer, and harden core SaaS - Google Workspace, Slack, Zoom, Entitle, Microsoft 365 - and the AI platforms the company runs on (Claude, ChatGPT / OpenAI, Gemini, Cursor, etc.). • Serve as Tier 3 escalation with real diagnostic depth: certificates, auth chains, cross-platform policy conflicts, MDM edge cases. Platform engineering • Build and operate the IT Infra Platform on GCP - Cloud Run, VPC Service Controls, Cloud Armor, Terraform, GitHub Actions, secret management - and deliver internal products on it end-to-end: design → IaC → CI/CD → secured deploy → operate. • Contribute to the AI Govern layer: usage governance, cost attribution and model access control. Automation • Design automation across Make.com, Okta Workflows and deployed code, with APIs, webhooks and MCP as first-class integration surfaces. • Own the health of what you build - monitoring, alerting, failure runbooks - and drive the backlog toward zero-touch self-service. AI-native IT & agents • Build agents that execute real infra tasks with explicit action boundaries and stop/escalation conditions - from Tier-0 self-service to autonomous remediation. • Apply prompt and context engineering and evaluation to real IT use cases; own skills and plug-ins in the company's AI framework. • Write resolution notes, ADRs and runbooks so that agents (and teammates) can act on them. Endpoint, network & security • Support the endpoint stack (Kandji, Intune, Airlock) and global office network (Meraki, FortiGate, Palo Alto Prisma) alongside the team. • Partner with Security on vendor and app risk, shadow-AI and SaaS governance, and audit readiness - moving manual approvals to policy-as-code. What you have • 5+ years hands-on in IT infrastructure, SysAdmin / InfraDevOps or platform engineering in a SaaS or high-growth tech environment. • Deep, production-level command of Okta (or equivalent IdP) and enterprise SaaS administration - Google Workspace, Slack, Atlassian, Microsoft 365. • Real cloud engineering: GCP (preferred) or AWS / Azure, Terraform or other IaC, containers, CI/CD, secrets management. • Strong scripting and integration skills - Python and/or TypeScript, REST APIs, webhooks, OAuth. • Proven experience designing and operating automation at scale (Make.com, n8n, Workato, Okta Workflows or similar), including monitoring and ownership of what you build. • Hands-on experience building with LLMs (Claude and/or OpenAI APIs) and applying prompt and context engineering to real use cases. • Security-minded by default (least privilege, zero trust, secret hygiene, audit trails), architecture-level thinking, and a habit of documenting so others - and agents - can run what you build. • Self-directed and fast: you originate improvements rather than execute tickets, and you're comfortable learning a new tool this week and owning it in production the next. • Strong written and verbal English. Bonus points • Building internal tools / full-stack apps (React / Node / Python) with SSO-backed auth. • Advanced LLM engineering: RAG, agent frameworks, MCP servers, LLM evaluation; AI gateway / LLM cost governance (LiteLLM, Bifrost, Vertex AI, Bedrock). • MDM at depth (Kandji, Jamf, Intune) and cross-MDM scripting; network fundamentals or global office rollouts. • Relevant cloud, Terraform or Okta certifications - or the equivalent hands-on experience. Why this role You will be one of a handful of engineers turning IT into a platform that agents operate - with a real say in what we build and how, ownership of production systems used by the entire company, and a mandate to build the next generation of autonomous IT. New AI and infrastructure technologies land on our desk constantly; you'll be the one evaluating them, adapting them to how AppsFlyer works, and taking the ones that earn it into production. As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners. “As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO

Job Description • Build, operate, and improve production infrastructure, with a focus on AWS, Kubernetes, and CDN and caching systems. • Troubleshoot complex infrastructure issues across Linux, networking, Kubernetes, and content delivery. • Automate infrastructure provisioning and configuration management to make deployments consistent and reliable. • Develop monitoring and alerting, investigate production incidents, and implement improvements that prevent recurrence. • Collaborate with development, support, and QA teams to improve infrastructure reliability and performance. • Propose and implement improvements that benefit our infrastructure, teams, and users. • Participate in the team’s on-call rotation to resolve production incidents and restore service availability. Qualifications • 4+ years of experience operating production infrastructure, with strong Linux administration, networking, and troubleshooting skills. • Strong understanding of AWS fundamentals, including compute, networking, load balancing, and auto scaling. • Practical experience administering and troubleshooting production Kubernetes clusters, including cluster upgrades, networking, and scaling. • Experience operating CDN and HTTP caching infrastructure using Varnish, NGINX, or similar technologies, with a solid understanding of HTTP, DNS, TLS, cache behavior, and invalidation. • Experience automating infrastructure provisioning and configuration management using Terraform and tools such as Ansible, Chef, or equivalents. • Experience using Prometheus, Grafana, or equivalent tools for monitoring, incident investigation, and performance troubleshooting. • Experience with on-premises infrastructure, private clouds, hypervisors, or bare-metal servers is an advantage. 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 and CI/CD 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. We’re proud to be an equal opportunity employer. Wix was built around the idea that everyone has the right to be successful, online. This same vision defines us as an employer: creating a work environment where everyone is welcome, and anyone has the right to succeed.

Description VAST Data is looking for a Senior Infrastructure Developer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. Requirements What You’ll Be Doing • Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization. • Among the different tools: • test infrastructure used by the QA • Maintain and develop API and interfaces facing the company storage product + different cloud providers. • full stack bug investigation portal • VM orchestration • Collaborate with other teams to improve the productivity of the entire R&D organization. • Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage, Requirements: • 3+ years of Python development experience (Object Oriented programming - not scripts). • 2+ years experience working on Linux platform, be comfortable with Linux. • Strong technical abilities, problem-solving, design, coding and debugging skills. • Highly motivated and independent • Strong problem solver and out-of-the-box thinker • Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision. • Strong communication abilities • Strong multi-tasking abilities Advantage: • Network, Storage, Virtualization, Docker, Git, HTTP, REST

Description VAST Data is looking for a Senior Infrastructure Developer to join our growing team! This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. Requirements What You’ll Be Doing • Design, build and set up development tools and infrastructure for use by the various teams in the R&D organization. • Among the different tools: • test infrastructure used by the QA • Maintain and develop API and interfaces facing the company storage product + different cloud providers. • full stack bug investigation portal • VM orchestration • Collaborate with other teams to improve the productivity of the entire R&D organization. • Dealing with diverse technologies and domains - Docker, Git, Python, Linux, Python, Storage, Requirements: • 3+ years of Python development experience (Object Oriented programming - not scripts). • 2+ years experience working on Linux platform, be comfortable with Linux. • Strong technical abilities, problem-solving, design, coding and debugging skills. • Highly motivated and independent • Strong problem solver and out-of-the-box thinker • Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision. • Strong communication abilities • Strong multi-tasking abilities Advantage: • Network, Storage, Virtualization, Docker, Git, HTTP, REST

Description We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact. We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in. We are a well-funded, early-stage startup looking for a talented and motivated Backend Engineer specializing in infrastructure to join our founding team. The focus of this role is to build and scale the infrastructure that powers autonomous AI agents automating complex enterprise workflows. You will own the systems, pipelines, and platforms that let our AI agents run reliably, securely, and at scale in production. Your Impact Infrastructure & Platform • Design, build, and own the core infrastructure powering our AI agent platform, from data pipelines to production deployment systems. • Build and scale the backend systems that support high-throughput document processing and data extraction workloads. Cloud Infrastructure and Scalability • Architect and deploy infrastructure on cloud platforms (AWS, GCP, or Azure) with a focus on scalability, reliability, and cost efficiency. • Own containerization and orchestration (Docker, Kubernetes) for all production workloads. • Build and maintain CI/CD pipelines and DevOps practices that let the team ship fast without breaking things. Data Infrastructure • Design and manage data pipelines to process and analyze large volumes of documents and unstructured data at scale. • Build the infrastructure layer connecting AI agents to databases, vector stores, and enterprise systems (ERP, CRM). API & Systems Integration • Build and maintain robust, well-documented APIs connecting AI agents with external systems and enterprise software. • Design for reliability: retries, observability, and graceful degradation across distributed systems. Security and Compliance • Implement authentication and authorization mechanisms (OAuth2, JWT) to secure AI-driven systems. • Ensure compliance with data privacy standards (e.g. GDPR, HIPAA) and drive best practices for secure data handling across the infrastructure. Monitoring and Optimization • Build observability and monitoring systems to track infrastructure health, performance, and cost. • Continuously optimize system performance for speed, reliability, and cost-efficiency at scale. Collaboration • Work closely with AI/ML engineers, product, and the founding team to make sure infrastructure decisions support fast iteration and production-grade reliability. • Participate in code reviews, design discussions, and architecture planning to drive infrastructure strategy. Requirements What It Takes Experience • 5+ years of experience in backend or infrastructure engineering, ideally supporting production AI/ML systems or high-throughput data pipelines. • Proven track record of building and scaling infrastructure in production environments. Technical Skills • Proficiency in Python. • Databases: Proficiency in SQL (PostgreSQL, MySQL) and NoSQL (e.g. Document DB, Vector DB). • Cloud: Deep experience deploying and scaling large production applications on AWS, GCP, or Azure. • Containerization and orchestration: Docker, Kubernetes. • Security: Strong understanding of OAuth2, JWT, and best practices for securing distributed systems. Nice To Have • Experience with RPA (Robotic Process Automation) tools. • Familiarity with graph databases (Neo4j) for managing complex workflows. • Familiarity with Go and Rust. • Experience working alongside AI/ML teams using frameworks like TensorFlow, PyTorch, or Hugging Face.

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 a highly technical Infrastructure Team Lead to establish and lead a new Infrastructure team. This is a hands-on technical leadership role focused on the scalability, performance, and reliability of the systems our product and engineering teams run on. You will design and evolve our core infrastructure: databases, messaging systems, and the services around them- to keep pace with a fast-growing, high-load, multi-tenant system, while building and leading the team responsible for it. This is a leadership role for someone who stays close to the technology: setting technical direction, guiding architecture, getting hands-on with hard performance and scale problems, and working through complex production challenges alongside the team. What You'll Do • Take ownership of our infrastructure's scalability, performance, and reliability — end to end, across a fast-growing, high-volume system • Build and lead a new infrastructure team, hiring and mentoring engineers as the team grows • Dive deep into architecture, databases (Aurora, OpenSearch, Redis), and system design to identify and resolve scale and performance bottlenecks • Work hands-on with messaging systems (Kafka, RabbitMQ) and database infrastructure to keep pace with increasing load • Consolidate infrastructure work under one team and bring structure and clear ownership to this core domain. • Operate independently — you'll be given real ownership and real problems to solve, and you're expected to drive solutions without needing constant guidance • Partner with engineering teams across the company, but as the clear owner of infrastructure decisions, not just an advisor Requirements • 5+ years of hands-on software development / architecture experience and at least 2 years as a team lead/ tech lead, you've built and designed real systems, not just directed others • A proven, demonstrable track record of driving significant performance improvements- measurable gains in efficiency, latency, or system load. • Strong understanding of databases, scalability challenges, and system architecture • Experience across more than one company/environment • A degree (any field, any institution) • Independent, self-driven working style- you take a problem and run with it • Experience with Java is a big plus What Success Looks Like • You build a team that can independently carry infrastructure work • You can take a messy, high-pressure infrastructure problem and turn it into a solved, owned, well-architected system • You help strengthen company culture where scale and performance solutions are happening by design and planning, not reactively. • Leadership can hand you a hard problem and have strong confidence that you will be able to handle it end to end autonomously.

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 Will Be Doing • Own ScaleOps' infrastructure end-to-end - our self-hosted product, its installation and onboarding flows, our SaaS platform, and AI infrastructure • Manage ScaleOps' cloud infrastructure across AWS, GCP, and Azure - networking, security, SSO, and compute • Work closely with customers on deployments and troubleshooting • Collaborate closely with backend, product, and R&D teams to support rapid feature delivery without compromising reliability • Identify and eliminate operational toil through automation and tooling improvements • Maintain security and compliance best practices across the infrastructure stack What You Bring Along • 5+ years of hands-on experience in infrastructure, platform engineering, or SRE roles in high-scale distributed systems • 2+ years of proven experience leading software engineering initiatives and mentoring engineers in a production environment. • Hands-on experience with at least two major cloud providers (AWS, GCP, or Azure) • Solid understanding of networking, security groups, IAM, SSO/OIDC, and cloud-native security principles • A strong ownership mentality — you don't just flag problems, you fix them • Full professional fluency in Hebrew and English • (Nice to have) Deep expertise with Kubernetes, Helm, and Go — you understand the internals and can build on them, not just deploy • (Nice to have) Experience with cloud cost optimization, resource management, or working at a company that sells infrastructure tooling

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 • Own ScaleOps' infrastructure end-to-end — our self-hosted product, its installation and onboarding flows, our SaaS platform, and AI infrastructure • Manage ScaleOps' cloud infrastructure across AWS, GCP, and Azure — networking, security, SSO, and compute • Work closely with customers on deployments and troubleshooting • Collaborate closely with backend, product, and R&D teams to support rapid feature delivery without compromising reliability • Identify and eliminate operational toil through automation and tooling improvements • Maintain security and compliance best practices across the infrastructure stack What You'll Bring • 5+ years of hands-on experience in infrastructure, platform engineering, or SRE roles in high-scale distributed systems • Hands-on experience with at least two major cloud providers (AWS, GCP, or Azure) • Solid understanding of networking, security groups, IAM, SSO/OIDC, and cloud-native security principles • A strong ownership mentality — you don't just flag problems, you fix them • Full professional fluency in Hebrew and English • (Nice to have) Deep expertise with Kubernetes, Helm, and Go — you understand the internals and can build on them, not just deploy • (Nice to have) Experience with cloud cost optimization, resource management, or working at a company that sells infrastructure tooling

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. What We Offer Location: Rehovot,ISR You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. As a Software Engineer at Applied Materials, you’ll dive deep into ground-breaking technologies—like machine learning and AI—to craft novel software solutions that solve our customers’ high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. . Job Description: SW Infrastructure Engineer We are looking for a highly talented Software Engineer to join our unique product team building next-generation applications to control and manage our products. What’s in it for you? You’ll lead infrastructure development for our next generation platform, driving integration between software and common infrastructure domains. This role combines hands-on coding with leadership responsibilities, giving you the opportunity to shape core infrastructure, mentor engineers, and influence cross-domain solutions. Our Group: We are part of the next generation software organization, responsible for developing advanced infrastructure and integration solutions that power Applied Materials’ cutting-edge metrology and inspection systems. Our work ensures scalability, reliability, and seamless connectivity across multiple domains. What you'll be doing: • Lead the development and integration of infrastructure components for our team. • Ensure seamless integration with common infrastructure. • Drive infrastructure projects from design to deployment. • Mentor and guide team members on best practices for infrastructure usage. • Collaborate with cross-domain teams to align infrastructure solutions. What you should have: • 7+ years - Strong hands-on experience in coding and software integration. • Proven track record with Linux, Kubernetes, Domian driven architecture • Experience with DevOps and related infrastructure tools. • Experience in infrastructure projects and team mentoring. • Ability to deliver scalable, reliable, and maintainable infrastructure solutions. Who we are? Applied Materials Israel is home to the Process Diagnostics and Control (PDC) business unit. Based in Rehovot, we develop, manufacture, and market cutting-edge machine learning and computer vision-based metrology and inspection products that are essential elements in wafer fabrication. By playing a significant role in enabling the production of the next generation of microchips, our expertise enables our customers to transform possibilities into reality. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: No Relocation Eligible: No Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology. What We Offer Location: Rehovot,ISR You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. About the Role Applied Material’s Computing Delivery Engineering team owns an end-to-end computing platform for semiconductor manufacturing. Each environment is accompanied by a dedicated mini data center ranging from 3 to 30 hosts, that must be provisioned and configured from bare metal to fully operational state. These systems, which include compute hosts, VMs, containers, network elements, storage, and firewalls, that run fully air-gapped at the customer fab, with no internet, no cloud, and zero tolerance for downtime. We are looking for a Senior Computing Infrastructure Engineer to take direct technical ownership of this platform end-to-end: design it, build it as code, qualify it, harden it, and stand behind it as the highest technical escalation (Tier 4). This is not classic IT and it is not a cloud role, every percent of performance and every minute of uptime translates into real money for our customers’ fabs. You will work shoulder-to-shoulder with software architects to turn next-generation product visions into reproducible, production-grade computing systems. Key Responsibilities • Design & Development of Computing Platforms (60%) • Design and develop end-to-end computing platforms for new inspection products, translate software architects’ requirements into concrete designs covering compute, storage, network, firewall, OS, virtualization, and containers. • Build and own the infrastructure-as-Code stack (Ansible, Bash, Python) that provisions and configures Linux platforms, from bare metal to fully operational state, repeatably and idempotently. • Drive performance optimization across compute, I/O, storage, and network for data-intensive inspection workloads where every percent matters. • Produce detailed High-Level Designs and operational documentation that allow the manufacturing organization to reproduce the system identically across every machine that leaves the factory. • Test & Validation (20%) • Design and execute full test plans that cover every layer of the stack. Host, hypervisor, storage, network, firewall, container/K8s, and every scenario the system may face in the field. • Define readiness criteria and validation gates before a platform is released to manufacturing or deployed to a customer fab. • Build automation that proves configurations are correctly and consistently applied across fleets of hosts. • Tier-4 Operations & Hardening (20%) • Act as Tier-4 the highest technical escalation for production inspection systems running at customer fabs in fully air-gapped environments. We follow a strict “you build it, you run it” DevOps culture: the same engineers who design the system stand behind it. • Drive root-cause analysis across the full stack (network ↔ firewall ↔ hypervisor ↔ storage ↔ OS ↔ application) and feed lessons back into design and automation. • Continuously harden the platform for security, reliability, and supportability under air-gapped constraints (no cloud, on-site-only support). • Maintain and evolve the PDC R&D labs that mirror production for development and qualification. Required Skills & Knowledge Over 10 years of hands-on experience in on-premise infrastructure engineering, with proven production-grade expertise across the following domains: • Production administration of Linux servers (Ubuntu / RHEL family). • Package management, systemd services, user/permission management, NFS shares. • Filesystem hierarchy, networking stack, and security model (sudo, SELinux/AppArmor, firewalls/nftables). • Hands-on with VMware, Hyper-V, or Proxmox: VM lifecycle, networking, and resource allocation. • SAN / NAS hands-on (iSCSI, NFS), distributed storage, RAID or equivalent volume management. • Configuration of managed switches: VLANs, trunking / link aggregation. • L2/L3 troubleshooting: comfort using Wireshark to analyze real traffic. • Writing and managing firewall rules: hands-on with appliance-based firewalls. • Building and managing container images (Docker / Podman): deploying containerized applications in production. • Operating Kubernetes clusters (self-managed or managed): writing and applying Deployments, Services, ConfigMaps. • Strong Ansible plus Bash and/or Python — used as primary tools, not occasional scripts. • Disciplined Infrastructure-as-Code mindset: version-controlled, reviewable, idempotent. • B.Sc. in Computer Science, Computer Engineering, Information Systems, or equivalent technical discipline. • Fluent English written and verbal for daily collaboration with the Bangalore team. Preferred Qualifications • Experience designing or operating systems in air-gapped or fully offline environments. • Background in semiconductor equipment, industrial automation, embedded, or other hardware-coupled software environments. • Exposure to CI/CD pipelines for on-premise systems (Jenkins, GitLab CI, GitHub Actions, Azure DevOps). • Familiarity with on-premise observability stacks — Grafana, Prometheus, ELK, iperf. • Comfort using AI agents as part of the daily engineering workflow — we are heavy users. • Active Directory and selective Windows administration alongside Linux. Why Join Us? • Real ownership, end-to-end. You design the platform, you build it as code, you qualify it, and you stand behind it in production. No throwing things over the wall. • Engineering that matters. The systems you build run inside Intel, Samsung, and TSMC fabs every percent of performance and every minute of uptime translates into millions of dollars for the customer. • Hard problems, not IT. Air-gapped environments, billion-transistor-era data volumes, custom inspection workloads the easy answers from the cloud world don’t apply here, and that’s the fun. • Modern, broad stack. Linux, virtualization, containers and Kubernetes, distributed storage, networking and firewalls, IaC with Ansible/Python and we are heavy users of AI agents in our daily work. • A growth path from systems to development. If you’re a strong on-premise engineer who wants to grow into a development-oriented infrastructure role, this team is built for that transition. • International collaboration. You will work day-to-day with global peers on a shared product, not in a silo. • Stability with scale. Applied Materials 58+ years old, ~35,000 employees in 20 countries combined with the pace of an R&D group shipping next-generation proucts. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: No Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.