Infrastructure Engineer jobs in Tel Aviv-Yafo

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.

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.

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.

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 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