DevOps Engineer jobs in Israel

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. Fetcherr is scaling rapidly, and we are transforming our internal infrastructure into a high-velocity, self-service product. This is a senior opportunity to architect the future of our platform, setting the technical standard for how we deliver services while ensuring reliability and developer independence across diverse global markets. Responsabilities: • Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact. • Architectural modularization: Design Kubernetes-native abstractions — controllers and operators — and decouple infrastructure into independent service lifecycles that support rapid iteration. • Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software — versioned, reviewed, tested, and CI-gated. • Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system. Requirements • Strong GCP experience at production scale (GKE, IAM, networking, Cloud SQL/BigQuery). No compromise here. • Kubernetes-native mindset: declarative-first, comfortable with controllers and operators, and a platform-engineering instinct for self-service and separation of concerns. • Everything-as-code discipline: any code ships through a defined SDLC (versioned, reviewed, tested, CI-gated). Terraform (KCC a plus), Helm, GitOps (ArgoCD or similar) in your toolkit. • Software engineering background, or proven strong development ability in Go and/or Python — you write production code, not just glue scripts. • Security awareness baked into how you build: least-privilege IAM, secret hygiene, policy and supply-chain gates, not bolted on after. • Production-first mindset: you design for reliability, observability, and recoverability, and you own what you ship. Nice to have: • Policy-as-code (OPA/Conftest, Kyverno) and supply-chain/CI security tooling. • SLO/error-budget practice and DORA-based delivery measurement. • Multicloud experience (AWS / Azure) — GCP is home, but breadth helps. • Big Data or MLOps exposure (Airflow, Dagster, Ray, Kubeflow). • A point of view on AI-assisted and spec-driven development.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. Fetcherr is scaling rapidly, and we are transforming our internal infrastructure into a high-velocity, self-service product. This is a senior opportunity to architect the future of our platform, setting the technical standard for how we deliver services while ensuring reliability and developer independence across diverse global markets. Responsabilities: • Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact. • Architectural modularization: Design Kubernetes-native abstractions — controllers and operators — and decouple infrastructure into independent service lifecycles that support rapid iteration. • Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software — versioned, reviewed, tested, and CI-gated. • Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system. Requirements • Strong GCP experience at production scale (GKE, IAM, networking, Cloud SQL/BigQuery). No compromise here. • Kubernetes-native mindset: declarative-first, comfortable with controllers and operators, and a platform-engineering instinct for self-service and separation of concerns. • Everything-as-code discipline: any code ships through a defined SDLC (versioned, reviewed, tested, CI-gated). Terraform (KCC a plus), Helm, GitOps (ArgoCD or similar) in your toolkit. • Software engineering background, or proven strong development ability in Go and/or Python — you write production code, not just glue scripts. • Security awareness baked into how you build: least-privilege IAM, secret hygiene, policy and supply-chain gates, not bolted on after. • Production-first mindset: you design for reliability, observability, and recoverability, and you own what you ship. Nice to have: • Policy-as-code (OPA/Conftest, Kyverno) and supply-chain/CI security tooling. • SLO/error-budget practice and DORA-based delivery measurement. • Multicloud experience (AWS / Azure) — GCP is home, but breadth helps. • Big Data or MLOps exposure (Airflow, Dagster, Ray, Kubeflow). • A point of view on AI-assisted and spec-driven development.

Description About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Job Summary AllCloud is looking for a Cloud DevOps Engineer. You will build and deploy complex cloud environments for customers using innovative automation tools and cutting-edge technologies. As a Cloud DevOps Engineer, you will be responsible for setting up, maintaining, and evolving the AWS cloud architecture, as well as for supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers . Responsibilities • Assist in creating a tailor-made architecture. • Deployment of advanced services on the cloud. • Implement automation solutions. • Maintain a feedback loop with the company’s customers to ensure deliveries are in accordance with the customer’s needs and expectations. • Debug, troubleshoot and fix technical issues. • Setup large-scale monitoring and logging solutions. Requirements • 5+ Experience with AWS cloud provider - Must. • Experience with CI/CD platforms such as Jenkins, CircleCI, CodePipeline. • Strong Experience with Container technologies such as Kubernetes, EKS, ECS, Swarm, Docker, etc. • Experience with Infrastructure as Code tools such as Terraform, CloudFormation, CDK, Serverless framework. • IT experience (especially with strong Linux Networking). • Strong foundations with Git and gitflow methodologies. • Scripting abilities in Python/GO/Bash/PowerShell. • Experience with Security Products such as Firewalls, Web Gateways, and Proxies. • Creative troubleshooting skills and out-of-the-box thinking. • Ability to learn various technologies and topics. • Experience working in a customer-facing role. • Hebrew language is mandatory. Advantages • Experience with system monitoring platforms (Datadog, Prometheus). • Experience with centralized logging platforms (ELK). • GitOps Mythology familiarity (ArgoCD, Flux). • Information security orientation. • AWS Certifications. • Experience with production environments. • AWS Landing Zone and Multi-account strategy. • CKA/CKAD certification. AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

Description About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io Job Summary AllCloud is looking for a Cloud DevOps Engineer. You will lead the design, build, and deployment of complex cloud environments for enterprise customers using innovative automation tools and cutting-edge technologies. As a Cloud DevOps Engineer, you will take ownership of setting up, maintaining, and evolving enterprise-grade AWS cloud architectures. You will act as a technical authority, driving infrastructure observability strategies, leading complex troubleshooting and root-cause analysis, architecting end-to-end automation solutions, and mentoring fellow engineers. Responsibilities • Lead the architectural design and implementation of highly scalable, secure, and tailor-made cloud solutions. • Architect and drive the deployment of advanced, enterprise-grade cloud services. • Design and implement comprehensive end-to-end automation and CI/CD strategies. • Act as a trusted technical advisor, maintaining a strategic feedback loop with customers to ensure solutions align with their core business needs and expectations. • Lead root-cause analysis (RCA) and resolution for high-impact, complex technical issues. • Design and oversee large-scale, distributed monitoring, logging, and observability solutions. • Provide technical leadership, code reviews, and mentorship to mid-level and junior DevOps engineers. Requirements • 1 - 2 years of proven hands-on experience with AWS cloud architecture and administration – Must. • Extensive IT background with deep expertise in Linux system internals and advanced cloud networking. • Expert-level experience designing, optimizing, and managing Container orchestration technologies (Kubernetes, EKS, ECS, Docker). • Advanced scripting and development abilities in Python, GO, Bash, or PowerShell for robust automation. • Strong architectural mindset, creative troubleshooting skills, and the ability to independently drive technology adoption. • Expertise in designing and building complex CI/CD platforms (Jenkins, CircleCI, CodePipeline, etc.). • Extensive experience with Infrastructure as Code (IaC) tools and best practices (Terraform, CloudFormation, CDK, Serverless framework). • Deep mastery of Git, Gitflow, and advanced branching/collaboration methodologies. • Strong expertise in architecting and implementing Security Products (Firewalls, Web Gateways, WAF, Proxies). • Deep understanding and hands-on experience designing Serverless architectures. • Proven track record in a senior customer-facing role, effectively communicating complex technical concepts to both technical and stakeholder audiences. • Proven experience managing, scaling, and supporting mission-critical production environments. (Moved from Advantages to Requirements) • Hebrew language is mandatory. Advantages • Hands-on experience scaling and configuring advanced system observability platforms (Datadog, Prometheus). • Experience with centralized logging platforms at scale (ELK/OpenSearch). • Strong familiarity and implementation experience with GitOps methodologies (ArgoCD, Flux). • Deep information security orientation and implementation of DevSecOps practices. • Professional-level AWS Certifications (e.g., AWS Certified Solutions Architect - Professional or DevOps Engineer - Professional). • Proven experience designing AWS Landing Zones and Multi-account strategies (AWS Organizations, Control Tower). • CKA, CKAD, or CKS certifications. AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

Description Upstream delivers a cloud-based, AI-powered behavioral intelligence platform for physical AI and smart mobility. Upstream empowers customers with advanced AI-driven cybersecurity solutions, including detection and response (XDR), AI Security, quality and operational intelligence, cyber threat intel, SOC services, and more. Upstream is looking for an experienced, hands-on Senior DevOps Engineer and SRE Lead to join our operations team, leading the reliability, scalability, and performance of our production environments. As a Senior DevOps Engineer, you will take ownership of our production infrastructure, drive initiatives to improve system availability and operational efficiency, and lead the development and implementation of infrastructure tools and automation solutions at the edge. You will proactively identify and resolve complex operational challenges, optimize system performance, and work closely with cross-functional teams to ensure a stable, secure, and scalable production environment. This is a full-time, hybrid role based in Herzliya, Israel. Responsibilities • Implement and operate a high scale Kubernetes & Cloud solutions • Implement and operate cloud infrastructure in AWS / Azure / GCP • Monitor customer infrastructure and environments • Rollout processes for new services & applications in our infrastructure • Enforce and maintain Cloud and Product Security • Troubleshoot technical issues on the customer environment Requirements • 5+ years of SRE / DevOps Engineer experience • Experience working with Kubernetes, Gitops, Docker in Production systems is a must • Experience working with Linux systems - high level of scripting in Bash / Python • Experience with implementations in a SaaS/PaaS architectures • Understanding of microservices concepts • Experience with OpenShift operators • Experience working with helm • Experience with monitoring systems (Preferably Datadog) • Strong troubleshooting and problem solving capabilities • Experience working with MySQL and PostgreSQL • Motivated, service-oriented, fast learner, and independent • A team player, with excellent collaboration skills Upstream is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, state or local law.

DevOps Infrastructure Engineer Cisco Silicon One is seeking a highly motivated and experienced DevOps Infrastructure Engineer to join our growing infrastructure team. In this role, you will play a key part in accelerating engineering velocity by building and maintaining scalable, highly reliable infrastructure and automation. Your work across CI/CD, infrastructure as code, databases, observability, and system optimization will directly enable our engineering teams to develop, test, and deliver software faster and more efficiently. Meet the Team This position is part of Cisco’s Silicon One organization, based in Israel. Silicon One is the foundation of Cisco’s industry-leading networking hardware products, pushing the boundaries of technology and driving the next generation of high-performance, scalable solutions. You’ll work in a dynamic, multi-site environment that combines the innovation and agility of a startup with the scale and resources of a global technology leader. Our teams work across ASIC, hardware, software, labs, and infrastructure to build cutting-edge networking solutions. Your Impact • Design, build, and continuously improve scalable DevOps infrastructure and engineering workflows • Build and maintain CI/CD pipelines using technologies such as Jenkins and GitHub Actions • Develop and manage Infrastructure as Code and configuration management solutions using Puppet, Ansible, or similar technologies • Deploy and orchestrate containerized services using Docker and Kubernetes • Develop and maintain on-prem Linux infrastructure and system images • Build and operate observability solutions using Prometheus, Grafana, Zabbix, ELK/OpenSearch, and related technologies • Design dashboards, alerts, and SLO/SLI frameworks that provide real-time visibility into infrastructure, pipelines, and lab environments • Develop data collection pipelines and exporters for metrics, logs, and traces across the organization • Drive automation and tooling for anomaly detection and incident response, helping reduce MTTD and MTTR • Partner closely with software, IT, and lab teams to understand their needs and build reliable, scalable solutions • Establish and promote security, reliability, and operational best practices across infrastructure and data platforms • Drive technical improvements and continuously identify opportunities to increase engineering productivity • Create and maintain clear technical documentation, runbooks, and system design documentation Minimum Qualifications • 3+ years of experience in DevOps, SRE, Infrastructure Engineering or a related role • Strong Linux administration fundamentals with experience in on-prem data center or hybrid cloud environments. • Proficiency with Bash and Python for automation, tooling, and operational workflows. • Hands-on experience building or maintaining CI/CD pipelines using Jenkins, GitHub Actions, or similar. • Hands-on experience with monitoring or observability platforms such as Prometheus, Grafana, Zabbix, or similar • Hands-on experience with containerization technologies such as Docker, Podman, Kubernetes, or similar. • Experience with configuration management, infrastructure as code, or GitOps workflows using tools such as Puppet, Ansible, ArgoCD, Flux, or similar. Preferred Qualifications • Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent hands-on experience • Experience with log aggregation platforms such as ELK, OpenSearch, Loki, Splunk, or similar • Experience working with on-premises data centers or hybrid cloud environments • Experience designing highly available and scalable infrastructure • Strong understanding of observability, incident management, and production reliability practices • Experience working in large-scale engineering, lab, or hardware/software development environments Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. Position Overview: We are looking for a hands-on Senior Devops to drive the design, implementation, and evolution of our cloud infrastructure. You’ll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. You’ll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence. Responsibilities: • Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments. • Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents). • Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity. • Champion observability, reliability, and performance — establishing best practices around monitoring, alerting, and system health visibility. • Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems. • Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment. • Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations. Requirements • 6+ years of DevOps or Infrastructure Engineering experience in high-growth product environments. • Proven track record of leading or owning complex system deployments and cloud architectures end-to-end. • Expertise in cloud platforms (preferably AWS) with strong understanding of networking, security, and scalability best practices. • Proficiency in scripting and automation using Python and Bash. • Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent). • Deep familiarity with CI/CD systems (GitHub Actions, Gitlab, Jenkins or similar) and container orchestration (Kubernetes, ECS, or EKS). • Experience building observability stacks (Prometheus, Grafana, ELK, Datadog, etc.). • Excellent collaboration and communication skills — a positive, pragmatic team player who thrives in high-velocity, tradeoff-driven environments.

Description About Buildots Buildots is the world’s most advanced construction intelligence platform. By comparing schedules and BIM against site reality, its advanced AI transforms granular data into insights that unlock operational excellence. Over 100 global giants trust Buildots, including HOCHTIEF, Bouygues, Intel, NCC and VINCI Construction. Its impact is proven at every scale, from multi-family projects to multi-gigawatt data centers. With $297M raised, this is your opportunity to join a high-growth company that's already closing in on unicorn status. About the role At Buildots, our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services — you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate. What you'll do: • Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally. • Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments. • Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently — with automation, testing, and progressive delivery built in. • Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads — from heavy data processing and Computer Vision pipelines to backend services and ML inference — each with unique scaling, performance, and reliability requirements. • Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do. • Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds. • Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one. Requirements: • A seasoned DevOps / Infrastructure engineer (5+ years) with strong hands-on experience in production cloud environments. • Proven expertise operating large-scale, distributed systems — with deep understanding of Kubernetes, networking, and cloud-native architecture. • Strong experience with multi-cloud environments (AWS and/or GCP), Infrastructure-as-Code (Terraform), and GitOps workflows (ArgoCD, Flux, or similar). • Hands-on experience with CI/CD systems (Jenkins, GitHub Actions, etc.). • Solid scripting and automation skills (Python, Bash, or Go). • Proven track record of being a collaborative team player who partners closely with developers, ML engineers, and cross-functional stakeholders across the organization. • Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, Logz.io, or similar). • Experience with databases (relational and/or NoSQL) — including operational aspects like backups, migrations, and performance tuning. • AI-Native Engineering: You are an AI-native engineer who leverages LLMs and agentic tools (like Cursor, Copilot, or Claude) not just for command completion, but as a core operational partner — automating diagnostics, runbooks, and infrastructure workflows so you can focus on the critical things. Why join us? Buildots is building the AI layer construction will run on, and we're moving at a pace that's redefining what growth looks like in this industry. We're partnering with some of the largest builders and investors on the planet to bring intelligence to a market worth trillions of dollars – and hiring smart, ambitious people to help us do it. Own it from day one. We give our people responsibility and autonomy. You get the chance to take the initiative and get the job done. Grow as fast as we do. The company's trajectory sets the ceiling, and right now there isn't one. Join an elite team. We combine world-leading AI, computer vision and construction expertise. This unique blend helps us innovate faster and better than others. Share what you build. Every employee gets the chance to hold equity. You're invested in the outcome, not just working toward it. Requirements Requirements: • A seasoned DevOps / Infrastructure engineer (5+ years) with strong hands-on experience in production cloud environments. • Proven expertise operating large-scale, distributed systems — with deep understanding of Kubernetes, networking, and cloud-native architecture. • Strong experience with multi-cloud environments (AWS and/or GCP), Infrastructure-as-Code (Terraform), and GitOps workflows (ArgoCD, Flux, or similar). • Hands-on experience with CI/CD systems (Jenkins, GitHub Actions, etc.). • Solid scripting and automation skills (Python, Bash, or Go). • Proven track record of being a collaborative team player who partners closely with developers, ML engineers, and cross-functional stakeholders across the organization. • Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, Logz.io, or similar). • Experience with databases (relational and/or NoSQL) — including operational aspects like backups, migrations, and performance tuning. • AI-Native Engineering: You are an AI-native engineer who leverages LLMs and agentic tools (like Cursor, Copilot, or Claude) not just for command completion, but as a core operational partner — automating diagnostics, runbooks, and infrastructure workflows so you can focus on the critical things.

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior DevOps Engineer to join our team. This is a Hybrid role, reporting to the Senior Manager, Software Development Engineering in the Exposure Management & Security Operations department. As a Senior DevOps Engineer for the SecOps product group at Zscaler, you will own and evolve the cloud infrastructure, reliability, and deployment ecosystem across multiple SaaS cybersecurity products. In this position, you will drive a major impact on production maturity, scalability, developer productivity, and product integration as the organization continues to grow. What you’ll do (Role Expectations) • Own and improve cloud infrastructure for scalable, reliable SaaS cybersecurity products • Build and maintain IaC using Terraform and Terragrunt • Manage production AWS EKS clusters, Kubernetes workloads, and cloud services • Develop and optimize CI/CD pipelines with GitHub Actions and GitLab • Partner with teams to improve reliability, automation, developer productivity, and incident readiness Who You Are (Success Profile) • You act like an owner by operating with high integrity, taking accountability for outcomes, and navigating seamlessly between strategic oversight and hands-on execution. • You are a problem-solver who is energized by complex technical challenges and focused on delivering high-impact solutions. • You are a high-trust collaborator who thrives on mutual ambition, constructive feedback, and building strong cross-functional partnerships. • You are a learner with a true growth mindset, constantly expanding your capabilities and seeking feedback to elevate yourself and your team. • You are a positive force who approaches tough technical obstacles with contagious, solution-oriented energy. What We’re Looking for (Minimum Qualifications) • Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving • Demonstrated experience as a DevOps Engineer, Platform Engineer, or SRE in production environments, with deep expertise in AWS cloud services • Comprehensive experience managing production Kubernetes workloads, specifically AWS EKS, Docker containerization, and Helm charts • Extensive hands-on experience with Infrastructure as Code using Terraform and Terragrunt, combined with CI/CD automation via GitHub Actions and GitLab CI • Practical knowledge of GitOps methodologies with ArgoCD, alongside observability tools like Grafana, Datadog, OpenTelemetry, Prometheus, and Alertmanager • Strong programming and scripting skills in Python, Go, or similar languages What Will Make You Stand Out (Preferred Qualifications) • Demonstrate a proven ability to leverage AI technologies and workflows to drive measurable operational efficiency. • Experience with AI-assisted development and automation tools such as Claude Code, Devin, or similar modern tools • B.Sc. in Computer Science, Information Systems, or equivalent practical experience • Experience with AWS AI and data services (Bedrock, SageMaker, Glue), cost optimization, security automation, or advanced SRE practices #LI-MM8 #LI-HYBRID At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: • Various health plans • Time off plans for vacation and sick time • Parental leave options • Retirement options • Education reimbursement • In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

About the Role: We are looking for a Senior DevOps Engineer to join our DevOps team at K Health. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across K Health and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation. What you will do: • Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across K Health and enterprise partner environments. • Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS. • Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment). • Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others. • Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA. • Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests. • Lead development of AI-powered operations tooling and agentic infrastructure. • Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts. • Mentor junior DevOps engineers and establish team-wide engineering standards. What we are looking for: • 5+ years of experience in DevOps, platform engineering, or site reliability engineering. • Deep, hands-on experience with Kubernetes and the surrounding ecosystem - Helm, Helmfile, ArgoCD, Kyverno, cert-manager, and NGINX Ingress. • Extensive experience with Google Cloud Platform - GKE, Cloud SQL, Memorystore, Cloud Storage, IAM, and Workload Identity. • Strong Terraform expertise: modular architecture, multi-environment provisioning, and automated testing. • Advanced knowledge of GitLab CI/CD and GitOps practices. • Proficiency in Python and/or Go. Plus: • Advanced Bash scripting skills. • Experience with secrets management solutions such as Akeyless or HashiCorp Vault. • Experience with database administration across PostgreSQL, Redis, and MongoDB - including DR configuration and operational runbooks. • Experience with Datadog or equivalent observability platform (APM, infrastructure, log management). • Experience with Cloudflare for DNS, CDN, and security rules management. • Demonstrated experience designing and executing disaster recovery programs, including failover testing and runbook authorship. Bonus: • Experience in highly regulated environments - SOC2 and HIPAA. • Excellent communication skills with the ability to lead cross-functional infrastructure initiatives. • Demonstrated leadership experience, including mentoring junior engineers. • Experience with HPC or GPU cluster infrastructure, including Slurm.. • Experience building or operating AI agents or agentic infrastructure. • Experience with microservices architecture and API gateway / reverse proxy patterns. • Experience with AWS. Who We Are: Behind every leading health system is K Health’s AI-powered virtual care engine. Our deeply integrated model modernizes the primary care loop by using AI to put humans first. For our patients, we offer clinical AI (i.e., PatientGPT) and unparalleled access to close care gaps around the clock. For our Providers, we deliver provider-serving agentic solutions (i.e., Perfect Note) to eliminate administrative overload and burnout. And for the health systems, we deploy our top-grade Virtualists in AI-powered virtual clinics 24/7 to capture the patients' care journeys at step one, retain the journey through the system for longitudinal care, and strengthen profitability. We’re founded in 2016, headquartered in New York City, and backed by over $443.5M from leading investors including Valor Equity Partners, Claure Group, Mangrove Capital Partners, 14W, Notable Capital, Lerer Hippeau, Primary Venture Partners, Comcast Ventures, PICO Venture Partners, Max Ventures, and other strategic healthcare partners. We offer competitive compensation packages based on industry benchmarks for function, level, and geographic location. Offer amounts are determined by multiple factors such as a candidate's experience and expertise. We are proud to be an Equal Opportunity Employer and consider applicants for employment regardless of race, ethnicity, religion, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, pregnancy, childbirth and breastfeeding, age, citizenship, military or veteran status, or any other class protected by applicable federal, state, and local laws. We’re deeply committed to building teams as diverse as the patients we serve and strive to cultivate an environment where everyone can bring their most authentic self to work. We depend on our differences to make our team stronger, our workplace more dynamic, and our product accessible to all of our users. We are committed to maintaining the integrity of our hiring process and ensuring a safe environment for all candidates. All communication for job offers from K Health will come from email addresses ending in @khealth.com. K Health will never ask you to provide financial information about yourself during the recruitment process. We will never use personal email accounts or other domains for official correspondence. Our official job postings are only listed on our official website and reputable job boards. Be cautious of job offers from sources other than these platforms.

Description Head of DevOps [Full-time, Hybrid] SNEAK PEEK ⇨ Location: Tel-Aviv District, hybrid (3 days from home) ⇨ Interview process: Technical Interview ⇨ Final Interview ⇨ HR interview ⇨ Referral calls ⇨ Offer WHO ARE WE? At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, AI technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. You can find out more info about us here: www.rounds.com. THE ROLE We are looking for a seasoned and execution driven Head of DevOps. In this role you will drive the evolution of our infrastructure and cloud operations empowering our entire R&D organization. You will lead fully the DevOps aspects of the company including strategic infrastructure management within a multi-cloud environment. In this role you will leverage cutting-edge AI technologies to accelerate important DevOps flows. As a technical lighthouse, you will set the standard for engineering excellence, cloud-native architecture, and operational scale. You will work in a global environment with highly-skilled engineering teams reporting to the VP R&D. What You’ll Do? • Build and lead a strong DevOps team fostering a culture of ownership, collaboration, and technical excellence. • Utilize AI-powered tools and agentic workflows to improve R&D efficiency. • Take end-to-end leadership and project management of large-scale cloud infrastructures, driving technical decisions, execution, and outcomes. • Continuously modernize DevOps practices (CI/CD, GitOps, monitoring etc…) to drive efficiency, agility, and performance across the organization. • Design and maintain cloud environments using Infrastructure as Code. • Our stack - Mainly GCP and AWS, Kubernetes, Terraform, Terragrunt, Node.js, Golang and more… Hiring manager: Vladislav Yermolaev, VP R&D (https://www.linkedin.com/in/vladik1/) Requirements WHAT ARE WE LOOKING FOR? Must-have: • Proven success record managing DevOps team(s) in hyper growth tech companies. • Proven record in building and utilizing AI lifecycles. • Hands-on and expertise in AWS or GCP production environments at scale. • Hands-on and expertise in Kubernetes and managing large scale Prod+Dev environments. • Experience with FinOps and cloud cost optimization. • Experience in backend micro-services. • A proactive “Can-Do” attitude and a drive to build something new. Nice-to-have: • Experience with multi-region/cloud deployments. • Experience in Mobile (iOS/Android) CI/CD. INTERESTED? Our recruitment process consists of the following steps: • Technical interview • Final interview • HR interview • Offer Get in touch at [email protected]. We look forward to hearing from you!

Description Nym empowers healthcare providers with AI-based solutions that simplify healthcare administration. Our technology fully automates medical coding from clinical language, bringing greater efficiency and accuracy in revenue cycle management. Our engine currently processes over 6 million charts annually across more than 300 healthcare facilities in the US. We are backed by top-tier VCs and growing rapidly, with offices in New York City and Tel Aviv. Join us! Role and Responsibilities: Nym is looking for a Senior DevOps Engineer to join our growing team. This role combines expertise with deep DevOps knowledge to ensure the scalability, reliability, and efficiency of our systems. As a key member of our team, you will work closely with engineers, data scientists, and other stakeholders to design, build, and maintain robust infrastructure and services. Requirements • +10 years of experience working with Cloud Native technologies with AWS, in a Kubernetes-based environment. • Proficiency in Python is preferred. • Expertise in building and maintaining CI/CD pipelines (e.g., Jenkins, GitHub Actions). • Strong knowledge of containerization technologies (e.g., Docker, Kubernetes). • Strong Infrastructure-as-Code experience and mindset. • Solid understanding of networking, databases, and security principles. • Taking ownership of wide-scale initiatives to improve scalability, reliability, and engineering velocity.

Description EasySend is a no-code platform for building and optimizing digital customer journeys in insurance, banking, and financial services. Our platform turns paperwork-based processes into revenue-generating customer engagements for some of the largest financial institutions in Israel, the US, Europe, and APAC. Behind that surface, our infrastructure is split the way our customers are. Enterprise customers demand isolation and get it: a dedicated single-tenant environment each, down to their own compute, data stores, identity provider, and sometimes encryption keys we cannot access. Lower-tier customers run on shared multi-tenant infrastructure. More than fifty production environments across six AWS regions, all from one GitOps pipeline. That split is what makes this role heavy. On the shared platform, a single change is instantly global; on the dedicated fleet, it must land correctly everywhere before anyone feels it. Every new customer adds load and cost in a straight line - your job is to break that line, making the platform carry its own weight through self-service, automation, and AI agents, not more hands. Nobody sits between you and the customer. Responsibilities • Both tenancy models, as one system. Terraform, Helm, and ArgoCD delivering to shared and dedicated environments alike. You own the pipeline and the guardrails on it: progressive rollout, blast-radius containment, and drift detection that catches a mistake before a customer does. • Efficiency and cloud cost. Dedicated infrastructure per customer makes unit economics an engineering concern, not a quarterly finance exercise. You own attribution, right-sizing, spot strategy, and autoscaling that actually scales down - and you defend efficiency as a design constraint on every new deployment. • Turning operations into product. Onboarding, version rollouts, and config changes are tickets today; they should be self-service and boring. You decide what gets automated, what goes back to the owning team, and what still needs an expert. • Scale under real load. Temporal, KEDA queue-based autoscaling, and Karpenter are live and still maturing. You own how the platform grows and shrinks against real traffic, and what that costs per customer. • Security engineering for regulated customers. KMS-based key management, SIEM pipelines, WAF policy, certificate and secret lifecycle, per-customer SSO, vulnerability remediation, and turning penetration test findings into shipped fixes. Our customers are banks, insurers, and health funds. Their auditors are effectively part of our roadmap. • AI-driven operations. Our infrastructure repositories are already built for agentic work, with an internal harness of shared skills and agents. You inherit it, extend it, and push it into places it does not reach yet: triage, rollout verification, cost anomaly investigation, log analysis, and the long tail of operational work that has never been worth a script. • Reliability of what you ship. You are on call for your own systems, paged through PagerDuty against alerts you own. Requirements • 6+ years in DevOps, including production ownership of Kubernetes at meaningful scale. EKS preferred. • Operating a fleet, with infrastructure as code. You have run many similar-but-not-identical environments with Terraform, and felt what happens when a change has to reach all of them. You have designed modules other people build on, and you have recovered state when it went wrong. • GitOps in production. You have operated ArgoCD, or an equivalent GitOps controller, running automated sync with pruning and self-healing enabled, and you understand exactly how much power that hands to a single commit. • Deep AWS and Cloudflare as a production edge. You have run AWS at the account, network, and IAM level rather than consumed it, and you have operated Cloudflare in production: WAF policy, origin protection, DNS, and rate limiting. • You treat cloud cost as an engineering metric you own. You have measured it, attributed it, and brought it down - through right-sizing, spot, autoscaling, storage lifecycle, or architecture - and you can talk about what you saved and what it cost you in complexity or risk to save it. • Python and Bash as an engineer, not a scripter. Much of the leverage in this role comes from tooling you write yourself. • You have served regulated enterprise customers. Financial services, insurance, or healthcare - environments where penetration tests, security questionnaires, encryption requirements, and customer-imposed controls shape what you are allowed to build. You know how to satisfy an auditor without freezing the platform. • Genuine AI fluency in how you work. You use agentic coding tools (Claude Code, Cursor, or equivalent) as a core part of your engineering practice, and you have automated real operational work with them. You have a considered view on where to trust an agent in production and where not to, and you can defend it. • CI/CD across a mixed estate. Jenkins, CircleCI, and GitHub Actions all run here. You have owned pipelines in more than one of them and have an opinion about what belongs where. • Open-source observability you have operated, not just read. Prometheus, Grafana, and Loki as systems you have run, scaled, and tuned. • Proactive ownership. You find the problem before it is assigned to you, and work you pick up does not come back. On a team this size, nobody is tracking your queue for you. • Strongly preferred - any of these moves you up the stack: • Temporal.io in production: worker scaling, queue backpressure, and operating it as infrastructure rather than consuming it as a library. • Event-driven autoscaling with KEDA, and node lifecycle management with Karpenter, tuned against real cost and latency targets. • Secret management at fleet scale: SOPS, KMS, key rotation, and hold-your-own-key models where the customer holds the key material. • Multi-region production operations, including data residency and per-region compliance obligations. • Building internal developer platforms or self-service tooling that measurably reduced how often engineers had to ask for help. • Migrating source-control or CI/CD estates, or consolidating fragmented build tooling onto a single modern platform. • Kubernetes network and workload security in depth: CNI policy with Cilium or Calico, service mesh, and enforcing isolation between tenants at the network layer. • Startup instincts plus enterprise discipline. You have worked somewhere small enough that you owned the whole problem, and somewhere serious enough that "move fast" had a blast radius.

Description Who We Are: The 4M story is likely one you haven’t heard before: We are on a mission to unlock access to the world below us, to do for the world below ground what Google Maps did for the world above. By leveraging cutting-edge technology, we are mapping the subsurface infrastructure to make reliable, real-time utility data accessible to the construction industry - completely transforming a traditional industry. We’re a growing startup with 100 employees currently based in Tel Aviv, Israel, and Austin, Texas. The Opportunity As a Senior DevOps Engineer, you will be a key member of a high-performing team focused on building resilient, highly available, and production infrastructures. Your role is to bridge the gap between development and operations by applying software engineering principles to automate, scale, and optimize our cloud ecosystem. Utilizing Terraform for lifecycle management and Amazon EKS for orchestration, you will build and scale robust, self-healing environments. We are looking for an engineer who doesn't just use tools, but understands the Linux foundation they run on. You will work to ensure our systems are transparent, measurable, and elastic through reliable GitOps practices and full-stack observability. You will also implement and maintain essential DevSecOps tools to keep our environments secure. Key Responsibilities • Linux Systems Engineering: Maintain a deep-dive understanding of Linux internals to identify bottlenecks and optimize configurations. • Container Orchestration: Manage production-grade Amazon EKS clusters and implement modern autoscaling solutions like Karpenter. • Full-Stack Observability: Own the migration and maintenance of the Grafana-based observability suite (Grafana, Tempo, Mimir, Loki). • GitOps & IaC: Lead GitOps initiatives with ArgoCD and architect modular Terraform or Crossplane codebases. • Python Tooling: Develop custom tools and AI agents using Python to automate research and development cycles. • Vulnerability Management: Integrate automated image scanning and Software Composition Analysis (SCA) tools into the SDLC. Requirements Required Qualifications • 7+ years of hands-on experience with a cloud provider, preferably AWS. • Strong experience with Infrastructure as Code (IaC) using Terraform. • Deep understanding of Kubernetes (EKS), including architecture, networking, and troubleshooting. • Solid Linux system administration skills. • Proficiency in Python or similar for writing production-grade code and tools. AI-First Mindset We are building an AI-first engineering culture, and we're looking for engineers who are genuinely excited about working this way. You don't need to arrive with a fully formed AI workflow — but you should have the curiosity and the drive to develop one. This means you are experimenting with AI tools (code assistants, LLMs) and see AI as a multiplier of engineering craft. Preferred Qualifications • Experience with Crossplane for cloud-native infrastructure management • Familiarity with DevSecOps practices and security orchestration (policy enforcement, scanning, shift-left security) • Understanding of observability concepts, including hands-on experience with Prometheus, Grafana, and Loki • Experience with Argo CD and GitOps-based deployment workflows

Description Workiz is the AI growth engine for home service businesses, an operating system that runs the day and drives the growth. AI answers every call and books the job. Dispatch fills the board and puts the right tech in front of the customer. Estimates, invoices, and payments handle themselves. And because marketing is built into the same system, the job history a business already owns brings back old customers, fills slow weeks, and recovers estimates that went cold. Operations and demand generation in one platform. Trusted by over 120,000 pros across North America in HVAC, plumbing, garage door, and other trades. We're proud to be ranked #5 on Dun's 100 list of 2025 of Israel's best companies to work for. Who are you? You are passionate about finding infrastructure parts that you can improve You take projects from start to finish covering all infrastructure aspects You care deeply about the quality of your work You are a quick learner and always looking for the latest software trends in k8s/cloud/architecture. You enjoy wearing many hats and jumping between different parts of the stack So, what will you be doing all day? No two days look the same here. You’ll touch everything from Kubernetes and CI/CD to cloud architecture, monitoring and cost optimization - and you’ll have real ownership over all of it. As a member of the infrastructure team, you will work closely with R&D team You will collaborate in designing and creating new features and infrastructure improvements Improve observability and performance of our systems Requirements Ideally, we’re looking for 4+ years as a DevOps Engineer 1+ years of experience with Kubernetes in production. Working with cloud providers - a must. (AWS, GCP, Azure) Experience with Linux Systems - a must. A passion for DevOps culture and technologies Positive & Proactive and "CAN DO" attitude Proven experience with Terraform (or other popular IaC tools) Excellent scripting skills (Bash, Python, Groovy, Go, Ruby, etc.) These would also be nice Former experience as a Developer Hiring process with us At Workiz, we aim to complete our hiring processes at lightning speed, keeping the time between when we receive your CV until you (hopefully) sign with us super short, communicative and transparent. Why You’ll Love Being a Workizer You’ll actually love the product you work with and the people too:) Excellent benefits Team players. Rockstars without the ego. Fast learners that work hard and get S*** done. There is no such thing as a bad idea Diversity isn’t just a buzzword - 45% female %55 male ​​You can grow your career in any direction you choose We know how to have fun! Join our surf club, ping pong tournaments and other spontaneous activities. Oh, and we throw some killer parties We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties

Description This is a unique opportunity to join a fast-growing cybersecurity company at the forefront of securing AI-driven software development. Cycode is redefining how organizations secure software in the age of AI-driven development. Our Agentic Development Security Platform helps enterprises secure the entire software development lifecycle, from prompt to production, through AI governance, deep contextual analysis, and autonomous security. Powered by Cycode AI and Maestro, our orchestration engine, we help organizations identify real risks, prioritize actual exposure, and remediate vulnerabilities at AI speed. Trusted by Fortune 500 enterprises worldwide, Cycode is recognized as a market leader in Application Security, Software Supply Chain Security, and ASPM. Founded in 2019 and backed by leading investors including Insight Partners and YL Ventures, Cycode is building the future of secure AI-native software development. We are looking for a talented and experienced DevOps Team Leader to join our infrastructure team. As the DevOps Team Lead, you will manage and lead the DevOps team. You will provide strong technical skills, enhance operational efficiency, design and implement scalable systems to keep Cycode running smoothly, and support our significant business growth. You will be part of an innovative, high-performance R&D department, working with cutting-edge technologies in a dynamic and agile environment. Our technology stack: • Multi-cloud (AWS, GCP, Azure) • Kubernetes (Native, GKE, EKS, K3S, AKS) • Code (Python, Node.js, Go, Bash) • Databases (MongoDB, ArangoDB, Postgres, Prometheus, BigQuery) • CI/CD (GitLab CI, CircleCi) • IaC (Terraform) Requirements • 1+ years of experience managing a team of DevOps engineers in an Agile environment • 5+ years of experience as a DevOps Engineer in cloud environment • Proven production experience with deploying, running, and operating complex, high-availability, and large-scale web applications on AWS Cloud • Deep expertise in Kubernetes, including different autoscaling strategies • Terraform hands-on experience • Proven production experience with monitoring and observability tools such as Grafana and Prometheus • Deep understanding of scalable distributed systems and microservices architecture patterns Nice to have: • Good understanding and experience with database management

Description Join us at Nayax, a global fintech leader (NASDAQ; TASE: NYAX) revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 12 offices worldwide. At Nayax, you’ll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments. Nayax is looking for a Senior DevOps Engineer to join our DevOps team. The perfect candidate will be a team player with a high level of professionalism and knowledge in DevOps technologies, with a leadership background. TheS enior DevOps Engineer will report directly to the DeOps Team Leader. Your key responsibilities will include: • Provide architectural solutions for complex infrastructure requirements involving large-scale systems and rapid growth • Define and manage the automated production process • Take ownership of technical issues and work with our development group to resolve advanced issues and bugs Requirements What Makes You a Great Fit: • At least 5+ years of experience as a DevOps Engineer - Must • Experience with building CI/CD processes –Must. • Experience with AWS Cloud – Must. (Azure/GCP – Good to have) • Experience with managed K8s clusters on EKS + Kubec'll (Creating, maintaining, and debugging). – Must (AKS/ GKE – Good to have) • Experience with building and developing Infrastructure as Code with Terraform – Must • Experience with Go/Python - Must • Experience with configuration tools like Ansible. • Experience with implementing and configuring monitor tools like Prometheus/Grafana/Icinga2 – Nice to have • Experience working with on-prem data centers, and cloud environments, with a 24/7/365 high-traffic web service – Nice to have • Experience with Linux and Windows Operating SystemsScripting languages Go/Python - Must • In-depth network understanding (Load Balancing, DNS, TCP/IP, Routes, sniffers) - Nice to Have Nice to Have: • Bachelor's degree in computer science/information systems • Previous experience/knowledge in the areas of IoT or financial/banking platforms • Scripting: Bash, PowerShell, JSON, YAML, Python • Tanzu k8s cluster management • Experience with infrastructure/cloud migrations, infrastructure disaster recovery planning and implementation Why Join Nayax? • Take ownership of your work and make a real impact on our customers — you'll own real infrastructure challenges at scale, directly impacting the reliability and performance of a global payment platform used in 120+ countries. • Join a fast-growing global fintech company that values innovation, teamwork, and exceeding customer expectations — with 1,200+ employees across 12 offices, Nayax is a NASDAQ-listed company that moves fast and builds to last. • Work on large-scale, high-traffic infrastructure — design and manage production systems that handle 24/7/365 payment processing, combining cloud, on-prem, and IoT environments. • Shape the architecture, not just maintain it — this is a senior role with real influence over infrastructure decisions, CI/CD processes, and the automated production pipeline. • Be based at our vibrant HQ in Herzliya — join a large, collaborative engineering team of 600+ employees, just a short walk from the train station. Learn More about Nayax Founded in 2005, Nayax provides an end-to-end platform for payments, empowers businesses to grow revenue, reduce operational costs, and deliver seamless commerce experiences. Our customer-first mindset and commitment to in-house innovation have positioned us at the forefront of the cashless payment revolution, serving the unattended and retail sectors around the world. We support over 80 payment methods in 60+ currencies, hold a European payment institution license, and have formed strategic partnerships with global financial institutions to deliver powerful, scalable solutions. With more than 1,200 employees across 12 global offices, Nayax operates in 120+ countries. Our global headquarters in Herzliya Hills, Israel, is our largest site, housing over 600 employees across 20+ departments. At Nayax, we believe in creating long-term impact through loyalty tools, omnichannel solutions, and an agile ecosystem of value-added services. We're proud to support businesses in reaching new heights and we're always looking for innovative, passionate individuals to join us.

Description TeraSky is a global technology solution integrator specializing in AI, Cloud, DevOps platforms and Data. Since 2010, we have helped more than 1,000 organizations adopt advanced technologies through over 4,000 complex deployments, including Kubernetes platforms, modern data environments, and Generative AI solutions. Our team of 300+ experts works closely with leading technology partners, including AWS, Microsoft, Google, and VMware, to design, implement, and operate scalable enterprise environments. If you’re excited about working with leading experts, modern technologies, and complex, high-impact projects, TeraSky offers an environment where you can grow and make a real impact 🚀 We are looking for an experienced Senior DevOps & Platform Engineer to join our DevOps team and help customers modernize their software delivery platforms, cloud infrastructure, and engineering practices. This role combines hands-on engineering, software development, platform architecture, and customer-facing consulting. You will work directly with customers to assess their development lifecycle, understand their tooling and processes, and design scalable, secure, and automated solutions that accelerate software delivery and improve developer experience. Responsibilities • Design, implement, and maintain cloud-native platforms across AWS, Azure, and Kubernetes environments • Implement and optimize Kubernetes platforms and cloud infrastructure solutions for enterprise customers • Build CI/CD pipelines, GitOps workflows, Infrastructure as Code solutions, and deployment automation • Develop automation, integrations, and platform services using Python, Go, and modern engineering practices • Lead customer discovery sessions, technical assessments, and workshops to understand existing development and operational processes • Interview Development, Operations, Security, and Leadership teams to identify challenges and improvement opportunities • Design target-state architectures, platform roadmaps, and implementation plans • Implement observability, monitoring, logging, and security best practices across customer environments • Deliver technical presentations, workshops, and knowledge-transfer sessions • Contribute reusable automation, documentation, and internal platform assets Requirements • At least 5 years of experience in DevOps, Platform Engineering, Cloud Engineering, or Software Engineering roles • Strong hands-on experience with Azure cloud platform • Mandatory hands-on experience with Kubernetes (K8s) and the cloud-native ecosystem • Strong experience designing and implementing CI/CD pipelines and DevOps automation • Hands-on experience with Infrastructure as Code tools such as Terraform, OpenTofu, Pulumi, or CloudFormation • Strong programming skills in Python and/or Go, including API integrations and automation development • Experience with GitOps methodologies and tools such as Argo CD or Flux • Experience with observability and monitoring tools such as Prometheus, Grafana, ELK, or OpenSearch • Excellent communication skills with the ability to engage customers, conduct assessments, and present recommendations • Experience in consulting, professional services, Platform Engineering, or DevSecOps environments is an advantage

Description Wiliot was founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a self-powered computing element that harvests radio frequency energy, bringing connectivity and intelligence to everyday products and packaging. This revolutionary combination of cloud and semiconductor technology is already being used by some of the world’s largest consumer, retail, food, and pharmaceutical companies to transform how products are made, distributed, sold, used, and recycled. Our investors include SoftBank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm, and PepsiCo. Responsibilities: • Own operational responsibility for the application and platform layers • Oversee and drive production operations end-to-end: deployments, maintenance, scaling, high availability and enhancements across AWS and GCP. • Operate Kubernetes in productions at scale across AWS EKS and GCP GKE • Manage all infrastructure as code • Participate in on-call, lead and participate in incident management: triage, mitigation, and clear stakeholder communication during live incidents. • Own deployment tooling, troubleshooting, and performance tuning across compute, networking, and data layers. • Contribute to cost visibility and FinOps practices across cloud providers. Requirements • 5+ years running production systems, hands-on. • Strong AWS experience (GCP a plus). • Production Kubernetes — networking, autoscaling, resource management, etc • Terraform (Terragrunt/Pulumi) as a daily tool, including modules and state. • Helm , GitOps with ArgoCD • GitHub and GitHub Actions; pipeline-as-code. • Solid Linux and networking: DNS, TLS, load balancing, VPC/routing. • Prometheus/Cortex, Grafana, Loki, or equivalents • Scripting in Python, Go, or Bash; comfortable reading application code. • Clear written English; • Experience in a distributed, global team. Advantage • Development background. • Kafka, MQTT, or similar messaging at scale. • Data platform experience (Databricks, Spark,). • FinOps: cost allocation and unit economics. • Cloud security and compliance (SOC 2, CIS, CSPM). • Effective use of AI-assisted engineering tooling. #LI-Hybrid

Description As DevOps Team Lead, you'll lead in matrix a team of DevOps engineers who work alongside R&D teams to deliver new features in Earnix's cloud-based decisioning products for global insurers and banks. Your engineers bring the infrastructure, deployment, and operational side of each feature, from design through production. You own your engineers' growth, standards, and technical quality, while their day-to-day work runs inside other teams' delivery plans. Success means features that ship on time, run reliably in production, and are built the right way from the start. Your team also takes part in the on-call rotation for Earnix's main products, so production reliability is part of the job, not an afterthought. What You'll Do: Lead, mentor, and grow a team of DevOps engineers who work with multiple R&D and product teams. Lead within a matrix structure, where your engineers take part in other teams' planning and delivery while you own their professional growth, engineering standards, and technical direction. Partner with R&D group leaders, product managers, and architects to plan the DevOps work each new feature needs, and to allocate the right people to it. Balance competing priorities across the teams you support: manage capacity, make trade-offs transparent, and escalate when priorities conflict. Bring DevOps into feature work early: design reviews, non-functional requirements, deployment strategy, security, cost, and production readiness. Keep practices consistent across teams, so that infrastructure, pipelines, and deployments follow shared standards rather than one-off solutions. Work closely with the Cloud Platform team to use and extend shared platform capabilities, and feed back requirements that come from feature work. Improve delivery speed through automation, AI-assisted and agentic engineering workflows. Ensure the production readiness of new features: observability, alerting, runbooks, and smooth handover to Support and operations. Lead your team's participation in the 24/7 on-call rotation for Earnix's main products, including fair scheduling, readiness, and escalation paths. Drive incident response and blameless post-mortems, and make sure lessons learned turn into fixes in the teams you support. Make sure on-call engineers have what they need to handle incidents in products they didn't build: runbooks, dashboards, alerting, and knowledge sharing with R&D teams. Define and track team goals and KPIs that cover delivery predictability, quality, and satisfaction of the teams you support. Requirements You'll Do It Using: 7+ years of DevOps experience, including at least 2 years managing engineers. Proven experience leading in a matrix organization, where the people you manage work day to day with other teams or also answer to other leads. Experience delivering features alongside product and R&D teams in an agile environment. Strong stakeholder management, with a track record of aligning several teams on priorities and resolving conflicts constructively. Hands-on experience with on-call and incident management for production SaaS systems, ideally including leading incident response. Production expertise with AWS, Kubernetes (EKS), and Terraform. Strong background in CI/CD (Jenkins or equivalent), GitOps (ArgoCD), Helm, and Docker. Solid cloud networking, security, and IAM fundamentals. Hands-on experience with observability tools such as Prometheus, Grafana, or Datadog. Scripting in Python and/or Bash. Excellent communication skills, with the ability to adapt the message for engineers, product managers, and senior leadership. Advantages: A background as a software developer, or experience working closely with application code. Experience with platform engineering concepts and internal developer platforms. Familiarity with FinOps and designing features with cost in mind. Familiarity with AI-assisted and agentic development tools (e.g. Cursor, Claude). Experience in a global company working across time zones. You'll Excel By: Leading through influence as well as authority. Thinking like a product engineer: caring about what ships and how it performs for customers. Staying structured and calm when several teams need your people at once. Keeping a steady head during production incidents, and caring about your team's sustainability on call. Being proactive, accountable, and collaborative in a fast-paced, growing environment.