DevOps Engineer jobs in Israel

Description Bagira is a leader in the field of training and simulation systems with a track record of delivering high-end, customized, cost-effective solutions for mission readiness. Bagira’s simulators are being used by hundreds of thousands of soldiers at more than 40 sites worldwide. Bagira is looking for a DevOps Lead to join our engineering team at Bagira. We are looking for a highly motivated and experienced technical leader with strong leadership qualities, a can-do attitude, and a passion for building secure, scalable cloud architectures. In this role, you will own the cloud architecture vision and execution, work closely with development teams to enable high-velocity delivery, and lead the DevOps team through mentoring, best practices, and hands-on technical leadership. What will you do? • Lead the end-to-end cloud architecture, design and implementation, with a strong focus on security, scalability, and reliability. • Own and evolve the DevOps roadmap, tooling, and operating model across R&D. • Partner with software architects and developers to design deployment patterns, service architecture, and production-grade infrastructure. • Lead, mentor, and grow the DevOps team, set technical standards, conduct design reviews, and drive professional development. • Build and maintain CI/CD pipelines, release processes, and automation to improve quality and delivery speed. • Implement Infrastructure as Code (IaC) and configuration management, ensuring environments are reproducible and auditable. • Establish cloud security best practices, including IAM, secrets management, network segmentation, secure baselines, and continuous compliance. • Design observability practices (monitoring, logging, alerting, tracing), define SLOs/SLAs, and improve incident response readiness. • Optimize cloud cost and performance, including capacity planning, scaling strategies, and continuous efficiency improvements. • Take part in hands-on execution when needed, especially in early-stage architecture and key infrastructure components. Requirements • 7+ years of experience in DevOps, SRE, Platform Engineering, or Infrastructure roles, including at least 2 years leading a team or technical leadership of a DevOps function. • Strong experience designing and operating cloud infrastructure (AWS, Azure, or GCP), including networking, compute, storage, and managed services. • Proven experience building secure and scalable architectures, including IAM, security controls, encryption, secrets management, and secure networking patterns. • Strong hands-on experience with CI/CD (for example GitHub Actions, GitLab CI, Jenkins, Azure DevOps) and modern release practices. • Strong experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi) and automation scripting (Python, Bash, or similar). • Experience with containers and orchestration (Docker, Kubernetes, Helm), including production operations and scaling. • Experience with observability stacks (Prometheus, Grafana, ELK/OpenSearch, Datadog, Splunk, or similar) and incident management processes. • Solid understanding of Linux, networking fundamentals, and troubleshooting complex production issues. • Excellent communication skills, ability to collaborate across teams, and a practical leadership approach.

About Avon AI Avon AI is the management and control platform for enterprise conversational AI. Enterprises are deploying AI agents faster than they can govern them — Avon AI gives them one place to manage those agents and the knowledge behind them: continuous quality monitoring of real conversations, proactive testing and simulation before changes ship, knowledge-base management, and real-time guardrails that can sit inline in the conversation path to block, redact, or correct what an agent says. We are agent-agnostic: Avon AI works with agents our customers built themselves and with third-party agents they only integrate with — across any framework or vendor. Customers run us as SaaS on AWS, or deploy the full platform inside their own private cloud when regulation demands it. We're a small, fast-moving team with offices in Tel Aviv, working with enterprise customers in finance, healthcare, insurance, travel, and more. About the Role We're looking for a DevOps / Platform Engineer to own our infrastructure end to end- both sides of it. Side one is our multi-tenant SaaS on AWS: you build it, you run it, you keep it fast, secure, and up. Side two is the part that makes this role unusual — our enterprise customers deploy Avon AI inside their cloud (and sometimes fully air-gapped, on-prem environments). You'll own that too: packaging the platform, running the installation with the customer's infrastructure and security teams, and being the person on the call when their environment doesn't look like anyone's reference architecture. This is a customer-facing engineering role. You'll be in rooms with enterprise IT, security, and platform teams- walking them through our architecture, answering security review questions, and unblocking deployments. If you want a pure behind-the-scenes infra job, this isn't it. If you like owning infrastructure and being the trusted technical voice in front of a customer, read on. You'll be our first dedicated DevOps hire, which means you inherit real systems in production and a lot of room to shape how they evolve. Key Responsibilities • EKS, networking, data stores, CI/CD, cost, and uptime. Build and evolve it with Infrastructure as Code. • Maintain and improve our Helm charts and container distribution so Avon AI installs cleanly in a customer's Kubernetes cluster. • Plan and execute installations in customers' private clouds and on-prem/air-gapped environments, working hands-on with their infrastructure teams from kickoff through go-live. • Support security reviews and architecture discussions, and translate enterprise IT constraints back into our roadmap. • IAM, network segmentation, secrets management, WAF, and the controls enterprise customers audit us on. • Metrics, logs, tracing, and alerting for our SaaS, and self-contained monitoring for customers who won't ship telemetry outside their network. • CI/CD pipelines, ephemeral PR sandboxes, release automation, and local development so engineers ship quickly and safely. • For our SaaS tenants and for deployed customer installations, including on-call ownership of what you build Requirements • 4+ years as a DevOps Engineer, Platform Engineer. • Strong hands-on AWS- EKS, EC2, VPC, IAM, S3, Lambda, CloudFormation/CDK, WAF. • Deep Kubernetes knowledge- cluster architecture, networking, and real production debugging. Helm authoring is a must, not a nice-to-have: our charts are the product our customers install. • Infrastructure as Code- Terraform, CloudFormation, or equivalent, with a real automation mindset. • CI/CD ownership- GitHub Actions (preferred), Jenkins, or similar, including release and artifact pipelines. • Docker and container packaging- multi-service images, registries, and distribution to environments you don't control. • Strong scripting and automation- Python and Bash. • Monitoring and observability- Prometheus, Grafana, OpenTelemetry, DataDog, Coralogix, CloudWatch, or similar. • Excellent English, written and spoken, and genuine customer-facing skills — you can lead a technical call with an enterprise customer's infra and security team, explain an architecture clearly, and stay calm when a deployment is blocked. • Proven track record running highly available, production-grade, service-oriented systems. Our Pagaya Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

Description Mentee Robotics, now part of Mobileye, brings world-class robotics expertise, together with Mobileye's decades of leadership in computer vision, machine learning, and autonomous driving technologies. Building on that foundation, Mentee by Mobileye is creating the "MenteeBot", the AI-first humanoid robot that combines perception, reasoning, learning, and advanced dexterous manipulation, designed to work alongside people in their everyday lives, at the workplace and in the home. At Mobileye, our technologies power more than 230 million vehicles worldwide and have helped shape the future of autonomous mobility. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for real life. Why Mentee • Real ownership. You'll build the DevOps foundation from the ground up and set the practices the whole engineering team works by, not inherit and maintain someone else's playbook. • See your impact fast. We're small enough that the systems you build are used across the company within days, not quarters. • Innovation at the frontier. Work alongside researchers and engineers across ML, perception, control, and hardware, building infrastructure for complex challenges that require unique, first-principles engineering. • Build for scale that matters. Robotics workloads (training, simulation, HPC) push infrastructure in ways typical web companies never hit. The technical depth here is real. Responsibilities • Architect and build GitOps-based CI/CD pipelines from the ground up, from code integration through testing to deployment • Build and scale our cloud infrastructure as code with Terraform • Build observability and deployment systems that span cloud, simulation, and the robot fleet • Design systems for performance, scalability, and reliability as workloads grow • Build automation in Python and Bash to engineer away manual, repetitive work • Debug deep, novel infrastructure problems and design out their root causes for good • Establish the DevOps standards and practices the whole engineering team builds on Requirements • 4+ years of DevOps experience building and scaling complex, large-scale production infrastructure • Experience designing and building new infrastructure, not only operating what already exists • Strong scripting skills in Python and/or Bash • Deep working knowledge of Git and version control workflows • Hands-on experience building CI/CD pipelines with GitHub Actions • Strong Linux systems administration and hands-on debugging across systems, networks, and applications Advantages • Centralized logging and observability platforms (e.g. ELK, Datadog) • Familiarity with MLOps tooling and workflows • Experience with robotics or related fields • Working knowledge of Kubernetes and cloud-native tooling • Experience managing HPC clusters (e.g. Slurm)

Description At Sunbit, we're building financial technology that puts people first. By combining intelligent decisioning with a personalized, transparent approach, we help consumers access the payment options that are right for them while empowering merchants to build stronger customer relationships. Engineering is at the heart of how we make that happen. We build scalable distributed systems, cloud-native services, intelligent data platforms, and AI-powered solutions that enable real-time financial decisions at scale. By leveraging modern engineering practices and integrating AI into both our products and development workflows, we solve complex technical challenges, accelerate innovation, and continuously improve the way we build software. Every service, model, and architectural decision we make directly impacts our products, our customers, and the future of financial technology. About The Role: Sunbit is looking for an independent Senior DevOps Engineer who thrives in a fast-paced environment. You will join our centralized DevOps team, serving as a pillar of reliability and innovation for the entire engineering organization. This is a 50/50 "Build vs. Run" role. Splitting your time between building modern automation and improving our developer experience and operational excellence, ensuring our production environments are rock-solid, secure, and highly available while managing the live environment from server infrastructure all the way to the application. Tasks you will take part in: • Design and implement next-generation CI/CD automation flows to streamline the path from "Code" to "Production." • Lead the evolution of our Infrastructure-as-Code (Terraform) to make our systems more modular and self-service for developers. • Collaborate with backend teams to architect scalable microservices and optimize datastore performance (RDS, MongoDB). • Embrace AI-powered development tools (Cursor, Claude Code) to automate toil and accelerate infrastructure delivery. • Full ownership of our AWS accounts and multi-cluster Kubernetes environments. • Manage and fine-tune live production environments, ensuring 99.9% uptime for our mission-critical fintech services. • Drive our Observability strategy (Datadog/Grafana) to proactively catch issues before they impact our customers. • Participate in a weekly on-call rotation, serving as the first line of defense for platform reliability. is used for creating requisitions 'from scratch' Requirements Requirements: • 5+ years of experience managing high-scale production systems. • Mastery of AWS: Deep knowledge of AWS services, security best practices, and account management. • Orchestration & Containers: Expert-level experience with Kubernetes (EKS) and Docker. • Automation-First Mindset: Proficiency in Terraform and at least one high-level language (Python, Go, or Bash). • Database Ops: Solid understanding of the DevOps aspects of MySQL/RDS and MongoDB (scaling, backups, performance tuning). • SRE Discipline: Strong experience with monitoring and logging stacks like Datadog, Grafana, or Prometheus. • Team Player: Strong communication skills and a "can-do" attitude—you enjoy solving problems as part of a collaborative squad. • Experience with AI tools and a strong interest in continuously exploring and applying them in everyday work are highly valued. Advantages: • Security Knowledge: Experience with FW, WAF, IPS/IDS, and SELinux. • Data Infrastructure: Familiarity with Data tools like Kafka, Spark, Snowflake or Data Lakes. • Multi-Cloud: Familiarity with hybrid or multi-cloud architectures. Recruitment Fraud Disclaimer: We’ve been made aware of fraudsters impersonating Sunbit employees during the hiring process. Please note that all official communication will come from an @sunbit.com email address, through our applicant tracking platform @sunbit.comeet-notifications.com or directly via LinkedIn. We will never ask for your age, Social Security number, bank account details, payment of any kind, or other unrelated personal information during the application process. Our hiring process always includes interviews, either by phone, zoom, or in person, before any offer is made. If something feels suspicious, please contact us at HR to confirm. We ask that you contact HR only about potential instances of fraud. HR does not reach our recruiting team directly. Your application directly through the posting is the best way to ensure that your candidacy is reviewed by our team. Due to the volume of applications, we will not respond to nor forward emails about your candidacy that are sent to HR directly, and your email about your application will be deleted from our systems.

Description At Sunbit, we're building financial technology that puts people first. By combining intelligent decisioning with a personalized, transparent approach, we help consumers access the payment options that are right for them while empowering merchants to build stronger customer relationships. Engineering is at the heart of how we make that happen. We build scalable distributed systems, cloud-native services, intelligent data platforms, and AI-powered solutions that enable real-time financial decisions at scale. By leveraging modern engineering practices and integrating AI into both our products and development workflows, we solve complex technical challenges, accelerate innovation, and continuously improve the way we build software. Every service, model, and architectural decision we make directly impacts our products, our customers, and the future of financial technology. About the Role Sunbit is looking for an Principal devops & Infra Tech Lead to direct the technical vision across our Infrastructure Group (DevOps, Data Infrastructure, and Backend Platform).This person is deeply experienced in the DevOps and Data Infrastructure worlds, with solid working knowledge of the backend (Java) stack - enough to challenge service architecture and align infrastructure decisions with how services are actually built and run.This is a cross-cutting, technical role. The Technical Lead drives architecture, eliminates silos between teams, standardizes foundational engineering practices, and mentors senior engineers across the group Team tasks you will take part in • Act as the infrastructure technical lead within the R&D organization, directly influencing Sunbit’s broader technology roadmap. • Drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness. • Collaborate with technical leads across engineering to ensure cross-group implementations align with Sunbit’s overall technical strategy. • Design and execute the rollout of AI infrastructure, including governed model access, LLM proxy architectures, inference/serving platforms, and MCP and agent infrastructure. • Establish AI as a first-class engineering capability across Sunbit (AI SDLC) by deploying governed coding agents, IDE assistants, AI-assisted code review, testing, and documentation-enforcing guardrails, cost controls, and usage visibility to deliver a measurable shift in throughput. • Architect and continuously evolve CI/CD systems and delivery pipelines at scale to reduce friction and elevate developer safety standards. • Collaborate directly with backend teams to architect scalable microservices and optimize datastore performance across RDS MySQL, MongoDB, and Snowflake. • Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, and system health. • Cloud security, and incident management processes, ensuring systems remain resilient, secure, and compliant. Requirements • 8+ years in infrastructure/backend engineering, with deep hands-on expertise across both DevOps and Data Infrastructure. • Technical leadership - Proven track record leading technical direction in complex, distributed environments (as tech lead, staff/principal engineer, or hands-on team lead). • Mastery of AWS: Deep knowledge of AWS services, security best practices, account management, and cost optimization • Data Infrastructure Depth: Hands-on experience scaling and managing complex data platforms, including Snowflake, Apache Airflow, MongoDB, RDS MySQL, and streaming/batch framework concepts (Kafka, Spark). • Orchestration & Containers: Expert-level Kubernetes (EKS) and Docker; strong Terraform, GitOps, and CI/CD (GitHub Actions, ArgoCD). • Engineering Standards: Deep understanding of SRE principles, SOC 2 security compliance, cloud networking (WAF, VPCs, IAM) • Database Ops: Solid understanding of the DevOps aspects of MySQL/RDS and MongoDB (scaling, backups, performance tuning). • Backend: Working proficiency in Java microservices: able to read, review, and challenge backend architecture and service dependencies. • Team Player: Strong communication skills and a "can-do" attitude - you enjoy solving problems as part of a collaborative squad. Advantages • Technical background in fintech, loan servicing, or compliance-heavy financial architectures. Recruitment Fraud Disclaimer We’ve been made aware of fraudsters impersonating Sunbit employees during the hiring process. Please note that all official communication will come from an @sunbit.com email address, through our applicant tracking platform @sunbit.comeet-notifications.com or directly via LinkedIn. We will never ask for your age, Social Security number, bank account details, payment of any kind, or other unrelated personal information during the application process. Our hiring process always includes interviews, either by phone, zoom, or in person, before any offer is made. If something feels suspicious, please contact us at HR to confirm. We ask that you contact HR only about potential instances of fraud. HR does not reach our recruiting team directly. Your application directly through the posting is the best way to ensure that your candidacy is reviewed by our team. Due to the volume of applications, we will not respond to nor forward emails about your candidacy that are sent to HR directly, and your email about your application will be deleted from our systems.

Description Paragon is on a mission to transform the world of cyber intelligence. Based in Tel Aviv, our innovative team is made up of top-tier talent who are passionate about making an impact. At Paragon, you’ll find the freedom to think boldly, collaborate with purpose, and grow alongside a team united by a shared mission — striving for excellence, and always looking out for one another. Responsibilities • Build and maintain our evolving full CI/CD. • Maintain and improve Dev, Staging and Prod environments to be scalable, highly available, resilient and secure. • Codification of infrastructure using industry leading tooling such as Ansible, Terraform, Helm and Packer. • Implement monitoring and logging solutions for applications in a Kubernetes based environments. • Implementation and codification of registries and package managers such as Artifactory and Harbour. • Taking part in deep-dive troubleshooting and driving technical post-mortem discussions to identify the root cause of complex issues. Requirements • 5+ years of proven experience working with Linux operation systems (Debian/Ubuntu preferred). • Proven experience with Kubernetes logging stack (such as EFK) and monitoring stack (such as Prometheus/Grafana/Mimir). • Proven experience with CI tools such as Jenkins, Gitlab-CI. • Proven experience with CD tools such as ArgoCD. • Proven experience with infrastructure as code tools like Terraform/Ansible/Packer. • Proven experience with Kubernetes infrastructure (Provisioning and managing Kubernetes HA clusters). • Proven experience with Kubernetes templating mechanism such as Helm. • Proven scripting skills, Bash/Python/Java/Go or other programming languages. • Proven experience with CI/CD concepts and implementations. • Solid understanding of Networking Technologies and concepts. Advantages • Experience with Rancher/K3S. • Experience with Air gapped Kubernetes ecosystem. • Experience with Microservices ecosystem. • Experience with DBs (SQL/NoSQL).

Description Chips Talk, We Listen proteanTecs is a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? proteanTecs is the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics. Here at proteanTecs, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices – we work with the world's largest and most notable companies in tech. Why proteanTecs is a great place to work: • Fast-paced and impactful: We're a mission-driven startup, so you'll tackle new challenges daily, wear many hats, and see your work directly influence the future of electronics. • Supportive company culture: Learn from the best. Our 200+ team members are experts in their field with a proven track record of success, and they're committed to fostering a collaborative and supportive work environment. • International presence: We're a multinational company with a diverse team across multiple locations around the globe. You'll collaborate on projects with international impact, gaining a global perspective of the tech industry. • Work with industry leaders: Our solutions are used by the biggest names in tech. You'll be part of the team creating the next generation of groundbreaking products. • Cutting-edge playground: We use the latest machine learning, platforms, and tools to push boundaries and achieve breakthroughs. • Real-world impact: Our work keeps data centers, cars, and other critical systems running smoothly. Your work will directly contribute to safer, more reliable electronics. • We are here for the win: Backed by industry veterans and leading investors, we offer a stable and secure work environment with plenty of room for growth. proteanTecs is looking for an experienced and hands-on DevOps Team Lead to bridge the gap between individual engineering execution and strategic leadership. Reporting directly to the DevOps Director, you will guide a team of DevOps Engineers, drive technical excellence, and ensure the smooth delivery of infrastructure, automation, and CI/CD capabilities across the organization. This role combines technical depth with people leadership — you are equally comfortable reviewing a Terraform plan and running a team retrospective. Requirements Experience & Background • 5+ years of experience in DevOps, Site Reliability Engineering, or a related field. • 2+ years in a team lead, tech lead, or senior individual contributor role with mentorship responsibilities. • Proven track record of leading small-to-mid-size engineering teams in a fast-paced environment. Technical Skills • Strong hands-on expertise with Kubernetes, Helm, Terraform, and Terragrunt. • Deep experience with CI/CD tooling — GitHub Actions, ArgoCD, or equivalent. • Proficiency in at least one major cloud platform: AWS, Azure, or GCP. • Experience with monitoring and observability stacks: Prometheus, Grafana, ELK. • Solid scripting skills in Python and/or Bash. • Knowledge of container security, Vault, and infrastructure cost management. • Familiarity with Ansible, Docker, and networking/DNS fundamentals. Leadership & Soft Skills • Excellent communication skills — able to translate complex technical topics to non-technical stakeholders. • Strong organizational skills with the ability to manage competing priorities and deadlines. • A collaborative, people-first mindset with a focus on team success over individual contribution. • Comfort working across time zones and with distributed, international teams. • Proactive problem-solver with a continuous improvement and automation-first mindset. Nice to Have • Experience with large-scale SaaS or data-intensive environments. • Familiarity with Apache Flink, ElasticSearch, Vertica, or hybrid cloud deployments. • Exposure to Keycloak (OIDC), Tableau, or enterprise identity management. • Customer-facing or on-site deployment experience. Responsibilities Team Leadership & Management • Lead, mentor, and support a team of DevOps Engineers, fostering a culture of ownership, collaboration, and continuous improvement. • Conduct regular 1:1s, provide constructive feedback, and support the professional growth of team members. • Coordinate workload distribution, sprint planning, and prioritization across the team in alignment with organizational goals. • Act as the primary point of escalation for technical challenges within the team. • Work closely with the DevOps Director to translate the DevOps roadmap into actionable team-level objectives. Technical Execution • Design, implement, and maintain CI/CD pipelines using GitHub Actions and ArgoCD. • Manage and evolve cloud infrastructure across AWS, Azure, and/or GCP using Terraform, Helm, and Kubernetes. • Lead automation initiatives to improve deployment reliability, system scalability, and developer productivity. • Ensure robust observability through Prometheus, Grafana, and ELK, and participate in incident management and on-call rotations as needed. • Champion infrastructure security best practices, including secrets management (Vault) and container security. • Collaborate with R&D, QA, and Product teams to streamline release processes and resolve deployment bottlenecks. Process & Governance • Define and enforce DevOps best practices, coding standards, and documentation guidelines across the team. • Drive post-incident reviews and implement learnings to prevent recurrence. • Monitor infrastructure costs and propose optimization strategies to the DevOps Director. • Maintain and improve technical documentation, runbooks, and operational playbooks.

About Irregular Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios. As AI systems become more powerful, we focus on staying ahead of emerging threats and vulnerabilities, ensuring these transformative technologies can be deployed safely and securely. About the Role We’re looking for a Senior SecOps Engineer to own and evolve the security infrastructure, tooling, and controls that protect Irregular’s engineering environment. This is a hands-on security engineering role focused on building, implementing, and operating the systems that enable our engineering teams to work securely at scale. You’ll work closely with our Infrastructure Engineers and the broader Engineering team to embed security into our infrastructure and development environment without slowing teams down. You’ll take ownership of security tooling and posture management across our environment — from evaluating and deploying new security technologies to continuously improving how we identify, prioritize, and remediate security risks. We’re looking for someone with a strong background in Security Operations, Infrastructure Security, or Security Engineering who has operated and secured modern engineering environments. Representative Responsibilities • Own, operate, and continuously improve Irregular’s security infrastructure, tooling, and controls across cloud infrastructure, engineering systems, identity, and endpoints. • Evaluate, implement, and integrate security technologies across our engineering environment. • Own security posture and vulnerability management, including identifying, prioritizing, tracking, and driving remediation of security risks. • Partner closely with Infrastructure and Engineering teams to identify security gaps and implement practical, scalable solutions. • Integrate security tooling into engineering workflows, including vulnerability and dependency scanning tools • Build and improve security monitoring, detection, alerting, and incident response capabilities. • Automate security operations and controls to improve coverage, consistency, and efficiency. You may be a good fit if you have • Significant hands-on experience in Security Operations, Infrastructure Security, or Security Engineering. • Experience owning security infrastructure and tooling in a modern, cloud-based AWS environment. • Strong understanding of cloud and infrastructure security, identity and access management, endpoint security, vulnerability management, and security monitoring. • Hands-on experience evaluating, deploying, integrating, and operating security tools and security posture management platforms. • Experience implementing security controls in close collaboration with Infrastructure and Engineering teams. • The ability to independently identify security gaps, design solutions, and drive implementation end-to-end. • Strong ownership mentality and the ability to operate effectively in a fast-moving, high-ambiguity environment. Nice to Have • Hands-on experience with, • penetration testing, security research or offensive security. • cloud security posture management (CSPM) and related security platforms. • application Security and secure software development best practices. • building security automation or internal security tooling. • Experience translating offensive security knowledge into detection engineering, incident response, threat hunting, and security monitoring improvements. • Hands-on security training or certifications demonstrating strong practical offensive and defensive security skills, such as OSCP, OSCE, or equivalent.

About Irregular Irregular is the first frontier security lab with the mission of protecting the world in the time of increasingly capable and sophisticated AI systems. We build next-generation defenses through high-fidelity research platforms that simulate and monitor real-world AI security scenarios. As AI systems become more powerful, we focus on staying ahead of emerging threats and vulnerabilities, ensuring these transformative technologies can be deployed safely and securely. About the Role As Irregular’s Senior DevOps Engineer, you will play a critical role in shaping our infrastructure, deployment pipelines, and operational foundations. This is a hands-on, high-ownership role with real influence over how the company builds, deploys, and operates its systems in production. You’ll be building infrastructure that supports work with frontier AI labs such as Google, Anthropic, and OpenAI, and meets the scale, security, and reliability standards this ecosystem requires. This includes architecting ephemeral, on-demand environments, and spinning up and tearing down multi-service deployments (VPCs, compute, serverless components, and more) as needed. You will work closely with research, engineering, security, and leadership to design and maintain scalable infrastructure, improve system reliability, and enable fast, safe, and secure product delivery. Key Responsibilities • Own and evolve Irregular’s cloud infrastructure, with a strong focus on scalability, security, and reliability • Design, build, and maintain end-to-end CI/CD pipelines and deployment workflows • Lead and continuously improve containerized environments (Docker, Kubernetes) • Build and maintain Infrastructure as Code and automation frameworks (e.g., Terraform) • Own production readiness: availability, monitoring, logging, alerting, and incident response • Work closely with engineering and research teams to support development, testing, and production needs • Drive improvements in system performance, reliability, and security posture • Take part in - and often lead architectural decisions and long-term infrastructure planning • Act as a key operational owner in a fast-growing startup, setting best practices and standards Requirements • 5+ years of hands-on experience as a DevOps / Infrastructure Engineer in production environments • Strong, hands-on experience with AWS (architecture, networking, security, and cost awareness) • Proven experience with containerization and orchestration (Docker, Kubernetes) in production • Hands-on experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions or similar) • Strong experience with Infrastructure as Code and automation (e.g., Terraform) • Ability to take end-to-end ownership and operate independently in an early-stage, high-ambiguity environment Nice to Have • Experience working closely with research or security teams in production environments • Background supporting data-heavy, distributed, or high-scale systems • Familiarity with monitoring, observability, and alerting tools (e.g., Prometheus, Grafana, Datadog)

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. The opportunity Our rapid growth into new verticals and markets presents a fantastic opportunity to evolve our platform. We are building on our initial successes by transitioning to a highly scalable architecture that seamlessly supports our expanding customer base across diverse industries. It’s an engineering opportunity to turn a carefully operated platform into a Kubernetes-native, self-service product. The goal is to serve internal customers first and deliver at high velocity with safe, capable self-service solutions aligned with the best practices of platform engineering. It's a leadership opportunity in equal measure: you'll build and grow the team that owns it, and have an impact on how platform engineering is done here as the company scales. What you'll own • Self-Service Enablement: Empower cross-functional teams with secure, automated pathways that accelerate development while maintaining organizational standards. • Architectural Modularization: Evolve our infrastructure into a decoupled, scalable architecture that supports rapid iteration and independent service lifecycles. • Unified Infrastructure Management: Implement a rigorous "Everything as Code" strategy, treating infrastructure, policy, and configuration with the same standards as application software. • Proactive Reliability: Foster a culture of operational excellence through robust observability, clear Service Level Objectives, high operational hygiene and safety. What success looks like: • In 6 months: Lead the transformation to a self-service infrastructure platform. Target a 30% reduction in deployment lead times and a 50% increase in self-service adoption among R&D teams. Implement platform-wide observability and SLO monitoring to ensure 99.9% uptime for core services. • In 12 months: Evolve the Platform Engineering team into a high-scale, autonomous unit that sets the standard for engineering excellence. Define technical domain ownership for core infrastructure and scale the global team. Who you are as a leader: • Your job is to deliver value sustainably — at a pace the team can hold indefinitely, not a sprint to burnout. • You empower, you don't assign. You give people context and autonomy, hold them accountable, and speak less so they speak more. • You build a learning team — retrospectives that turn data into action, postmortems that find root cause without blame, and deliberate work on growing each engineer and killing the bus-factor-of-one. • "The how" is non-negotiable: tested, reviewed, observable, highly available, staging-first. "Done" means in production, serving customers. • You stay hands-on enough to earn technical trust and make hard calls. Requirements What you bring • A strong record in Platform Engineering / DevOps, with deep hands-on Kubernetes in production. • Proven experience leading engineers: mentoring, hiring, and growing a team • Strong cloud-native and Kubernetes-native mindset: you reach for declarative, GitOps, controllers, and abstraction before bespoke scripts. • Fluency in Python, Go, and Bash sufficient to build tooling and review your team's work. • Hands-on with multi cloud at production scale (GKE, Cloud SQL, BigQuery). • Fluency in Infrastructure as Code (Terraform, KCC), Helm, and GitOps delivery (ArgoCD or similar) and opinions on doing them well at scale. • A product mindset toward platform: you treat internal engineers as customers and self-service as the goal. • A point of view on AI-assisted and spec-driven development, and how to make engineers faster with it while keeping change safe to ship. • A culture of learning from failure: blameless postmortems, real root cause, and fixing the system so the same incident can't recur. Nice to have • Multi-cloud experience (AWS / Azure) — GCP is home, but breadth helps. • Policy-as-code (OPA/Conftest, Kyverno) and supply-chain/CI security. • SLO/error-budget practice and DORA-based delivery measurement. • Big Data or MLOps exposure (Airflow, Dagster, Ray, Kubeflow).

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. The opportunity Our rapid growth into new verticals and markets presents a fantastic opportunity to evolve our platform. We are building on our initial successes by transitioning to a highly scalable architecture that seamlessly supports our expanding customer base across diverse industries. It’s an engineering opportunity to turn a carefully operated platform into a Kubernetes-native, self-service product. The goal is to serve internal customers first and deliver at high velocity with safe, capable self-service solutions aligned with the best practices of platform engineering. It's a leadership opportunity in equal measure: you'll build and grow the team that owns it, and have an impact on how platform engineering is done here as the company scales. What you'll own • Self-Service Enablement: Empower cross-functional teams with secure, automated pathways that accelerate development while maintaining organizational standards. • Architectural Modularization: Evolve our infrastructure into a decoupled, scalable architecture that supports rapid iteration and independent service lifecycles. • Unified Infrastructure Management: Implement a rigorous "Everything as Code" strategy, treating infrastructure, policy, and configuration with the same standards as application software. • Proactive Reliability: Foster a culture of operational excellence through robust observability, clear Service Level Objectives, high operational hygiene and safety. What success looks like: • In 6 months: Lead the transformation to a self-service infrastructure platform. Target a 30% reduction in deployment lead times and a 50% increase in self-service adoption among R&D teams. Implement platform-wide observability and SLO monitoring to ensure 99.9% uptime for core services. • In 12 months: Evolve the Platform Engineering team into a high-scale, autonomous unit that sets the standard for engineering excellence. Define technical domain ownership for core infrastructure and scale the global team. Who you are as a leader: • Your job is to deliver value sustainably — at a pace the team can hold indefinitely, not a sprint to burnout. • You empower, you don't assign. You give people context and autonomy, hold them accountable, and speak less so they speak more. • You build a learning team — retrospectives that turn data into action, postmortems that find root cause without blame, and deliberate work on growing each engineer and killing the bus-factor-of-one. • "The how" is non-negotiable: tested, reviewed, observable, highly available, staging-first. "Done" means in production, serving customers. • You stay hands-on enough to earn technical trust and make hard calls. Requirements What you bring • A strong record in Platform Engineering / DevOps, with deep hands-on Kubernetes in production. • Proven experience leading engineers: mentoring, hiring, and growing a team • Strong cloud-native and Kubernetes-native mindset: you reach for declarative, GitOps, controllers, and abstraction before bespoke scripts. • Fluency in Python, Go, and Bash sufficient to build tooling and review your team's work. • Hands-on with multi cloud at production scale (GKE, Cloud SQL, BigQuery). • Fluency in Infrastructure as Code (Terraform, KCC), Helm, and GitOps delivery (ArgoCD or similar) and opinions on doing them well at scale. • A product mindset toward platform: you treat internal engineers as customers and self-service as the goal. • A point of view on AI-assisted and spec-driven development, and how to make engineers faster with it while keeping change safe to ship. • A culture of learning from failure: blameless postmortems, real root cause, and fixing the system so the same incident can't recur. Nice to have • Multi-cloud experience (AWS / Azure) — GCP is home, but breadth helps. • Policy-as-code (OPA/Conftest, Kyverno) and supply-chain/CI security. • SLO/error-budget practice and DORA-based delivery measurement. • Big Data or MLOps exposure (Airflow, Dagster, Ray, Kubeflow).

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 Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security. We are looking for a Senior DevOps Engineer to join our fantastic team! Responsibilities: • Develop and architect our SaaS platform • Working with an extensive range of cloud infrastructure tools (multi-cloud: AWS, Azure & GCP), both for our cloud-based infrastructure, but mainly due to our comprehensive support of cloud technologies for our clients • As our customers include Fortune 500 companies, we face the challenge of working with immense amounts of data - Petabytes over Petabytes. As a result, our scale of operation is immense and requires us to use highly scalable infrastructures for our system. • Monitor, troubleshoot, and resolve production-grade issues. Configure the system and application aspects. • Develop architectural POCs • Work on a microservices architecture • Automate everything, keeping it DRY • Assist and work closely with the team across R&D • Work on our next-generation cloud-native applications Requirements • At least 4 years experience focused on DevOps Engineering and Site Reliability – Must. • Linux/Unix and bash scripting – Must. • Experience in AWS / GCP / Azure cloud infrastructure production – Must. • In-depth knowledge of build/release systems CI/CD pipelines. • In-depth understanding of public cloud and application architectures and technologies – Must. • Hands-on experience with Docker (K8s orchestrators) – Must. • Experience in infrastructure as code tools, Terraform, Ansible, or CloudFormation – Must. • Experience with monitoring & logging tools. • Experience building/supporting a distributed production environment. • Multi DB expertise (MongoDB, PostgreSQL) – Advantage. • Proficiency in networking fundamentals and concepts (Load Balancing, Protocols). • Experience with NodeJS – Advantage. Why Join Us?  At Cyera, we care about collaboration, innovation, and agility. We take “teamwork” seriously—with our inclusive and supportive culture at the forefront—and we’re just as serious about nurturing Cyerans to grow, both personally and professionally. Feel free to apply even if your experience doesn’t tick every box. We’re building something special here—and we welcome Cyerans with diverse backgrounds, perspectives, and experiences.

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.