DevOps Engineer jobs in Israel

About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role: The Senior DevOps Engineer will be responsible for the design, building, and maintenance of the infrastructure of our cloud platform. This role involves tackling challenging, large-scale infrastructure projects, with a focus on ensuring organizational reliability, scalability, security, and adherence to best practices. Main Roles and Responsibilities: • You will directly influence our platform's scalability to support growth and R&D efficiency • Own Infrastructure projects end-to-end, from research and design to implementation and rollout. • Lead Infrastructure improvements around high availability, resiliency, performance and cost efficiency. • Evaluate and implement new technologies that upgrade our infra posture. • Collaborate with other engineers to define standards, patterns and platform roadmap. • Serve as a technical expert in infrastructure decisions and a driver of engineering excellence. Job Requirements: • At least 7+ years of hands-on experience in DevOps in large-scale infrastructure companies. • Passion for elegant and effective technological solutions. • Independent learning capability and curiosity without boundaries. • Strong analytical and problem-solving skills. • Proven ability to lead complex technical projects independently. Technical requirements: • Advanced experience with Kubernetes and container orchestration. • Strong proficiency with IaC Frameworks such as Terraform and Terragrunt, CDK • Solid hands-on experience with AWS services. • Strong understanding of network fundamentals. • Experience with GitOps tools (ArgoCD) • Experience with advanced CI/CD pipelines Working at Aidoc Our Perks: • Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) • We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. • Amazing and healthy breakfasts and lunches prepared daily by our personal chef! • Stocked up kitchen & meal card • Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. • Amazing culture - collaborative, transparent & fun! • Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Job Description • Cloud Infrastructure & Architecture: Play an important role in shaping our AWS-first cloud architecture, with a focus on scalability, reliability, security, innovation, and long-term success. • Production Reliability: Tackle large-scale production issues and proactively improve the reliability, efficiency, availability, and observability of our cloud services. • Cross-Functional Collaboration: Work closely with stakeholders across R&D, Security, Product, and other groups to ensure seamless integration of DevOps practices. • Automation & Developer Experience: Automate and streamline operations and development processes, reduce manual intervention, and improve the developer experience. • Security & Cost Optimization: Help ensure that our infrastructure is secure, efficient, aligned with organizational standards, and cost-effective. • Cloud Operations Excellence: Drive improvements in deployment practices, monitoring, infrastructure management, and operational maturity. Qualifications • 4+ years of relevant DevOps experience in large-scale production environments. • Extensive experience with cloud computing technologies, preferably AWS. • Experience with monitoring and observability tools, especially Grafana. • Proven experience with Infrastructure as Code tools, such as Terraform. • Experience with GitOps and CI/CD methodologies and tools. • Proven experience working with Kubernetes or managed container services, such as EKS, AKS, or ECS, in production environments. • DevOps security mindset, including understanding of secure development lifecycles, cloud security, and infrastructure security. • Strong ability to independently analyze problems, suggest practical solutions, and drive implementation end to end. • Excellent communication skills and the ability to work effectively with cross-functional stakeholders. Preferred Qualifications • Experience with both AWS and Azure. • Experience with managed data services such as MongoDB Atlas, Azure Data Explorer, Cosmos DB, Amazon RDS, or Amazon Aurora. • Experience with PostgreSQL management, performance tuning, and optimization. • Python scripting or development experience.

Job Description • Operate and modernize development infrastructure across on-premises and cloud environments, contributing to cloud migration and adoption of infrastructure as code. • Build and evolve CI/CD pipelines and build infrastructure to accelerate development, testing, and release workflows. • Maintain core development tools and infrastructure services, including GitLab, Artifactory, RabbitMQ, and Temporal. • Deploy, manage, and troubleshoot containerized workloads using Docker, Kubernetes, and Helm. • Develop automation, internal tools, and integrations using Python, Bash, or Go. • Support R&D teams, resolve service requests, and participate in the team’s duty and on-call rotation for critical development services. • Strengthen monitoring, logging, and alerting, investigate incidents, and automate recurring operational work. • Apply AI engineering tools and agentic workflows to accelerate daily tasks and develop internal automation. • Collaborate with development and security teams, maintaining clear documentation and operational runbooks. Qualifications • 3+ years of experience in DevOps, platform engineering, infrastructure engineering, or a related role. • Strong Linux administration skills and practical troubleshooting experience across systems, networking, and development infrastructure. • Strong scripting and automation skills in Python or Bash. • Experience building and maintaining CI/CD pipelines using tools such as GitLab CI or GitHub Actions. • Hands-on experience with Docker and Kubernetes. • Practical experience with a public cloud platform, preferably AWS. • Experience with infrastructure as code or configuration management tools such as Terraform or Ansible. • Experience with monitoring, logging, and production troubleshooting. • Strong practical proficiency with AI engineering tools, including coding assistants and agentic workflows; the ability to integrate them into engineering processes, assess output quality, and stay current with industry innovations and best practices. • A service-oriented approach, clear communication, and ownership of issues through resolution. • The ability to independently research unfamiliar technologies and implement practical solutions. Nice to Have • Experience migrating on-premises workloads to the cloud or operating hybrid environments. • Experience with Helm and GitOps tools such as Argo CD or Flux. • Experience operating GitLab, Artifactory, RabbitMQ, or Temporal. • Familiarity with Prometheus, Grafana, or centralized logging platforms. • Software development experience in Python or Go, including internal developer tooling or AI agents. • Experience with virtualization or Windows/macOS administration.

Description CodeValue is looking for an experienced DevOps Engineer to join our team and work on challenging infrastructure and cloud projects. The ideal candidate has hands-on experience with cloud platforms, Kubernetes or OpenShift, and building and maintaining DevOps infrastructure. This role requires strong scripting skills, a proactive approach to troubleshooting, and the ability to collaborate with Development, Networking, and Information Security teams. Key Responsibilities • Build, configure, deploy, and maintain cloud-based DevOps infrastructure. • Deploy, manage, and maintain Kubernetes or OpenShift clusters and containerized environments. • Develop Python and Bash scripts to automate infrastructure operations and routine processes. • Support infrastructure stability, availability, performance, and ongoing maintenance. • Collaborate with Development, Networking, and Information Security teams to deliver reliable and secure infrastructure solutions. • Troubleshoot complex infrastructure and deployment issues and drive them to resolution. • Contribute to infrastructure automation and CI/CD processes. Requirements • 4+ years of hands-on experience as a DevOps Engineer – mandatory. • Hands-on experience with public cloud platforms, including AWS and/or GCP – mandatory, including infrastructure planning, deployment, and operations. • Strong experience with Docker and containerization – mandatory, including container management and runtime environments. • In-depth knowledge of Kubernetes (K8s), OpenShift (OCP), and/or RKE – mandatory, including deployment and cluster management. • Proven experience designing, developing, and maintaining end-to-end CI/CD pipelines, using Jenkins, Azure DevOps, GitHub Actions, and/or GitLab CI – mandatory. • Hands-on experience with Git and version control – mandatory. • Strong scripting skills in at least one of the following: Python, Bash, PowerShell (PS1), Batch, or Groovy – mandatory. • Experience working with Linux and Windows environments – mandatory. • Experience with Infrastructure as Code (IaC) tools, such as Terraform, CloudFormation, and/or Ansible – mandatory for Terraform and/or CloudFormation; Ansible is an advantage. • Experience with Helm for Kubernetes package management – an advantage. • Experience with JFrog Artifactory and/or Xray for artifact management and security – a significant advantage. • Familiarity with DevSecOps principles, secure development practices, and pipeline security – an advantage. • Good understanding of GitOps methodologies – an advantage. • Good understanding of networking concepts – an advantage. • Experience working in air-gapped or disconnected environments – an advantage. • Previous software development experience – an advantage. • Current professional AWS and/or GCP certifications – a significant advantage. • Experience leading a DevOps team – a significant advantage. • Ability to collaborate effectively with development and infrastructure teams, provide technical support, and troubleshoot complex issues with an emphasis on automation. • Location: Jerusalem / North Israel

Description CodeValue, founded in 2010, is a dynamic software development services company that delivers supreme architectural and technical expertise. Our mission is to provide in-depth consultancy, integrate product and design research into our development process, offer managed software and cloud solutions, and provide customized training programs to bridge knowledge gaps. We are empowering our employees with a comprehensive range of professional courses and training programs. From Cloud Computing (Azure, AWS) to Modern Full stack Web Development, Microservices, Software Architecture, and DevOps, CodeValue is looking for a highly experienced, hands-on Senior DevOps / CI/CD Tech Lead to help establish, standardize, and improve CI/CD, testing, and release infrastructure across multiple software development teams at a leading semiconductor and AI technology company. The role focuses on solving complex integration challenges across a multi-component software stack, improving automation and regression testing infrastructure, and creating consistent build, packaging, and release processes across teams and environments. This is a hands-on technical leadership position for someone who can define the technical direction while implementing solutions independently and delivering measurable value quickly. Key Responsibilities: • Design, build, and improve CI/CD pipelines and automation infrastructure using Jenkins. • Establish and enhance automated Unit Testing and Regression Testing infrastructure. • Standardize build, packaging, wrapper, and release management processes across multiple development teams. • Consolidate and align Jenkins environments, pipelines, and configurations across teams. • Standardize Docker images and development and testing environments. • Improve integration workflows across complex software components, including compilers, embedded runtimes, and related software stacks. • Work directly with developers and technical stakeholders to identify bottlenecks and implement practical improvements. • Lead technical initiatives hands-on, from identifying the problem to implementing and deploying the solution. Key Responsibilities: • Design, build, and maintain robust CI/CD pipelines using Jenkins and GitHub Actions. • Develop and support tooling and automation for air-gapped environments. • Collaborate closely with R&D and QA teams to optimize the software development and release lifecycle. • Research, evaluate, and integrate new tools, technologies, and methodologies to enhance development and deployment efficiency. Requirements • Extensive hands-on experience in DevOps, CI/CD infrastructure, and build automation. • Proven experience designing, implementing, and maintaining Jenkins pipelines in complex development environments. • Strong experience with Docker and environment standardization. • Proven experience establishing automated testing infrastructure, including Unit Testing and Regression Testing. • Experience with build systems, packaging, and software release management. • Ability to lead technical initiatives while remaining deeply involved in implementation and troubleshooting. • Experience working across multiple development teams and standardizing shared infrastructure and processes. • Ability to work independently, prioritize effectively, and deliver results quickly. Advantages: • Experience in Embedded Software environments. • Experience with compilers, DSP, processor architectures, or semiconductor development. • Experience integrating complex software stacks with multiple dependencies and frequently changing components. • Experience with on-premises build and testing infrastructure.

Description About Cellebrite:  Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions—available via cloud, on-premises and hybrid deployments—to close cases faster and safeguard communities. To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite. What is your mission? As a Senior DevOps Engineer, you'll take charge of automating how we deploy infrastructure and applications with a strong focus on the infrastructure powering our AI/ML systems. You'll also lead efforts to make our processes better, helping engineering and product teams work faster and smarter, without compromising service quality. You bring an AI-first mindset to your own daily work using AI tools to move faster, automate more, and continuously raise the bar on how the team operates. Your work supports Cellebrite's mission to protect lives, accelerate justice, and ensure data privacy. Responsibilities: • Design, develop, and maintain automation processes to deploy large-scale, enterprise-grade applications, including AI/ML workloads and pipelines. • Serve as the go-to expert for CI/CD processes supporting Cellebrite's cloud and AI products. • Architect, deploy, and operate infrastructure for AI systems, including Amazon Bedrock, model endpoints and inference pipelines, following AI infrastructure best practices. • Actively use AI tools and agents (e.g., coding assistants, AI-driven automation, LLM-based troubleshooting) in day-to-day DevOps work to increase velocity, reduce toil, and improve quality and champion this way of working across the team. • Stay current with the fast-moving global AI landscape (new models, frameworks, cloud AI services, industry best practices) and bring relevant advances back into the team's tooling and processes. • Partner with R&D, Product Management, and Architecture to deliver key operational metrics and feedback that support high product availability. • Investigate reported and suspected outages and other issues, including those affecting AI/ML services. • Oversee documentation of issues and resolutions; maintain a knowledge base of known issues. • Produce, oversee production of, and maintain documentation such as architecture diagrams, system designs, and runbooks. • Work alongside fellow SREs, DevOps Engineers, and developers to solve problems and investigate anomalies. • Participate in an on-call rotation to help maintain our 99.95% uptime SLO. Requirements • 7+ years of experience working with AWS, with a proven track record of building complex infrastructure. • 2+ years of hands-on experience working with AI/ML systems in production, applying best practices for reliability, cost, security, and scalability of AI infrastructure. • Strong, hands-on experience with Amazon Bedrock and the broader AWS AI/ML stack (e.g., SageMaker, vector databases). • Demonstrated habit of using AI tools in daily engineering work (e.g., AI coding assistants, agentic workflows, LLM-powered automation) not just knowledge of AI infrastructure, but active personal use to work smarter and faster. • A continuous-learning mindset toward AI genuinely curious about the field, keeps skills current as technology evolves, and enjoys exploring new AI capabilities and applying them practically. • Working knowledge of Google Cloud Platform (GCP), with the ability to operate and troubleshoot across a multi-cloud environment. • Strong experience with networking, containerization (Kubernetes), and Linux system administration. • Deep understanding of Infrastructure as Code (Terraform, CloudFormation, etc.). • Strong experience with Kubernetes, preferably with AWS EKS. • Experience scaling and maintaining high-availability production systems. • Experience with DevOps release management, versioning, build management, automation scripting, and CI tools such as GitHub Actions. • Excellent verbal and written communication skills in English. • Ability to serve as a guide to the team and provide best practices as a DevOps Tech Lead, particularly around AI infrastructure and AI-augmented workflows. #LI-AS1