DevOps Engineer jobs in Tel Aviv-Yafo

Description We are looking for a skilled and motivated DevOps Engineer to join our technology team. The ideal candidate will be responsible for designing, implementing, and maintaining scalable, secure, and reliable cloud infrastructure, CI/CD pipelines, and automation solutions that support our software development lifecycle. The DevOps Engineer will work closely with development teams in Israel and India, ensuring seamless collaboration, efficient delivery processes, and high system availability. This role requires strong technical expertise, excellent communication skills, and the ability to work effectively in a global and multicultural environment. Responsibilities: • Design, implement, and maintain CI/CD pipelines to support rapid and reliable software delivery. • Automate infrastructure provisioning, configuration management, and deployment processes. • Manage and optimize cloud environments and infrastructure resources. • Monitor system performance, availability, and security, proactively addressing issues and bottlenecks. • Collaborate with software development teams to improve release processes and operational efficiency. • Implement Infrastructure as Code (IaC) best practices. • Support containerized applications and orchestration platforms. • Ensure compliance with security, governance, and operational standards. • Troubleshoot production and non-production environments and provide timely resolutions. • Work closely with development teams in Israel and India, participating in planning, design reviews, and technical discussions. Requirements Qualifications: • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. • 3+ years of experience in a DevOps, Cloud, or Site Reliability Engineering (SRE) role. • Hands-on experience with cloud platforms such as Microsoft Azure, AWS. • Strong experience with CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD. • Experience with Infrastructure as Code tools such as Terraform, Bicep, or CloudFormation. • Proficiency in scripting languages such as PowerShell, Bash, Python, or similar. • Experience with Docker and Kubernetes. • Strong knowledge of source control systems, particularly Git. • Familiarity with monitoring and logging tools. • Good understanding of networking, security principles, and system administration. • Excellent verbal and written communication skills in English. Location: Tel Aviv, Hybrid We at Deloitte believe that diversity and inclusion among our people is a critical component of our success, which is why we cultivate an organizational culture that embraces diversity in all its forms. Description Hebrew אנחנו מחפשים מהנדס/ת DevOps מיומן/ת ובעל/ת מוטיבציה להצטרף לצוות הטכנולוגי. התפקיד כולל תכנון, יישום ותחזוקה של תשתיות ענן מדרגיות, מאובטחות ואמינות, תהליכי CI/CD ופתרונות אוטומציה התומכים במחזור חיי הפיתוח. מהנדס/ת ה־DevOps יעבוד/תעבוד בשיתוף פעולה עם צוותי הפיתוח בישראל ובהודו, במטרה לאפשר עבודה משותפת יעילה, לשפר את תהליכי האספקה ולשמור על זמינות גבוהה של המערכות. התפקיד דורש מומחיות טכנולוגית, כישורי תקשורת מצוינים ויכולת לעבוד בסביבה גלובלית ורב־תרבותית. תחומי אחריות: • תכנון, יישום ותחזוקה של תהליכי CI/CD לאספקת תוכנה מהירה ואמינה. • אוטומציה של הקמת תשתיות, ניהול תצורה ותהליכי פריסה. • ניהול ואופטימיזציה של סביבות ענן ומשאבי תשתית. • ניטור ביצועי המערכות, זמינותן ואבטחתן, וטיפול יזום בתקלות ובצווארי בקבוק. • שיתוף פעולה עם צוותי הפיתוח לשיפור תהליכי שחרור גרסאות והיעילות התפעולית. • יישום שיטות עבודה מומלצות בתחום Infrastructure as Code (IaC). • תמיכה ביישומים מבוססי קונטיינרים ובפלטפורמות תזמור. • הקפדה על עמידה בתקני אבטחה, ממשל ותפעול. • פתרון תקלות בסביבות ייצור ופיתוח ומתן מענה בזמן. • השתתפות בתכנון, בסקירות תכנון ובדיונים טכניים עם צוותי הפיתוח בישראל ובהודו. Requirements Hebrew • תואר ראשון במדעי המחשב, מערכות מידע, הנדסה או תחום רלוונטי. • לפחות 3 שנות ניסיון בתפקיד DevOps, בענן או ב־Site Reliability Engineering (SRE). • ניסיון מעשי בפלטפורמות ענן, כגון Microsoft Azure או AWS. • ניסיון משמעותי בכלי CI/CD, כגון Azure DevOps, GitHub Actions, Jenkins או GitLab CI/CD. • ניסיון בכלי Infrastructure as Code, כגון Terraform, Bicep או CloudFormation. • שליטה בשפות סקריפטים, כגון PowerShell, Bash, Python או שפות דומות. • ניסיון עם Docker ו־Kubernetes. • היכרות מעמיקה עם מערכות לניהול קוד, ובפרט Git. • היכרות עם כלי ניטור ולוגים. • הבנה טובה ברשתות, בעקרונות אבטחה ובניהול מערכות. • יכולת תקשורת מצוינת באנגלית, בכתב ובעל פה. מיקום: ת"א, מתכונת היברידית בדלוייט, אנו מאמינים שגיוון והכלה בקרב אנשינו הם מרכיב מרכזי בהצלחתנו, ולכן אנו מטפחים תרבות ארגונית המכבדת ומחבקת גיוון על כל צורותיו.

Description Senior DevOps Engineer - Cybersecurity Hybrid | Israel About the Company DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. DriveNets' Cybersecurity business unit is building an AI-powered security platform for the world's largest service provider networks. The platform combines a cloud-native microservices backend with self-hosted LLM inference, delivered into customers' own Kubernetes environments — often air-gapped, with no data leaving their premises. Responsibilities • Own the platform's Helm charts and make them portable across any Kubernetes distribution, including OpenShift (non-root, restricted SCCs, NetworkPolicies). • Operate the self-hosted operator stack: CloudNativePG, Strimzi, ECK, MinIO, Redis, and Temporal. • Run the Nx monorepo pipelines and drive the ArgoCD GitOps rollout. • Build zero-downtime releases using blue/green and canary deployments, expand/contract migrations, and automated rollback. • Manage autoscaling with KEDA/HPA, backup/restore for stateful services, and load-validation of stamp sizing tiers. • Provide on-call support for dev/staging environments and customer stamps. • Build and maintain observability using Grafana Alloy, OpenTelemetry, and Prometheus/Grafana — dashboards and alerts across services, Kafka, databases, and GPUs. • Improve developer experience through a shared dev cluster with local-debug traffic interception (Telepresence / mirrord), targeting sub-15-minute onboarding. Requirements Technical Skills • 5+ years of DevOps / platform engineering experience in a product company. • Deep hands-on experience with Kubernetes and Helm, including shipping software onto clusters you don't control. • Production experience with GitOps (ArgoCD/Flux), infrastructure as code, and zero-downtime release engineering. • Experience running stateful workloads on Kubernetes via operators (Kafka, PostgreSQL, Elasticsearch). • Solid grasp of observability fundamentals: Prometheus, Grafana, OpenTelemetry. • Comfortable operating in air-gapped environments without managed cloud services. Soft Skills • Strong cross-functional collaboration — works daily with AI/ML Ops, backend, research, and solutions teams on customer onboarding. • Comfortable owning production reliability and on-call responsibilities. Nice to Have / Advantage • Experience with OpenShift, KEDA, and Temporal. • Hands-on AI inference infrastructure experience: deploying and operating LLM inference on Kubernetes with GPUs (vLLM, TGI, Triton, or similar). • GPU scheduling and node readiness, model packaging for offline delivery. • Experience with LLM gateways (LiteLLM) and LLM observability (Langfuse). If your experience is close but doesn't fulfil all requirements, please submit your application. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with extended teams located in the US, Japan, and Romania, DriveNets operations cover more than twelve countries globally. Powering production networks for global tier-1 operators, DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. Visit our website to learn more: https://drivenets.com/company/

Description Upwind is a next-generation Cloud Security Platform that leverages runtime context to identify and prioritize critical risks, providing precise insights and efficient cloud security management. Unlike traditional tools, Upwind uses runtime data proactively for risk prioritization and posture insights, ensuring teams focus on what truly matters. With industry-leading efficiency and eBPF-powered sensors, Upwind delivers comprehensive capabilities, including agentless cloud posture discovery, real-time threat protection, and integrated API security. From misconfigurations to malware defense, Upwind ensures end-to-end, cost-effective cloud infrastructure protection. At Upwind, you’ll have the opportunity to think creatively, explore new ideas, and use your skills to make a meaningful impact on our growth. We are looking for an experienced DevOps Engineer to join our team. Our DevOps team collaborates closely with every engineering unit within Upwind, delivering CI/CD and scalable infrastructure for all Upwind features. We leverage valued OSS solutions and employ a modern tech stack, including Kubernetes, Terraform, Argo, Helm, VictoriaMetrics, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. Responsibilities: • Take part, end to end on all features within upwind’s infrastructure, CI\CD pipelines and product features • Be part of our product’s architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product. • Plan and push to scale in DevEx and infrastructure efforts • Be responsible for stable and scalable execution of product feature's infrastructure • Monitor and maintain Production infrastructure that makes Upwind's magic happen. Requirements • +3 years of experience as a DevOps engineer on a production high-scale distributed system, working in a Linux environment. • Hands-on experience with containerized environments - Kubernetes and its OSS ecosystem is used all over Upwind’s infrastructure. • Experience with maintaining and scaling various database, and queueing infrastructures (Elasticsearch, MySql, Neo4j, Postgres (Timescale), RabbitMQ, Redis or similar technologies) • Extensive experience with working in cloud environments on a Production system • The mindset of automation - push to automate as many of manual processes as possible • In-depth knowledge of build/release systems, CI/CD pipelines. (Github actions, ArgoCD) • Proven, hands-on experience with infrastructure as code in production environments (Terraform, Terragrunt,CDK etc..) • Proven hands-on experience with Helm templating language • Scripting/programming skills with Python/Bash/Go. • An innovative approach, with the ability to quickly learn technologies, and implement cutting edge technologies • A strong sense of ownership and accountability Nice to have: • Deep knowledge of working with Prometheus monitoring stack (Grafana, AlertManager, Victoria Metrics) • Hands on experience with multiple cloud vendors

Job Description • Own and evolve our cloud infrastructure across multi-region production environments, end-to-end. • Lead our GitOps deployment model - designing and maintaining declarative, automated deployment workflows with zero manual gates. • Build, maintain, and optimize CI/CD pipelines with a strong focus on developer experience, reliability, and speed. • Initiate, implement, and champion an AI-first DevOps & SRE ecosystem - identifying opportunities, building AI agents and intelligent automation, and driving their adoption across engineering operations. • Develop automation frameworks for provisioning, scaling, observability, and incident response, leveraging AI-powered tooling and agentic workflows to reduce toil. • Operate and improve our observability platform: metrics, logs, alerting, dashboards, SLOs/SLIs, and on-call tooling. • Champion zero-trust secrets management and credential-less authentication patterns across the stack. • Partner with architects and engineering leadership on cloud cost optimization, availability, and performance. • Build internal tooling and automation that multiplies engineering velocity across the organization. Qualifications • 5+ years of hands-on DevOps experience in a SaaS product environment - Must. • Demonstrated initiative in applying AI to engineering operations - designing and building AI agents, agentic workflows, LLM-powered automation, or Model Context Protocol (MCP) integrations that reduced operational toil and improved production reliability, quality, or velocity - Must. • Strong scripting and programming skills - Python and Bash for automation, tooling, and AI agent development; Go is a plus. • Strong motivation to continuously learn and adopt emerging technologies, and to share that knowledge across the team. • Deep, hands-on AWS expertise; multi-cloud (AWS, GCP, Azure) experience is a strong plus - Must. • Strong understanding of containers and orchestration - Docker, Kubernetes, including workloads, networking, service mesh (Istio), Helm/Kustomize, and autoscaling (KEDA, HPA, VPA). • Strong experience with:• Infrastructure-as-Code - Terraform, Crossplane, and/or cloud-native declarative tooling. • GitOps principles and tooling (ArgoCD or equivalent). • CI/CD platforms - building reusable, scalable, security-hardened pipeline templates (GitHub Actions or equivalent). • Secrets management - dynamic injection, IRSA/Workload Identity, avoiding long-lived credentials. • Experience embedding security into CI/CD: vulnerability scanning, SBOM generation, and supply chain security (Trivy, Grype, Syft, JFrog Xray). • Solid observability knowledge - OpenTelemetry, Prometheus, Grafana, Datadog, ELK/OpenSearch, distributed tracing. • Hands-on experience with AI/ML workloads or LLMOps infrastructure - a significant advantage. • Cost-awareness (FinOps) - treating cloud spend as a core engineering metric. • Clear communication skills - able to align engineers, security teams, and leadership around infrastructure decisions. • A strong sense of ownership - proactively identifying gaps and driving improvements.