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Location: Petah Tikva
Job Type: Full Time
In this pivotal position, the DevOps & Platform Engineering Team Lead will take charge of ensuring the reliability, scalability, and operational excellence of the company's cloud platform. This role involves leading a small, high-impact team of DevOps and platform engineers - combining deep infrastructure ownership with platform thinking - building self-service tools and infrastructure that enable R&D teams to move fast and independently.

As part of your role, you will:
Team Leadership & Growth - Mentor engineers, conduct performance reviews, and build a high-trust collaborative team.
Leverage AI to accelerate development and delivery - leverage industry leading tools and our companys agentic concepts to speed up development and operational workflows.
Operational Excellence - Set high standards for code quality, monitoring, and incident response; ensure systems are robust and secure.
Technical Direction - Guide architectural decisions, balancing immediate product needs with long-term scalability.
Enable Autonomous Execution - Build self-service platforms (GitOps, observability, cost dashboards) so product teams deploy and monitor independently.
Stay Hands-On - 60%+ of your time is hands-on: lead architecture reviews, debug critical incidents, and mentor through code and config reviews - you're a player-coach.
Requirements:
Requirements
5+ years in infrastructure or DevOps engineering, with at least 2+ years leading teams (managing 3+ engineers, as manager or tech lead).
Strong development background - The
team builds tools for developers; a coding mindset is essential (Python, Go, Node.js or similar).
Deep Kubernetes expertise - Production experience with EKS and/or GKE, GitOps (ArgoCD/Flux), service mesh, resource management, and multi-tenant cluster operations.
GitOps & CI/CD mastery - Deep hands-on with ArgoCD or Flux, kustomize/Helm, rollout strategies, deployment safety, change ownership, and audit trails.
AWS platform depth - EC2, EKS, S3, CloudFront, IAM/IRSA, VPC networking, RDS, cost optimization levers.
Observability mindset - Proven experience building and operating monitoring stacks (Prometheus/Grafana/Datadog/Coralogix); SLO-driven thinking, actionable alerting, runbook culture.
AI-first mindset - Actively uses AI tools (Copilot, Claude) to accelerate development and ops workflows.
Platform engineering background - Experience building self-service developer platforms, golden paths, and internal tooling that reduces team dependency on DevOps.
People leadership skills - You've hired, mentored, and grown engineers; conducted performance reviews; and built high-trust, high-performing teams.
Ownership & Communication - own outcomes end-to-end, escalate only when truly blocked, and translate infrastructure complexity into business impact.


Bonus points if you have:
GCP experience (advantage) - GKE, GCS, Cloud Run, or hybrid multi-cloud operations.
Video streaming infrastructure - HLS, RTMP, CDN optimization, live video pipelines.
FinOps / cost optimization - Cost attribution, right-sizing, storage lifecycle policies, etc.
This position is open to all candidates.
 
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07/07/2026
Location: Or Yehuda
Job Type: Full Time
We are looking for a Service Reliability Engineer to support our enterprise-grade SaaS Meeting Intelligence solution, working closely with enterprise customers, partners, and internal teams to deliver measurable value.
You will join a dynamic R&D group developing AI-powered UC recording SaaS solutions, and provide expert support for complex production issues in collaboration with field engineers, R&D, and customers.
This is a hands-on role requiring strong troubleshooting skills, a passion for learning new technologies, and ownership of service reliability and quality.
The position is based in Israel, as part of a global SRE team with members in the USA and Israel.
Your mission:
Investigate, troubleshoot, and resolve complex production issues and escalations
Monitor production systems and proactively identify potential reliability risks
Participate in a 24/7 on-call rotation to support critical incidents
Work closely with R&D, QA, PM, CSM, and other teams to resolve issues and improve system reliability
Collaborate directly with customers on technical escalations on a regular basis
Analyze incidents, perform root cause analysis, and contribute to post-incident reviews
Follow and contribute to troubleshooting protocols and best practices
Maintain and improve monitoring, alerting, and observability tools
Create and maintain internal environments for testing and troubleshooting
Document solutions and contribute to internal and customer-facing knowledge bases
Support training activities for service teams when required.
Requirements:
Strong troubleshooting and debugging skills
Strong communication and interpersonal skills
Strong written and spoken English
Hands-on experience with network, system, or cloud administration (Azure - an advantage)
Experience with Kubernetes - an advantage
BS/MS in Computer Science, Electrical Engineering, or a relevant military background - an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
8728056
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
07/07/2026
Location: Or Yehuda
Job Type: Full Time
We are looking for a talented DevOps Engineer (Kubernetes & Terraform) to join our Backend Microservices team. The team develops an innovative Azure-based SaaS platform that enables the creation of AI agents and their integration with telephony and voice communication systems. Operating in a cloud-native environment built on Azure, Kubernetes, Docker, Terraform, and other modern cloud technologies, the team delivers large-scale, production-grade microservices solutions with a strong focus on reliability, scalability, and performance. This is an exciting opportunity to work at the intersection of cloud infrastructure, DevOps, and AI-driven technologies while helping shape and maintain a highly available platform used at scale.
Responsibilities:
Work with DevOps and cloud infrastructure to ensure smooth delivery and operations.
Manage, deploy, troubleshoot, and scale Kubernetes, Terraform, and Azure-based environments.
Support both development and production environments.
Help define, build, and deploy cloud environments.
Troubleshoot and optimize system performance and cloud costs across services and environments.
Ensure the reliability, scalability, and security of services.
Design, develop, and maintain backend services and APIs.
About Us:
We are a global leader in enterprise voice technology and Voice AI innovation for the digital workplace and customer experience. We help organizations unlock the full value of voice, transforming every conversation into a strategic asset that drives smarter decisions, better experiences and business growth. Our portfolio spans secure voice infrastructure, unified communications and contact center, with next-generation AI-powered voice solutions. With over 30 years of expertise and presence in more than 100 countries, we are trusted by 65 of the Fortune 100 to power intelligent, agile and future-ready interactions across businesses worldwide.
Requirements:
Hands-on experience with Docker and Kubernetes tooling (manifests, pods lifecycle, kubectl)
Hands-on experience with Terraform and cloud infrastructure to ensure smooth delivery and operations
Knowledge of Helm charts
Experience using AI-powered coding tools (e.g., GitHub Copilot) to enhance productivity and code quality.
Cloud experience (Azure Preferred)
Good problem-solving and communication skills
Familiarity with Git and Linux environments
3+ years of backend development experience in Node.js (Nest.js preferred)
Nice To Have:
Database experience (SQL and MongoDB)
Experience with networking concepts (routing, NAT, TLS, proxies, DNS).
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8728028
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דיווח על תוכן לא הולם או מפלה
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
07/07/2026
Location: Or Yehuda
Job Type: Full Time
We're seeking an experienced DevOps Engineer to design, automate, and maintain cloud-native infrastructure for scalable microservices deployments while working closely with the SRE team. This role requires 3+ years of hands-on cloud experience with strong Kubernetes expertise and GitOps practices to support development and QA teams across production and development environments.
Provision and manage infrastructure using Terraform IaC across cloud platforms.
Orchestrate advanced Kubernetes deployments with ArgoCD, Helm charts, and GitOps workflows.
Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalents.
Implement full observability stack with Grafana (Prometheus, Loki, Tempo), Azure Monitor, or equivalent tools for comprehensive metrics, logs, and tracing.
Containerize microservices with Docker and deploy across multi-environment setups.
Automate operations with Bash scripting; develop custom tools in Python/Go as needed.
Manage databases including MongoDB; handle basic L3/L4 networking, protocols, and DNS.
Collaborate closely with SRE team on reliability, incident response, and on-call rotations.
About Us:
We are a global leader in enterprise voice technology and Voice AI innovation for the digital workplace and customer experience. We help organizations unlock the full value of voice, transforming every conversation into a strategic asset that drives smarter decisions, better experiences and business growth. Our portfolio spans secure voice infrastructure, unified communications and contact center, with next-generation AI-powered voice solutions. With over 30 years of expertise and presence in more than 100 countries, we are trusted by 65 of the Fortune 100 to power intelligent, agile and future-ready interactions across businesses worldwide.
Requirements:
Strong experience with Kubernetes (Helm, ArgoCD GitOps) and Docker.
Hands-on experience with microservices architecture and deployments.
Infrastructure as Code using Terraform; solid Git workflows.
Proficiency in Bash scripting; Python or Go is a strong advantage.
CI/CD pipeline implementation (Azure DevOps or GitHub Actions).
Basic networking knowledge (TCP/IP, HTTP, DNS, routing/firewalls).
Qualifications:
3+ years of DevOps experience in production environments.
Proven ability to collaborate with development, QA, and SRE teams.
Experience with system reliability, monitoring, and incident management.
Strong troubleshooting and problem-solving skills.
Familiarity with Agile/DevOps practices.
BSc in Computer Science or equivalent - advantage
Nice to Have:
Observability tools (Grafana stack: Prometheus, Loki, Tempo) or Azure Monitor.
Experience with MongoDB or general SQL/NoSQL databases.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8728025
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
07/07/2026
Location: Petah Tikva
Job Type: Full Time
We are looking for an experienced Technical Lead to join our DevOps team and serve as a key technical authority across customer engagements and internal initiatives. This role combines hands-on engineering, technical leadership, and architectural thinking, with a strong focus on delivering scalable, secure, and high-quality cloud solutions.

You will act as a trusted partner to the Team Lead, driving technical direction, solving complex challenges, and helping the team adopt modern technologies and best practices.

Responsibilities
Act as the primary technical authority for complex challenges and architectural decisions, owning the technical direction across customer engagements and internal projects.
Take strong ownership of technical outcomes and drive end-to-end implementation of cloud solutions, from design to production readiness.
Define and enforce best practices, standards, and validation processes, leading technical reviews and knowledge sharing across the team.
Mentor engineers and support their technical growth and skill development.
Support pre-sales activities including demos, scoping, and POCs, and review SOWs with technical validation, recommendations, and LOE estimates.
Drive adoption of new technologies, in collaboration with the CTO office.
Contribute to and prioritize technical backlog items and internal assets, including reusable code and documentation.
Balance hands-on execution with mentorship and continuous innovation.
Requirements:
At least 10 years of relevant experience in DevOps and cloud environments.
At least 2 years of experience as a Technical Lead or in a similar leadership role, ideally within a consulting or customer-facing environment.
Strong hands-on experience in AWS and Azure, including architecture, networking, security, and CI/CD.
Mandatory hands-on experience with Kubernetes (K8s) and the cloud-native ecosystem.
Deep understanding of DevOps practices, platform engineering, and modern cloud architectures, with proven ability to troubleshoot complex distributed production systems.
Strong programming skills in Python and/or Go for automation and scalable systems.
Hands-on expertise in AI/GenAI technologies, including integrating LLM-based solutions into real-world systems.
Experience in observability and monitoring tools (e.g., Prometheus, Grafana, ELK).
Ability to evaluate new technologies and translate them into practical, customer-ready solutions.
Ability to operate effectively at scale in dynamic, fast-changing environments.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8727420
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
07/07/2026
Location: Petah Tikva
Job Type: Full Time
We are looking for an experienced Senior DevOps & Platform Engineer to join our DevOps team and help customers modernize their software delivery platforms, cloud infrastructure, and engineering practices.

This role combines hands-on engineering, software development, platform architecture, and customer-facing consulting. You will work directly with customers to assess their development lifecycle, understand their tooling and processes, and design scalable, secure, and automated solutions that accelerate software delivery and improve developer experience.

Responsibilities
Design, implement, and maintain cloud-native platforms across AWS, Azure, and Kubernetes environments.
Implement and optimize Kubernetes platforms and cloud infrastructure solutions for enterprise customers.
Build CI/CD pipelines, GitOps workflows, Infrastructure as Code solutions, and deployment automation.
Develop automation, integrations, and platform services using Python, Go, and modern engineering practices.
Lead customer discovery sessions, technical assessments, and workshops to understand existing development and operational processes.
Interview Development, Operations, Security, and Leadership teams to identify challenges and improvement opportunities.
Design target-state architectures, platform roadmaps, and implementation plans.
Implement observability, monitoring, logging, and security best practices across customer environments.
Deliver technical presentations, workshops, and knowledge-transfer sessions
Contribute reusable automation, documentation, and internal platform assets.
Requirements:
At least 5 years of experience in DevOps, Platform Engineering, Cloud Engineering, or Software Engineering roles.
Strong hands-on experience with AWS and/or Azure cloud platforms.
Mandatory hands-on experience with Kubernetes (K8s) and the cloud-native ecosystem.
Strong experience designing and implementing CI/CD pipelines and DevOps automation.
Hands-on experience with Infrastructure as Code tools such as Terraform, OpenTofu, Pulumi, or CloudFormation.
Strong programming skills in Python and/or Go, including API integrations and automation development.
Experience with GitOps methodologies and tools such as Argo CD or Flux
Experience with observability and monitoring tools such as Prometheus, Grafana, ELK, or OpenSearch.
Excellent communication skills with the ability to engage customers, conduct assessments, and present recommendations.
Experience in consulting, professional services, Platform Engineering, or DevSecOps environments is an advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8727185
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דיווח על תוכן לא הולם או מפלה
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
06/07/2026
Location: Herzliya
Job Type: Full Time
Required DevOps Engineer
As a DevOps Engineer, you will:
Own and manage the companys internal AI infrastructure, including GPU-based environments
Manage and maintain Kubernetes-based infrastructure, owning the platform end to end
Design, develop and maintain in-house infrastructure, automation tools and systems
Manage the DevOps tools including Bitbucket, Jenkins, Artifactory, Monitoring tools and databases
Implement and maintain infrastructure as code using Terraform and Ansible
Take part in solving DevOps challenges in order to support and improve R&D Services and Delivery time
Own end-to-end responsibility for DEV environments
Maintaining R&D systems and issue, build self-services tooling and improve developer experience
Test and integrate new technologies and tools (POC)
Be in charge of integration with the CI team and workflows.
Requirements:
If you have:
At least 3 years of DevOps experience
At least 2 years of experience with Linux
Hands-on production experience with Kubernetes (deployment, operations, troubleshooting)
Experience with Infrastructure as Code and configuration management tools (e.g., Terraform, Ansible, Helm)
Experience with Jenkins and Groovy
Experience with Docker and Docker compose
Experience with monitoring and logging stacksuch as Prometheus, Grafana, ELK
Expertise in Source control infrastructure (Git)
Strong programming skills in one or more languages such as Python, Ruby, Go, Java or PowerShell or bash
Hands-on in virtualization environments or Cloud platforms
Strong problem-solving skills with a proactive, independent and hands-on approach
It would be great if you also have:
Experience with GitOps workflows such as Argo CD
Experience managing on-prem GPU-based infrastructure for AI/ML environments
Experience managing and maintaining artifact repositories (Artifactory)
Knowledge of networking fundamentals and methodology
Sysadmin background.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8725936
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
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שליחה
סגור
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
06/07/2026
Location: Herzliya
Job Type: Full Time
Required DevOps Infrastructure Engineer
As a DevOps Infrastructure Engineer, you will operate and evolve our mission‑critical on‑premise and hybrid infrastructure that powers our financial services. You will be responsible for running secure, highly available VMware‑based data center environments, integrating them with public cloud platforms, and providing reliable infrastructure services to R&D, DataOps, and DevOps teams in a regulated FinTech environment.
This role combines hands‑on operations, automation, monitoring, infrastructure hardening, and close collaboration with security and application teams to ensure our platforms remain resilient, compliant, and ready to scale.
While titled DevOps, this is an infrastructure‑focused role, with an emphasis on operating and evolving on‑prem and hybrid platforms rather than application‑level CI/CD pipelines.
What you'll do:
Operate, maintain, and improve mission‑critical on‑prem infrastructure for financial systems (VMware, Windows, Linux).
Support R&D, DataOps, and DevOps teams with reliable, secure, and compliant infrastructure services in a regulated FinTech environment.
Administer and harden on‑prem data center workloads, including OS installation, configuration, patching, capacity planning, and performance management.
Integrate on‑prem infrastructure with public clouds (AWS, Azure, GCP) in secure hybrid setups, including networking and identity integration.
Automate provisioning and configuration of VMs and environments using scripts and configuration management tools.
Develop and maintain infrastructure tools and scripts for deployment, monitoring, backup, and day‑to‑day operations (PowerShell, Bash, Python, or similar).
Design, implement, and maintain monitoring, logging, and alerting for on‑prem and hybrid environments using industry‑standard platforms.
Participate in on‑call rotation and incident response for business‑critical financial services, driving root‑cause analysis and permanent fixes.
Contribute to high availability, disaster recovery, and business continuity solutions, including backup/restore, replication, and failover scenarios.
Collaborate closely with security, networking, and development teams to ensure end‑to‑end resilience, performance, and compliance of the platform.
דרישות:
3+ years of experience as a System Administrator, Infrastructure Engineer, or DevOps Engineer in production environments (experience in FinTech or other regulated / mission‑critical industries is a plus).
Strong hands‑on experience with VMware (vSphere, ESXi, vCenter) and Windows/Linux server administration in on‑prem data centers.
Solid knowledge of core infrastructure services and networking concepts: Active Directory, GPO, DNS, DHCP, TCP/IP, VLANs, VPNs, basic routing, and load balancing.
Scripting skills in PowerShell and/or Bash/Python for automation of routine tasks, provisioning, and configuration.
Experience with certificate and PKI management, infrastructure hardening, secure configurations, patching, and access control.
Hands‑on experience with monitoring and logging tools (e.g., Prometheus, Grafana, Dynatrace, LogicMonitor, or similar).
Strong troubleshooting skills, ownership mindset, and comfort working with business‑critical systems.
Advantage:
Experience with SAN/NAS storage systems and enterprise backup and recovery solutions.
Knowledge of configuration management tools (Ansible, Chef, Puppet, or similar) for managing on‑prem and hybrid environments at scale.
Familiarity with containerization and Kubernetes ecosystems (Docker, Kubernetes), including basic cluster operations and troubleshooting.
Security background, including firewalls, EDR/XDR, WAF, micro‑segmentation, API protection, and security best practices for on‑prem and hybrid environments.
Hybrid cloud experience (AWS, המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8725793
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
06/07/2026
מיקום המשרה: מרכז
סוג משרה: משרה מלאה
לחברה ביטחונית מובילה המפעילה תשתיות מחשוב מתקדמות בהיקפים גדולים, דרוש/ה DevOps Engineer מנוסה לעבודה בסביבה סגורה ומאובטחת.
התפקיד כולל אחריות על הקמה, תחזוקה ושיפור של תשתיות DevOps מורכבות, הטמעת כלי Open Source, פריסת מערכות מבוססות Kubernetes, עבודה מול צוותי פיתוח ויועצים חיצוניים בתחומי AI
דרישות:
לפחות 4 שנות ניסיון כ- DevOps Engineer
ניסיון משמעותי בעבודה בסביבות On-Premise / רשתות סגורות.
ניסיון בעבודה עם Linux ברמת אדמיניסטרציה ותשתיות.
ניסיון בהקמה, תחזוקה ופריסה של Kubernetes.
ניסיון בעבודה עם כלי Open Source והטמעתם בארגון.
יכולת כתיבת סקריפטים (Bash / Python וכדומה) ברמה טובה.
יתרון משמעותי:
ניסיון בעבודה עם תשתיות GPU או סביבות AI/ML.
ניסיון בארגונים ביטחוניים, תעשיות ביטחוניות או גופים ממשלתיים. המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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05/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking a promising and talented Senior DevFinOps Engineer to join our DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps team, this is your opportunity to help make the world a safer place!
Key Responsibilities
Act as a DevFinOps Engineer within a highly skilled team, bridging engineering and finance to drive cloud cost efficiency across large-scale operations from development to production.
Design, develop, and maintain Avanan's cloud cost visibility, allocation, and optimization solutions - including tagging strategies, cost dashboards, budgets, and anomaly detection across accounts and services.
Implement tools and procedures for cost monitoring, forecasting, and alerting across our SaaS multi-tenant product family.
Embed FinOps practices into the CI/CD lifecycle - surfacing the cost impact of changes early, and enforcing cost guardrails as part of deployment automation.
build AI-based FinOps agents for cloud services at the infrastructure and application levels
Continuously identify and execute cost-optimization opportunities (right-sizing, reserved capacity/savings plans, spot usage, storage tiering, idle-resource cleanup) without compromising performance, reliability, or security.
Partner with engineering teams to drive cost accountability - providing unit-economics insight (cost per tenant/feature/service) and making cost a first-class engineering metric.
Plan capacity and model the financial impact of scaling decisions, balancing cost efficiency with fault tolerance and growth.
Design and shape our cost reporting, chargeback/showback, and budgeting solutions.
Execute all tasks with cloud infrastructure security and financial governance as guiding principles.
Requirements:
Hands-on mindset - we all write code daily!
3+ years of relevant DevOps/Cloud experience building and operating CI/CD pipelines for both development and production - must.
2+ years of AWS Cloud experience working with high-traffic systems and multiple services, with a strong grasp of AWS pricing models and cost management tooling (Cost Explorer, CUR, Budgets, Compute Optimizer) - must.
Strong scripting skills, with fluency in Python - must.
Experience working with AI tools to achieve cloud or application cost control, identify and investigate the root cause of cost changes (differentiating between organic growth / infrastructure change / config change / application change).
Demonstrated experience driving measurable cloud cost reductions and building cost-optimization tooling or automation - must.
Experience with containers and orchestration tools (Docker, Kubernetes, or ECS) and understanding of their cost drivers - must.
Familiarity with FinOps principles and practices (FinOps Foundation framework, showback/chargeback, unit economics) - an advantage.
Experience with CI integration tools such as Jenkins.
Familiarity with AWS CloudFormation and infrastructure-as-code - an advantage.
Exposure to a wide range of open-source technologies (Redis, Nagios, Grafana, Prometheus, etc.) and cost-analytics tooling.
Knowledge of best practices in security, performance, monitoring, and cost governance.
Proven ability to research, evaluate, and implement new technologies, including running proofs of concept and cost analysis.
Huge advantage: measuring and controlling AI cost.
This position is open to all candidates.
 
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Location: Bnei Brak
Job Type: Full Time
You will join our Media & Telecom division, building and operating mission-critical TV and streaming platforms used by global telecom operators.

This is a hands-on DevOps + SRE hybrid role, focused on engineering, reliability, and large-scale production systems. The team is responsible for designing, improving, and operating highly available services in a fast-moving, production-driven environment.

You will work closely with R&D, NOC, and Product teams, taking ownership of system behavior in production and driving continuous improvements in scalability, performance, and automation.

The day-to-day
Design, build, and improve scalable, highly available systems running on AWS
Work deeply with Kubernetes (K8s), Docker, and Helm charts in production environments
Build and maintain CI/CD pipelines (Jenkins, Argo Workflows) to support rapid and reliable delivery
Develop and manage infrastructure using Terraform (Infrastructure as Code)
Troubleshoot and resolve complex issues in distributed systems across application, infrastructure, network, data, and observability layers
Improve system reliability, monitoring, and observability using tools such as Prometheus, Coralogix (or similar)
Build, integrate, and operate AI-based systems and agents as part of production services
Collaborate with R&D, NOC, and Product teams to drive system improvements and resolve production challenges
Take part in on-call rotations as part of shared production ownership
Requirements:
Ideally, were looking for:
3+ years of hands-on experience in DevOps / SRE roles
Proven experience in production environments with high-availability systems and on-call responsibility
Strong hands-on experience with: AWS (production environments), Kubernetes (K8s) and Helm charts, Docker / containerized systems
Experience building and maintaining CI/CD pipelines (Jenkins, Argo Workflows)
Hands-on experience with Terraform or similar IaC tools
Experience working with Linux and Windows systems
Strong understanding of networking concepts and troubleshooting (TCP/IP, DNS, load balancing, connectivity debugging)
Hands-on experience with monitoring and observability tools (e.g., Prometheus, Coralogix, or similar)
Familiarity with data layer technologies such as MSSQL, MongoDB, and Redis

These would also be nice:
Experience with AI/ML technologies in production environments
Experience with DevSecOps or DevFinOps practices
Experience with configuration management tools (e.g., Chef) or large-scale distributed systems (media / telecom)
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Bnei Brak
Job Type: Full Time
You will join a global DevOps & Platform team responsible for designing and operating distributed production systems at very high scale, with a relentless focus on quality, robustness, and reliability. We provide our company with the tools it needs to push forward product innovation and scale in the age of AI.

You will own projects end-to-end, drive new implementations forward, and act as a technical partner across the organization. Youll work closely with the Platform teams, Development teams, Architects, AI/ML Researchers, and Product, translating complex needs into resilient systems that scale.

Were looking for someone who takes ownership, who can see a problem or a need, shape the solution, and carry it all the way to production.

The day-to-day
Lead initiatives end-to-end, from design through implementation to production rollout, owning the outcome, not just the task
Design, build, and operate highly available, distributed systems at scale on AWS and GCP, with a strong emphasis on quality and robustness
Work across the full platform stack, Kubernetes, Docker, and Helm, CI/CD and automation, and the data, caching, and messaging layers (Mongo, MySQL, Postgres, Redis, Kafka, and more)
Modernize and consolidate different stacks and architectures into our single, coherent platform
Build and operate the infrastructure behind our AI workloads, including GPU inference and the platforms that serve them
Drive system reliability, monitoring, and observability, and troubleshoot complex issues across application, infrastructure, networking, OS, and data layers
Collaborate across Platform, Development, Architects, AI/ML Researchers, and Product, and leverage modern AI coding tools to work at high velocity and quality
Requirements:
Ideally, were looking for:
2+ years of hands-on experience in DevOps / Platform / SRE roles, operating distributed production systems at high scale, with a proven ability to lead projects independently and drive new implementations end-to-end
Deep hands-on expertise with AWS in production (EKS, ECS, S3, EC2, CloudFront, IAM, Bedrock, MSK, Lambda, Cloudwatch) including Infrastructure as Code (Terraform or similar)
Deep hands-on expertise with Kubernetes and Helm, including a strong understanding of how Kubernetes internals work and how to operate them in production, alongside Docker / containerized systems
Strong knowledge of networking and operating systems (TCP/IP, DNS, load balancing, Linux internals)
Strong experience with CI/CD and automation (GitHub Actions), monitoring and observability (metrics, tracing, logging, tools like Prometheus / Grafana)
High proficiency with current AI coding tools, including a deep understanding of how they work and how to apply them to drive real productivity.

These would also be nice:
Experience integrating or migrating systems between different stacks or organizations
Experience driving cross-team technical initiatives
Experience working with GPUs for inference and serving AI/ML workloads
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.
Requirements:
Experience: 5+ years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.
Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.
Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.
AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.
Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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8721510
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
02/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
-Cloud Infrastructure Platform Ownership:
Design, implement, and maintain scalable infrastructure in a multi-account AWS organization
Manage and deploy applications using Helm charts, GitOps workflows using ArgoCD
Support CI/CD pipelines and release processes.

-Observability Reliability:
Implement and maintain monitoring and logging solutions.
Define alerts, dashboards, and SLOs to ensure system health and operational excellence.

-MLOps Enablement:
Support and operate ML infrastructure in AWS
Enable reliable model deployment, monitoring, and lifecycle management.

-DevSecOps Security:
Implement security best practices across infrastructure and CI/CD pipelines
Enforce IAM least-privilege policies and secure networking configurations
Integrate security ownership and compliance controls.

-DevFinOps Cost Optimization

-IT Operational Support
Requirements:
-3-5 years of experience working in a DevOps or Platform Engineering role.
-BSc degree in Computer Science, Engineering, or equivalent (required).
-Strong hands-on experience operating in an AWS environment.
Solid understanding of networking fundamentals, including: VPC design, subnets, routing tables, Load- balancers, NAT/Internet gateways.
-Experience maintaining Kubernetes clusters at scale, including managing and deploying Helm charts.
Strong background in observability and monitoring using: Prometheus, Grafana, and Loki and CloudWatch.
-Experience with GitOps workflows and continuous delivery using ArgoCD.
Proficiency with Infrastructure as Code (Terraform / Cloudformation), preferably using AWS CDK ( Python and/or TypeScript).
Core understanding of MLOps principles, including model deployment, monitoring, versioning, and- lifecycle management.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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02/07/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a talented DevOps engineer to join our team.
As a DevOps Engineer, you will architect and operate scalable, resilient cloud environments, using advanced automation and AI-based tools to improve system health, reduce manual intervention, and optimize infrastructure costs.
Responsibilities
Own the full lifecycle of the Coin Master platform. Ensure high availability, performance, and cost-efficiency across our multi-region AWS environment
Design and maintain robust, high-performance infrastructure using IaC. You will focus on building self-healing environments where AI agents continuously monitor and remediate issues in real-time
Embed security into the infrastructure layer. Leverage AI-assisted tooling to proactively identify and patch vulnerabilities across our Kubernetes clusters and AWS stack
Build tools and services that empower our engineering team to ship code faster. You are the architect of the platform, ensuring it is intuitive, scalable, and fully automated.
Requirements:
3+ years of DevOps experience. Proven track record in managing production-ready Kubernetes clusters, AWS infrastructure, and high-traffic distributed systems
Experience integrating AI tools into daily workflows, including hands-on use of AI agents (Cursor, Claude Code or similar) for infrastructure automation, planning, and debugging
Extensive management experience of multiple AWS accounts spanning various regions, proficient in services like Lambda, CloudFront, SQS, VPC, and IAM
Strong understanding of cloud cost optimization at scale through architectural design and automated resource management
Deep proficiency with modern CI/CD platforms (GitHub Actions, Jenkins, ArgoCD)
Advantage:
Experience with LLM orchestration (LangChain, LangGraph) or building internal tools/agents that interact with cloud APIs to automate operational tasks
Hands-on experience with Kafka (MSK/Apache Kafka) and high-performance caching layers like Redis/Elasticache
Experience with CloudFlare management and complex edge-computing configurations.
This position is open to all candidates.
 
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