לוח משרות דרושים הייטק מחשבים ורשתות עבודה היברידית, לחיפוש זה נמצאו 147 משרות

Requirements:
Pre-Sales / SA experience. 4+ years in a Pre-Sales or Solution Architect role, where you've owned the technical relationship with prospects and earned their trust.
Deep Linux fluency. Excellent working knowledge of Linux operating systems - you're comfortable operating, troubleshooting, and tuning in a Linux environment.
Startup instincts. Experience working in a startup environment, where ambiguity is normal, ownership is high, and moving fast matters.
A feel for selling services. Experience selling DBaaS or other service-oriented products, with an understanding of how technical value translates into a buying decision.
Hands-on NoSQL expertise. 2+ years deploying and managing NoSQL databases (including data modeling and deploying applications on systems like Cassandra/DataStax, MongoDB, or Redis).
Coding ability. A solid command of modern scripting languages (e.g. Python, Node.js) and/or popular programming languages (e.g. C/C++, Java, C#) - enough to build, integrate, and demonstrate, not just discuss.
Big-data ecosystem exposure. Hands-on experience with tools like Spark, Kafka, time-series databases, and graph databases.
A relevant foundation. An undergraduate degree in engineering, computer science, or a similar field.
Outstanding communication. Exceptional written and verbal skills - you can explain complex technical concepts clearly to engineers and executives alike.

Requirements:
3+ years of software engineering with a focus on tooling or DX
Strong TypeScript, with sharp instincts for API and CLI design
Experience shipping and versioning developer-facing libraries
Care for docs, examples, and the first-five-minutes experience
Bonus: Electron, Go for CLI tooling, npm/registry publishing pipelines

Requirements:
5+ Years of experience as a DevOps engineer
Strong knowledge of Kubernetes and Container orchestration - a must
Experience with CI/CD tools - Jenkins / Github Actions / ArgoCD
Experience designing, developing, and implementing AI-driven workflows and automation
Hands-on experience in Linux and Windows platforms
Experience with Cloud & Container Security and Security Systems (Crowdstrike / Apono) - Advantage
Experience with monitoring systems
Configuration management tools like Ansible, Chef, or Salt
Experience with Cloud computing systems (AWS/Azure)
Experience with Python or other programming languages and programming concepts.
English - High Level (both written and verbal)
Certified Kubernetes Administrator (CKA) - an advantage.

Requirements:
Have to be proficient in Kubernetes, Linux and Jenkins with coding experience in Python.
Have to show experience designing and implementing large scale continuous delivery solutions
Have to be experienced with AI tools/AI agents and demonstrate cost effective use of it
Have to understand networking, security, performance for high scale applications.
Have to be a self-motivated professional capable of working with minimal supervision.
Have to possess detailed problem solving skills and experience in a global company.

Requirements:
Do you dream in C and know the Linux kernel like an old friend?
We need an eBPF wizard to build the secret sauce of platform - our ultra-lightweight, in-app sensor

Requirements:
Proven experience as a Cloud Architect, Cloud Solutions Architect, or in a similar cloud infrastructure role.
Deep understanding of cloud computing principles, microservices architectures, and serverless computing.
Expertise in at least one major cloud provider (GCP, AWS, Azure) and their core services (compute, storage, networking, databases).
Strong knowledge of containerization platforms and orchestration tools (Docker, Kubernetes).
Extensive experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation, Pulumi) and scripting languages (Python, Bash).
Solid understanding of cloud networking (VPC, VPN, routing, load balancing) and cloud security concepts.
Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
Strong problem-solving, analytical skills, and a customer-centric mindset.
Bachelors degree in Computer Science, Engineering, or a related field.
Advantage: Professional-level cloud certifications (e.g., Google Cloud Professional Cloud Architect, AWS Certified Solutions Architect - Professional).

Requirements:
Requirements & Qualifications:

Leadership Experience: 2+ years of experience leading technical teams (architects, DevOps, or engineering squads), including mentoring, task prioritization, and delivery accountability - ideally in a professional services or consulting environment.

Communication & Presentation: Outstanding verbal and written communication skills in English & Hebrew. Proven ability to conduct discovery calls and articulate sophisticated technical concepts to both engineering teams and non-technical business executives, and to represent the company at a senior level.

Cloud Platform Expertise: 5+ years of proven experience architecting, deploying, and managing complex production workloads on Google Cloud Platform (GCP) and/or Amazon Web Services (AWS), with deep knowledge of their core services (compute, storage, networking, databases).

Core Technical Foundations: Strong foundational knowledge of operating systems (Linux/Windows), virtualization environments, database architectures (SQL/NoSQL), and proficiency in scripting languages (such as Python and Bash) for automation and troubleshooting.

Modernization & Serverless Mastery: Practical experience implementing containerized solutions (Docker, Kubernetes/GKE/EKS) and serverless technologies (Cloud Run, AWS Fargate, ECS, Lambda, Cloud Run Functions).

Hands-On DevOps & IaC: Strong, hands-on background in DevOps practices. Expert-level knowledge of Infrastructure as Code (IaC) tools - specifically Terraform - along with deep experience in CI/CD pipeline construction.

Migration Experience: Proven track record of guiding enterprise migrations (re-hosting, re-platforming, and refactoring), particularly On-Prem to Cloud or cloud-to-cloud migrations (such as AWS to GCP).

Client-Facing Professionalism: A consultative, customer-centric mindset with strong analytical, scoping, and problem-solving abilities, and the maturity to own decisions independently under broad executive guidance.

AI/ML Familiarity: An understanding of the modern AI landscape, with the ability to identify opportunities where Generative AI can drive value for clients.

Education: Bachelor degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Preferred Advantages
Multi-Cloud experience: Hands-on architectural and deployment experience with both GCP and AWS.
Prior experience as a Team Leader, Delivery Lead, or Principal Architect in a cloud consulting / MSP / professional services company.
One of the following Professional-level cloud certifications:
- Google Cloud Professional Cloud Architect
- AWS Certified Solutions Architect - Professional
Deep expertise in FinOps methodologies and cloud cost allocation tools.

Requirements:
1-2 years' hands-on experience in a technical/customer support role (support teams, NOC, or similar) - a support background, not a general business-operations or analyst one.

Real familiarity with case queues, SLAs, and escalations gained from doing the work.

An analytical mindset and comfort with Salesforce; exposure to Tableau/PowerPoint/Confluence is a plus.

A process mindset - you think how do we stop this from happening again, not just how do we close this case.

Good written and verbal English; Hebrew is an advantage.

Requirements:
Bachelors degree in computer science, Engineering, or a related field
5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a similar role
Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
Proficiency with Infrastructure as Code tools (Terraform, CloudFormation)
Experience with configuration management tools
Deep knowledge of CI/CD tools
Strong scripting skills (Bash, Python, or Go)
Proficiency with containers and orchestration (Docker, Kubernetes, Helm)
Solid understanding of networking, security best practices, and Linux system administration
Excellent problem-solving, communication, and collaboration skills
Experience with monitoring and observability tools (Prometheus, Grafana, ELK,)
Exposure to zero-downtime deployments, blue-green deployments, and canary releases
Proficiency with Atlassian tools ( Bitbucket, Jira, Confluence )
Familiarity with code quality analysis tools ( linters, static analysis, etc )
Strong Git skills
Familiarity with AI-assisted development tools ( Github Copilot, Curser, Claude, etc )
Team player, fast self-learning individual, and service-oriented attitude
Education:
Bachelors degree in Computer science, Engineering, or a related field.

Requirements:
Requirements
3-5 years of experience as a DevOps Engineer.
Hands-on experience with Kubernetes (minimum 2 years), including k8s components, pods, services, ingress, logs, troubleshooting, and YAML files.
Strong scripting abilities in Bash, Python, PowerShell and Node.js.
Experience with Azure api gateway functions and cdn.
Experience with Azure Entra, subscriptions, resource groups managed groups tenants.
Experience with Azure security and networking - sentinel, vpn.
Serverless architecture experience in both AWS and Azure.
Experience with migrating from AWS to Azure, including transferring AWS Lambda functions to Azure Functions.
Familiarity with A10/A100 Azure VMs and handling Azure-based depl
2 years of experience in a DevOps / SysAdmin / Infrastructure role in a Microsoft environment.
Hands-on experience with Microsoft Azure.
Experience with Windows Server administration.
Significant experience with IIS management.
Good working knowledge of SQL Server at an operational DBA level
Experience writing PowerShell scripts for automation.
Solid understanding of networking concepts - DNS, SSL, permissions, services, and web processes.
Strong troubleshooting skills across infrastructure and application layers.
Ability to work independently as well as collaboratively within a team.
Responsible, organized, detail-oriented, and a self-learner.

Nice to Have
Experience with CI/CD tools and pipelines.
Familiarity with monitoring tools.
Background in information security - WAF, Firewall, and server hardening.

Requirements:
Requirements
Approximately 3 years of experience in a SecOps, SOC Tier 2, SOC Analyst, or similar security operations role.
Proven hands-on experience managing, maintaining, and troubleshooting Check Point Firewalls.
Hands-on experience with CyberArk PAM.
Hands-on experience with Trend Micro solutions and investigating alerts in EDR/XDR environments.
Practical familiarity with WAF solutions, preferably Radware, Reblaze, or Cloudflare.
Familiarity with SOC environments and SIEM/SOAR solutions.
Strong understanding of networking and security protocols, including TCP/IP, HTTP/S, SSL/TLS, and DNS.

Advantage
Experience using AI-driven security tools, automated analysis solutions, or AI capabilities within SOC/SecOps environments.
Understanding of cybersecurity risks related to AI, such as Prompt Injection and Data Leakage.
Experience leveraging AI tools for security investigation and threat analysis.

Requirements:
Requirements:
5+ years leading infrastructure/systems in mid-to-large organizations.
3+ years deep, hands-on experience with NetApp ONTAP.
3+ years managing Linux environments (Ubuntu/RedHat/CentOS).
Experience with VMware/KVM, cloud (AWS/Azure), and scripting (PowerShell/Bash/Python/Ansible).
Strong, proven experience managing Active Directory, Entra ID (Azure AD), GPO design, and complex permission structures.
Proven track record working closely with development/DevOps teams.

Nice to have:
Practical experience with AI tools (Generative AI/AIOps) for automation, data analysis, scripting, and troubleshooting.

Requirements:
2 years of experience in a DevOps / SysAdmin / Infrastructure role in a Microsoft environment.
Hands-on experience with Microsoft Azure.
Experience with Windows Server administration.
Significant experience with IIS management.
Good working knowledge of SQL Server at an operational DBA level.
Experience writing PowerShell scripts for automation.
Solid understanding of networking concepts - DNS, SSL, permissions, services, and web processes.
Strong troubleshooting skills across infrastructure and application layers.
Ability to work independently as well as collaboratively within a team.
Responsible, organized, detail-oriented, and a self-learner.