דרושים » מחשבים ורשתות » DevOps engineer

Requirements:
Requirements
At least 3 years of hands-on experience in DevOps, Platform Engineering, or a similar infrastructure-focused role.
Hands-on experience with a public cloud environment.
Production experience with Kubernetes, Docker, and Helm.
Experience with Terraform and Infrastructure as Code practices.
Experience with CI/CD, GitHub Actions, GitOps, and Argo CD.
Experience establishing or maintaining observability and monitoring capabilities, including Prometheus.
Strong scripting skills.
Experience collaborating closely with software engineering teams in a dynamic, cross-functional environment.
High proficiency in Hebrew and English.
A relevant degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

Preferred Qualifications
Experience supporting AI products or LLM-based workloads.
Experience with cloud security, infrastructure hardening, and secure platform practices.
Experience with cloud cost optimization.
Experience using AI-powered code assistance or development tools.

Requirements:
what we need to see:
a degree in Computer Science or a related field, or equivalent practical experience.
5+ years of software engineering experience, including building Developer tools, shared libraries, or engineering infrastructure.
strong programming skills and the ability to design maintainable software used by other engineers.
practical experience developing ci/cd pipelines, automated testing frameworks, and git-based development workflows.
ability to diagnose unreliable tests, slow feedback cycles, and recurring development friction, and address their underlying causes.
experience delivering and maintaining reliable software, including testing, debugging, and operational support.
ability to use ai development tools effectively and evaluate generated code for correctness, security, and maintainability.
clear communication, sound engineering judgment, and the ability to collaborate across team boundaries.
ways to stand out from the crowd:
experience maintaining open-source projects or improving external contributor workflows.
experience building tooling for coding agents, evaluating ai-generated changes, or automating code review.
background with compatibility matrices, performance benchmarking, or scale-testing frameworks.
familiarity with secure ci practices, dependency integrity, and running tests on untrusted contributions.
a track record of measurably improving Developer productivity and software reliability.
we are widely considered to be one of the technology world's most desirable employers. we have some of the most forward-thinking and hardworking people in the world working for us. if you're creative and autonomous, we want to hear from you!
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements:
Requirements
At least 3 years of hands-on experience in DevOps or Platform Engineering roles.
Proven experience in a SaaS company, including ownership of Production systems.
Experience as a sole DevOps engineer, technical lead, or in a role with broad ownership of product infrastructure.
Hands-on experience building and maintaining cloud-native infrastructure in a public cloud environment.
Significant experience with Kubernetes, Docker, Helm, and Terraform.
Experience with CI/CD, GitHub Actions, GitOps, and Argo CD.
Experience with Prometheus and observability, monitoring, and alerting systems.
Experience with on-call, incident response, incident analysis, and improving Production-system reliability.
Strong scripting skills.
Demonstrated ability to provide technical leadership, operate independently amid ambiguity, and drive cross-functional initiatives.
High proficiency in Hebrew and English.
A relevant degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

Preferred Qualifications
Experience with Azure.
Experience building and scaling Production infrastructure from the ground up for a SaaS product.
Experience with AI products, LLM workloads, or Voice / Conversational AI systems.
Experience with cloud security, IAM, secrets management, and infrastructure hardening.
Experience with cloud cost optimization and efficient resource management.
Experience managing or mentoring DevOps / Platform Engineering professionals.
Experience using AI-powered code assistance or development tools.

Requirements:
4+ years of hands-on DevOps / Platform Engineering experience in production environments within a public cloud environment (AWS preferred)
Strong, production-grade Kubernetes experience (design, deployment, scaling, and troubleshooting) with solid AWS experience (VPC, IAM, EC2, EKS, Load Balancers, DNS)
Experience designing and operating highly available, scalable infrastructure systems
Experience with managed and distributed databases (AWS Aurora, RDS, MongoDB, Redis)
Hands-on experience with Infrastructure as Code and configuration management (Terraform required, Terragrunt & Ansible - advantage)
Experience with Docker and containerized workloads
2+ years of experience building and maintaining CI/CD pipelines (Jenkins, GitHub Actions)
Proficiency in Python for automation and strong Linux administration skills
Experience with monitoring and observability tools (Prometheus, Grafana)
Development experience and familiarity with GenAI platforms (AWS Bedrock, Vertex AI, OpenAI) - advantage.

Requirements:
5+ years of experience in DevOps / IT Infrastructure / System Engineering roles in global hi-tech environments.
Strong hands-on experience with cloud platforms (AWS and Azure).
Proven experience with VMware / Nutanix / KVM environments.
Experience with Azure Entra ID (Azure AD), including SSO, MFA, Conditional Access, and identity lifecycle management.
Strong Linux administration skills.
Solid scripting abilities (PowerShell, Python, Bash, or similar).
Experience with automation and Infrastructure as Code tools (e.g., Terraform - advantage).
Familiarity with networking concepts: firewalls, VPNs, switches, WiFi, NAC, ZTNA (FortiGate - advantage).
Experience with enterprise MDM solutions (Microsoft Intune, MobileIron/IVANTI).
Hands-on experience with backup solutions such as Commvault Metallic, Veeam, or Commvault.
Ability to work in high-pressure, mission-critical environments.
Business-level English (written and spoken).
Advantages:
Experience with Kubernetes, Docker, and containerized environments.
Knowledge of CI/CD pipelines and DevOps methodologies.
Relevant certifications (AWS/Azure Architect, RHCE, CCNA, MCSA).
Advanced networking knowledge (routing, switching, VPNs).
Experience with large-scale networking, telco, or cloud infrastructure environments.
Soft Skills:
Strong service orientation and communication skills.
Independent problem solver with a proactive mindset.
Team player with excellent time management skills.

Requirements:
Your Experience:
6+ years of Devops engineering experience on mission-critical, enterprise-level systems in a hybrid (both cloud and on-prem) environment.
3+ years of hands-on experience with cloud environments, preferably Google Cloud Platform (GCP).
Expertise in configuration management and Infrastructure-as-Code using frameworks such as Terraform and Ansible.
Strong programming/scripting knowledge in languages like Python, Bash, or Go for infrastructure automation.
Demonstrated experience with CI/CD pipelines (e.g., GitHub, Jenkins, Artifactory) and a strong foundation in Linux/Unix administration.
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Preferred Qualifications
Experience with containerization and orchestration technologies, particularly Kubernetes.
Hands-on experience with monitoring and observability tools such as Datadog, Grafana, or Prometheus.
Understanding of networking principles including firewalls, load balancers, and complex network designs.
A curious and positive mindset with a passion for applied learning and challenging existing processes for continuous improvement.

Requirements:
Your experience:
2 - 4 years of hands-on experience as a DevOps Engineer.
Strong background in Linux administration, network troubleshooting, and scripting (Bash, Python, or JavaScript).
Experience managing container workloads and Kubernetes, with a strong preference for GCP.
Proficient with Infrastructure as Code and configuration tools like Terraform, Ansible, and Helm.
Hands-on experience building and maintaining CI/CD pipelines, ideally using GitLab CI or Jenkins.
Familiarity with observability tools and managing databases such as BigQuery, MongoDB, Neo4j, or ElasticSearch.
Collaborative team player and fast learner with experience supporting scalable, multi-service production environments.

Requirements:
Your experience:
2 - 4 years of hands-on experience as a DevOps Engineer.
Strong background in Linux administration, network troubleshooting, and scripting (Bash, Python, or JavaScript).
Experience managing container workloads and Kubernetes, with a strong preference for GCP.
Proficient with Infrastructure as Code and configuration tools like Terraform, Ansible, and Helm.
Hands-on experience building and maintaining CI/CD pipelines, ideally using GitLab CI or Jenkins.
Familiarity with observability tools and managing databases such as BigQuery, MongoDB, Neo4j, or ElasticSearch.
Collaborative team player and fast learner with experience supporting scalable, multi-service production environments.

Requirements:
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.

Requirements:
Your Experience
Strong experience of 5-7 years in DevOps / Platform Engineering roles.
Good understanding of the AI ecosystem and modern AI workflows.
Hands-on familiarity with AI tools such as Claude and other GenAI platforms.
Ability to present a personal AI-related project
Solid understanding of production systems and modern CI/CD practices.
Experience with cloud infrastructure, automation, and deployment pipelines.
Strong communication skills and ability to work across multiple stakeholders.
Nice to have
Exposure to DevSecOps, compliance, and FinOps practices.
Experience building or integrating AI-driven systems in production environments.
Experience building tools or automations using Claude or similar GenAI tools.