דרושים » מחשבים ורשתות » DevOps /Platform Engineer

Requirements:
Minimum five years of experience in a DevOps role or similar capacity
Strong knowledge of cloud platforms (AWS, Azure, Google Cloud Platform)
Deep knowledge in Kubernetes: Platforms (EKS, AKS, GKE) and internals
Monitoring and alerting (Prometheus, Grafana, Datadog, Coralogix, logz.io)
Experience with containerization technologies: CRI, Containers, Docker on top of Kubeadm, Minikube
Familiarity with infrastructure automation tools like Terraform, Helm, ArgoCD, Terragrunt
Strong scripting skills in Python, Bash, or similar languages
Knowledge of security concepts, principles, and best practices
Excellent problem-solving abilities and attention to detail
Strong communication and collaboration skills

Requirements:
3+ years of experience in a DevOps, Cloud Engineering, or Infrastructure role, with demonstrated success managing and scaling production-grade systems on cloud platforms.
3+ years of Proven hands-on coding experience in TypeScript, particularly in the context of infrastructure automation, cloud tooling, or platform engineering.
Experience with Docker and/or Kubernetes.
Solid experience with Pulumi (preferred) or equivalent IaC tools such as Terraform or CloudFormation, with a strong willingness to work primarily with Pulumi.
Practical experience designing, deploying, and managing AWS Landing Zones, including multi-account strategies, security baselines, centralized logging, and governance models.
Strong knowledge of CI/CD pipelines and automation workflows using tools such as GitHub Actions, GitLab CI, CircleCI, or similar.
Deep understanding of core AWS services, including EC2, ECS, Lambda, VPC, IAM, RDS, CloudFront, S3, and Route 53.
Experience with networking fundamentals in AWS: VPC design, subnets, routing tables, NAT gateways, security groups, NACLs etc.
Strong grasp of IAM and security best practices: role and policy design, secrets management, least privilege enforcement, and cloud identity governance.
Familiarity with observability tools (e.g., CloudWatch, Datadog, Prometheus, Grafana) for monitoring, logging, and incident response.
Comfortable working in a fast-paced, collaborative team environment, with a high level of ownership, accountability, and adaptability.

Requirements:
8+ years of experience in DevOps/SRE roles for large-scale cloud systems.
Deep hands-on experience with AWS, Kubernetes, and Infrastructure as Code.
Strong scripting and automation skills (Python, Bash).
Experience with CI/CD tools (Jenkins, GitHub Actions, ArgoCD, etc.).
Familiarity with secure development and compliance (SOC2, ISO).
Advantage: background supporting AI/ML pipelines or telemetry-heavy services.

Requirements:
Minimum of 5 years of experience in a DevOps or infrastructure engineering role, with a focus on cloud platforms and automation.
Hands-on experience with AWS infrastructure, services, and best practices, including multi-region and multi-account setups.
AWS Certified DevOps Engineer or equivalent certification is preferred.
Experience working in an Agile/Scrum development environment.
Strong skills in Terraform, Kubernetes, CI/CD (e.g., GitHub Actions), and observability tools (e.g., Datadog, Prometheus, OTLP).

Requirements:
Requirements:
35+ years of experience in DevOps, Cloud Engineering, or related roles.
Hands-on expertise with at least two major cloud providers (AWS, Azure, GCP; experience with all three is a plus).
Strong programming skills in Python and Bash (automation, tooling, scripts).
Proficiency in Linux systems administration.
Strong experience with Kubernetes, Docker, and container orchestration.
Deep understanding of networking fundamentals (TCP/IP, UDP, DNS, VPNs, routing, firewalls).
Experience with IaC tools: Terraform, CloudFormation, Azure Bicep.
Familiarity with CI/CD tools (GitHub Actions, GitLab CI, or similar).
Excellent problem-solving and troubleshooting skills.
Excellent communication skills, with the ability to work directly with customers.
Observability stack experience (Datadog, Prometheus, Grafana, ELK, etc.).

Nice to Have:
Experience in SaaS environments or multi-cloud deployments.
Security best practices and compliance knowledge (IAM, RBAC, data protection).