We're looking for a Principal Cloud Kubernetes Engineer (AWS & Azure) to design, deploy, and operate multi-cloud Kubernetes infrastructure using GitOps and infrastructure as code to enable scalable, reliable, and secure platform operations.

🎯 Responsibilities

• Design, implement, and maintain production Kubernetes clusters on EKS and AKS across multiple environments and regions
• Configure and operate GitOps workflows with ArgoCD for declarative application delivery and cluster configuration
• Develop and manage infrastructure as code using Terraform for cloud resources and Helm/Helmfile for Kubernetes deployments
• Build observability and reliability practices using Prometheus, Grafana, and CloudWatch
• Implement monitoring and alerting strategies
• Apply security best practices, including network policies, RBAC, pod security controls, and secrets management
• Operate and optimize Kubernetes add-ons such as Argo Workflows, Argo Rollouts, cert-manager, CSI drivers, and cluster autoscalers
• Diagnose and resolve distributed systems issues across compute, networking, and storage layers
• Collaborate with development teams to improve deployment models, scalability, and resource utilization
• Document architectures, operational workflows, and incident-handling standards

🛠️ Requirements

• At least 7 years of professional engineering experience with modern cloud-native architectures
• Strong expertise in AWS and Azure, including EKS, AKS, VPC/VNet, IAM, EBS/EFS, S3, load balancers, and Route 53
• Deep understanding of Kubernetes architecture, networking, storage, and security principles, with experience managing production-scale environments
• Proven experience with infrastructure-as-code workflows using Terraform, including module development and state handling
• Strong experience with Helm and Helmfile
• Practical knowledge of GitOps tools such as ArgoCD or Flux and declarative infrastructure deployment
• Experience implementing security policies, secrets management, and compliance automation
• Advanced knowledge of observability tools, including Prometheus and Grafana, and log management with CloudWatch or ELK/EFK
• Scripting proficiency in Bash, Python, or Go for automation and systems tooling
• Strong knowledge of containerization and image lifecycle management using Docker, ECR, or ACR
• Clear communication skills and the ability to document complex systems effectively

➕ Nice to have

• Familiarity with policy-as-code frameworks such as Kyverno or OPA/Gatekeeper
• Experience with AWS PrivateLink, VPC peering, and hybrid or multi-cloud networking
• Understanding of service mesh patterns, ingress controllers, and DNS management
• Experience with performance tuning and capacity planning for Kubernetes environments

🤗 Benefits

• Private health insurance
• Employee stock purchase plan
• 100% paid sick leave
• Referral program
• Professional certification support
• Language courses
• 24 working days of annual leave
• Paid time off for public holidays
• Career development planning, internal training, mentorship, sponsored certifications, and LinkedIn courses
• Opportunities to grow as a People Manager, technical specialist, Solution Architect, or Project or Delivery Manager