diverse infrastructure stack. Extensive knowledge of cloud platforms (AWS, Azure, GCP) and infrastructure as code (Terraform, CloudFormation). Familiarity of service mesh technologies (Istio, Linkerd). Solid understanding of virtualization (VMware, Hyper-V) and containerization (Docker, Kubernetes) and orchestration. Understanding of storage solutions (SAN, NAS, cloud storage) and backup systems. More ❯
understanding of networking, Linux, and security fundamentals. Preferred Qualifications Experience supporting GPU‑accelerated workloads or MLOps/LLMOps platforms. Familiarity with service mesh (Istio, Linkerd) and event‑driven architectures (Kafka, Pub/Sub). Knowledge of distributed storage systems (Ceph, MinIO, S3) and artifact registries. Certifications: CKA/CKAD, AWS More ❯
AWS (Ideally including AWS DevOps Engineer certification) Containerisation and Orchestration with K8s, EKS and Docker Kubernetes package management with Helm Charts Service Mesh with Linkerd Strong knowledge of Serverless Technologies Infrastructure as Code with Terraform, Ansible and CloudFormation CI/CD with Azure DevOps Scripting & Automation skills with Bash, Python More ❯
solving skills. Strong communication and documentation skills. Desirable: Experience with cloud-based Kubernetes services (e.g., EKS ). Knowledge of service mesh technologies (e.g., Istio, Linkerd). Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Familiarity with CI/CD pipelines and containerization best practices. Kubernetes certifications More ❯
