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Principal Software Engineer with Kubernetes Expertise Build cloud-native solutions optimizing compute for CPU and GPU. The platform: Autonomous Cloud Orchestration based on K8s control layer. Startup (revenue-generating, Series A) - Product Co. Company size: 30 Future unicorn REMOTE first culture Smart, fun, low-ego team culture Compensation: Base Salary 200 , Equity (future Unicorn) Key Responsibilities Lead Design, Architecture & Development of K8s-based cloud infrastructure. Use K8s Controllers, Operators & CRs to Implement scalable, high-availability solutions. Integrate Karpenter, and/or other advanced tools for infrastructure optimization. Architect MLOps Middleware integration (dynamic workload migration, resource disaggregation). Build monitoring, logging & alerting systems. Drive infrastructure cost optimization through FinOps best practices in K8s deployments. Promote K8s best practices & mentor software engineers. Collaborate across teams to drive K8s adoption in multi-cloud and hybrid environments. Open-Source Contributions in the Kubernetes community. Qualifications Kubernetes Expertise Designing, deploying, and managing K8s clusters (AKS, EKS, GKE, OpenStack, etc.). Hands-on experience with K8s core components (Karpenter, cluster autoscaler, CNI, CSI, CRI, CRD, operators). 5+ years in Kubernetes infrastructure. Contributing to open-source Kubernetes projects. 10+ years: software engineering experience. Go, Python, Bash, etc. (one or more). IaC tools proficiency (Terraform, Helm). CI/CD pipelines & DevOps practices. Excellent communication skills for both technical and non-technical stakeholders. Bachelors or Masters degree in Computer Science or related field (preferred). Preferred Experience GPU scheduling, container orchestration, HPC (high-performance computing) workloads. Multi-cloud & hybrid cloud deployments familiarity. MLOps platforms experience (Kubeflow, TFX, etc.). FinOps practices & cloud cost management experience/knowledge