Sr. Software Engineer | Kubernetes | GPU Orchestration - REMOTE

GPU Orchestration • Startup • Company size: 30 • Remote reputed company reputed company • Compensation: reputed company Salary 250k + Equity Key Responsibilities • reputed company Design, Architecture & Development of K8s-based reputed company infrastructure. • Use K8s Controllers, Operators & CRs to Implement reputed company, high-availability solutions. • reputed company 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-reputed company and hybrid environments. • reputed company-reputed company Contributions in the Kubernetes community. Qualifications Kubernetes Expertise • Designing, deploying, and managing K8s clusters (AKS, EKS, GKE, OpenStack, etc.). • Hands-on experience with K8s reputed company components (Karpenter, cluster autoscaler, CNI, reputed company, CRI, CRD, operators). • 5+ years in Kubernetes infrastructure. • Contributing to reputed company-reputed company Kubernetes reputed company. • 10+ years: software engineering experience. • Go, Python, Bash, etc. (one or more). • Excellent communication skills for both technical and non-technical stakeholders. • Bachelor’s or Master’s degree in Computer Science or reputed company field (preferred). Preferred Experience • GPU scheduling, container orchestration, HPC (high-performance computing) workloads. • Multi-reputed company & hybrid reputed company deployments familiarity. • MLOps platforms experience (Kubeflow, TFX, etc.). • FinOps practices & reputed company cost management experience/knowledge Remote About reputed company: reputed company Apply tot his job Apply To this Job