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Living Talent

Living Talent

via LinkedIn

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Sr. Software Engineer | Kubernetes | GPU Orchestration - REMOTE

Anywhere
Full-time
Posted 2/15/2026
Verified Source
Key Skills:
Kubernetes
Cloud Infrastructure
Open-Source Contributions

Compensation

Salary Range

$250K - 250K a year

Responsibilities

Lead the design, architecture, and development of Kubernetes-based cloud infrastructure, including high-availability solutions, monitoring, and cost optimization.

Requirements

Extensive experience with Kubernetes, open-source contributions, and knowledge of cloud and MLOps platforms, with strong communication skills.

Full Description

GPU Orchestration • Startup • Company size: 30 • Remote within North America • Compensation: Base Salary 250k + Equity 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). • Excellent communication skills for both technical and non-technical stakeholders. • Bachelor’s or Master’s 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 Remote About the Company: Living Talent

This job posting was last updated on 2/19/2026

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