Principal Software Engineer - Kubernetes Expert - Remote - Startup - Living Talent

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.
• 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