Principal Software Engineer - Kubernetes R&D - Startup - REMOTE Job at Living Talent, Dallas, TX

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  • Living Talent
  • Dallas, TX

Job Description

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

Job Tags

Remote job,

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