Senior Kubernetes Developer - OPS00016

Dev.Pro; Bogotá; A distancia; COP 310.318.076 - 465.477.114; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Work on cutting-edge GPU infrastructure

Collaborate with a top-tier international team

Continuous learning and conference participation

Descripción de la vacante

An international tech company is seeking a skilled Kubernetes Developer to join their fully remote team. You will design and manage Kubernetes platforms for GPU-intensive workloads, collaborate across time zones, and enhance infrastructure performance. The ideal candidate has over 3 years of experience with Kubernetes, HPC schedulers, and strong programming skills in Go and Python. Opportunities for growth through continuous learning and conference participation are provided.

Formación

• 3+ years of hands-on Kubernetes experience in production.
• Experience with HPC schedulers such as Slurm, PBS, or LSF.
• Strong background in GPU resource management and distributed systems.
• Programming skills in Go and Python are essential.

Responsabilidades

• Design and manage Kubernetes platforms for GPU-intensive AI/HPC workloads.
• Design and build a Slurm-like orchestration layer on Kubernetes.
• Develop CI/CD pipelines for GPU-intensive workloads.

Conocimientos

Hands-on Kubernetes experience

GPU resource management

Experience with HPC schedulers

Cloud/hybrid cloud architecture

Programming skills in Go

Programming skills in Python

Linux administration skills

Familiarity with PyTorch

Familiarity with TensorFlow

IaC tools (Terraform, Helm)

Descripción del empleo

Overview

Dev.Pro Bogota, D.C., Capital District, Colombia — We invite a skilled Kubernetes Developer to join our fully remote, international team. In this role, you'll build and optimize the Kubernetes orchestration platform and develop custom operators to run HPC/AI workloads efficiently on GPU clusters. You'll enhance infrastructure performance and reliability, create internal tools to improve the developer experience, and ensure multi-tenant HPC workloads remain secure and compliant.

What’s in it for you

• Work on cutting-edge GPU infrastructure and next-gen HPC/AI workloads
• Build a Slurm-on-Kubernetes product from scratch and shape its architecture
• Collaborate with a top-tier international team and grow through continuous learning and conference participation

Key Responsibilities

• Design, develop, and manage Kubernetes platforms for GPU-intensive AI/HPC workloads
• Design and build a Slurm-like orchestration layer on Kubernetes for HPC/AI workloads
• Develop custom operators and controllers for GPU job scheduling and execution
• Integrate batch schedulers with Kubernetes to provide a hybrid HPC/Cloud product
• Implement advanced GPU resource management and multi-tenant isolation policies
• Build internal tools and a self-service platform to simplify AI/HPC job deployment and management
• Monitor GPU clusters, troubleshoot production issues, and ensure high availability, fault tolerance, and disaster recovery
• Develop CI/CD pipelines for GPU-intensive workloads
• Ensure compliance with data sovereignty and international regulations

Qualifications

• 3+ years of hands-on Kubernetes experience in production
• Experience with HPC schedulers (Slurm, PBS, LSF, Volcano)
• Strong background in GPU resource management and distributed systems
• Experience with cloud/hybrid cloud architectures (AWS, GCP, Azure, on-prem GPU clusters)
• Knowledge of Kubernetes operators, CRDs, scheduling, networking, and storage
• Deep knowledge of HPC job scheduling and workload orchestration
• Expertise in IaC (Terraform, Helm, or GitOps: ArgoCD/Flux) and monitoring & observability (Prometheus, Grafana, Jaeger, ELK)
• Programming skills in Go, Python, Bash/Shell
• Familiarity with PyTorch, TensorFlow, distributed training, and model serving
• Skills in Linux administration, performance tuning, and advanced networking (RDMA, InfiniBand, TCP/IP, DNS, load balancing)
• Experience in storage management and optimization for large datasets

Note: This role is fully remote and international, with a focus on collaboration across time zones.