Senior Kubernetes Developer - OPS00016

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.

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