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Senior Kubernetes Developer - OPS00016

Senior Kubernetes Developer - OPS00016

Dev.ProSão Paulo, São Paulo, BR
Há 8 dias
Tipo de vaga
  • Remota
  • Quick Apply
Descrição da vaga

At Dev.Pro, we partner with businesses worldwide, from startups to Fortune 500 companies — across fintech, retail, hospitality and beyond.

With a remote‑first mindset and a team in 55+ countries, we focus on aligning technical expertise with client needs, communicating clearly, and staying adaptable as priorities shift. This commitment to ownership and flexibility helps us create lasting partnerships — so you can focus on what you do best.

With a remote‑first mindset and a team in 55+ countries, we focus on aligning technical expertise with client needs, communicating clearly, and staying adaptable as priorities shift. This commitment to ownership and flexibility helps us create lasting partnerships — so you can focus on what you do best.

About this opportunity

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

Is that you?

  • 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
  • Key responsibilities and your contribution

    In this role, you'll 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
  • Build internal tools and a self-service platform to simplify AI / HPC job deployment and management
  • Build a cloud-native platform for AI training, inference, and HPC workloads
  • Optimize scheduling to improve GPU utilization and reduce queue times
  • Monitor GPU clusters, troubleshoot production issues, and ensure high availability, fault tolerance, and disaster recovery
  • Develop CI / CD pipelines for GPU-intensive workloads
  • Implement best practices for multi-tenant GPU clusters with AI / HPC workloads
  • Ensure compliance with data sovereignty and international regulations
  • Maintain secure container, runtime, and workload isolation policies
  • Criar um alerta de emprego para esta pesquisa

    Senior Developer • São Paulo, São Paulo, BR

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