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Senior Kubernetes Developer - OPS00016 at Dev.Pro. 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. Company Location: Peru.