Senior Kubernetes Developer

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