Senior Kubernetes Developer - OPS00016

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