DevOps Engineer

You will design, configure, and optimize Kubernetes clusters for large-scale P2P experiments and benchmarks. You will maintain observability infrastructure, automate deployments, improve experimentation workflows, and troubleshoot distributed workloads. You will also identify, reproduce, and debug complex distributed-systems issues and provide actionable technical recommendations.

Responsibilities

• Design, configure, and optimize Kubernetes clusters for large-scale P2P experiments and benchmarks.
• Improve cluster scalability and resource utilization.
• Set up, maintain, and optimize monitoring, logging, and observability stacks.
• Collaborate with researchers and engineers to streamline reproducible experimentation workflows.
• Automate infrastructure and deployment workflows.
• Troubleshoot, profile, and tune distributed workloads for accurate, performant benchmarking.
• Identify, reproduce, and debug complex distributed-systems issues with development teams.

Requirements

• Strong experience with Kubernetes and container orchestration in production or research environments.
• Understanding of cloud infrastructure, Linux systems, and networking.
• Familiarity with monitoring and logging tools such as Grafana, Prometheus, and VictoriaLogs.
• Experience with infrastructure as code, including Terraform, Ansible, or Helm.
• Proficiency in at least one scripting or programming language, ideally Python.
• Interest in or experience with distributed systems, P2P networks, or blockchain technologies.
• Experience with networks and systems programming.
• Excellent written and conversational communication skills.
• Alignment with core values and principles.