DevOps Engineer: Kubernetes for Distributed Benchmarks

LinuxCareers; United States; Remote; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Institute of Free Technology seeks a DevOps Engineer to design and optimize Kubernetes clusters for large-scale P2P experiments. You will set up observability stacks and automate deployment with IaC tools, while ensuring reliable benchmarking of distributed systems.

Ideal candidates bring strong Kubernetes experience, Linux and cloud networking knowledge, and proficiency in Python, with a track record in research or production environments.

Qualifikationen

• Strong experience with Kubernetes and container orchestration in production or research environments.
• Solid understanding of Linux systems, cloud infrastructure, and networking principles relevant to distributed and P2P systems.
• Familiarity with monitoring and logging tools such as Grafana, Prometheus, and VictoriaLogs.
• Experience with infrastructure as code tools including Terraform, Ansible, and Helm.
• Proficiency in at least one scripting or programming language, preferably Python.

Aufgaben

• Design, configure, and optimize Kubernetes clusters to support large-scale experiments and benchmarks of P2P technologies.
• Set up, maintain, and optimize monitoring, logging, and observability stacks such as Grafana, Prometheus, and Loki.
• Automate infrastructure and deployment workflows using infrastructure-as-code tools to increase reliability and reduce overhead.
• Troubleshoot, profile, and tune distributed workloads to ensure accurate and performant benchmarking.
• Collaborate with researchers and engineers to streamline experimentation workflows and improve reproducibility.

Kenntnisse

Kubernetes

Linux systems

Cloud infrastructure

Monitoring & observability

Terraform

Ansible

Helm

Python

Tools

Grafana

Prometheus

Loki

VictoriaLogs

Terraform

Ansible

Helm

Jobbeschreibung

Institute of Free Technology seeks a DevOps Engineer to design and optimize Kubernetes clusters for large-scale P2P experiments. You will set up observability stacks and automate deployment with IaC tools, while ensuring reliable benchmarking of distributed systems.

Ideal candidates bring strong Kubernetes experience, Linux and cloud networking knowledge, and proficiency in Python, with a track record in research or production environments.