About the company
Logos is a grassroots movement to provide trust-minimized, corruption-resistant governing services and social institutions to underserved citizens. Logos’ infrastructure will provide a base for the provisioning of the next generation of governing services and social institutions - paving the way to economic opportunities for those who need them most, whilst respecting basic human rights through the network’s design.
Job Summary
Key responsibilities
📍Design, configure, and optimize Kubernetes clusters to support large-scale experiments and benchmarks of P2P technologies (e.g., libp2p, Waku, Codex, Nomos). 📍Continuously improve cluster scalability and resource utilization, enabling increasingly complex deployments and experiments. 📍Set up, maintain, and optimize supporting infrastructure such as monitoring, logging, and observability stacks (Grafana, Prometheus, Loki, etc.). 📍Collaborate with DST researchers and engineers to streamline experimentation workflows and make analysis easier and more reproducible. 📍Automate infrastructure and deployment workflows to increase reliability and reduce overhead. 📍Troubleshoot, profile, and tune distributed workloads to ensure accurate and performant benchmarking. 📍Identify, reproduce, and debug complex issues in distributed systems, working closely with Logos development teams.
You ideally will have
📍Strong experience with Kubernetes and container orchestration in production or research environments. 📍Solid understanding of cloud infrastructure, Linux systems, and networking (especially relevant to distributed/P2P systems). 📍Familiarity with monitoring and logging tools (Grafana, Prometheus, ELK/Loki, etc.). 📍Experience with infrastructure as code (Terraform, Ansible, Helm, etc.). 📍Proficiency in at least one scripting/programming language (ideally Python).
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