DevOps Engineer

About Logos (λ)

Logos (λ) is a movement of technologists, creatives, strategists, and activists working together to build a sovereign, people-owned technology stack that revitalises civil society and protects digital liberties at scale.

This position is within the IFT Technical Services (IFT-TS) Distributed Systems Testing (DST) Team, a team that primarily supports Logos, while also contributing to other IFT projects.

The role

We are seeking an experienced Distributed Systems Evaluation Engineer to join the Institute of Free Technology - Technical Services, on the Distributed Systems Testing (IFT-TS DST) team. This role focuses on rigorously assessing the performance and reliability of IFT projects at scale, where Logos (λ) is one of them.
Logos (λ) technology stack is composed of 3 main components:

• Logos (λ) Blockchain: Advanced privacy for a new era of decentralised applications and social institutions.
• Logos (λ) Messaging: Private peer‑to‑peer communication that resists surveillance and censorship.
• Logos (λ) Storage: Secure decentralised storage enabling fully decentralised apps and file sharing.

We are looking for a talented and enthusiastic DevOps Engineer to join our Distributed Systems Testing (DST) team.
You’ll be responsible for designing and executing comprehensive evaluation strategies, leveraging both large-scale lab deployments and protocol behavior modeling scripts. Your expertise will be crucial in analyzing these complex distributed systems, automating intricate test scenarios, and providing in-depth insights into system behaviors.
Working closely with cross-functional teams, you’ll troubleshoot complex issues and translate technical data into actionable recommendations. Proficiency in containerization, cloud technologies, and distributed systems principles is essential.

Key responsibilities

• Design, configure, and optimize Kubernetes clusters to support large-scale experiments and benchmarks of P2P technologies.
• 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.