kubernetes python blockchain
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.
- 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, VictoriaLogs, etc.).
- Experience with infrastructure as code (Terraform, Ansible, Helm, etc.).
- Proficiency in at least one scripting/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 our core values and principles.
Bonus points
- Hands-on experience with libp2p or projects in the Logos collective.
- Background in performance benchmarking, scalability testing, or systems research.
- Contributions to open source projects.
- Experience working for an open-source organization.
Interview Process
- Interview with our POps team
- Interview with team member from the IFT-TS DST team
- Take-home assignment and discussion of results
- Interview with IFT-TS team lead
Apply for this role Opens job-boards.greenhouse.io — the employer's own page, as linked by the source that listed this role
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- 17 Oct 2026 Real Work From Anywhere first sighting
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