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DevOps Engineer; DST

Job in Chicago, Cook County, Illinois, 60601, USA
Listing for: IFT
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: DevOps Engineer (DST)

Описание:
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 s 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. 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 Dev Ops 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.

Задачи:
  • 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.
Требования:
  • 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, Victoria Logs, 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.
  • 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
  • Pair programming & discussion of results
  • Interview with IFT-TS team lead
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