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Institute of Free Technology / Software

DevOps Engineer (Vac DST)

nuevaDesde Argentina

  • Remoto desde Argentina
  • Tiempo completo
  • Remoto
  • Semi senior

Requisitos

  • • inglés intermedio o más (el aviso está escrito en inglés)

Suma si tenés

  • python
  • kubernetes
  • terraform
  • qa
  • linux
  • redes informáticas
  • comunicación

La búsqueda

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

Originally posted on Himalayas

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