DevOps Engineer – Vac DST

Institute of Free Technology

. Design, configure, and optimize Kubernetes clusters for large-scale P2P technology experiments and benchmarks .

Posted 10/16/2026full-timeRemoteMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and optimizing Kubernetes clusters for large-scale distributed systems, with a strong focus on automation, monitoring, and performance tuning. Proficient in cloud infrastructure and scripting, with a solid understanding of P2P technologies and networking.

Highest-signal resume keywords

Kubernetes ExpertiseCloud Infrastructure KnowledgeMonitoring Tools ProficiencyInfrastructure As Code ExperienceScripting/Programming Skills

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

KubernetesContainer OrchestrationCloud InfrastructureLinux SystemsNetworkingTerraformAnsibleHelmPythonDistributed Systems

Soft Skills

Excellent Communication Skills

Tools & Technologies

GrafanaPrometheusLokiVictoriaLogs

Industry Keywords

P2P TechnologyBlockchain TechnologiesDistributed Systems Programming

Tech Stack

Tools & technologies

AnsibleCloudDistributed SystemsGrafanaKubernetesLinuxPrometheusPythonTerraform

About the role

Key responsibilities & impact

Design, configure, and optimize Kubernetes clusters for large-scale P2P technology experiments and benchmarks
Improve cluster scalability and resource utilization for increasingly complex deployments and experiments
Set up, maintain, and optimize monitoring, logging, and observability infrastructure, including Grafana, Prometheus, and Loki
Collaborate with DST researchers and engineers to streamline experimentation workflows and improve reproducibility
Automate infrastructure and deployment workflows to increase reliability and reduce overhead
Troubleshoot, profile, and tune distributed workloads for accurate and performant benchmarking
Identify, reproduce, and debug complex distributed-systems issues with Logos development teams
Design and execute comprehensive evaluation strategies using large-scale lab deployments and protocol behavior modeling scripts
Analyze distributed systems and translate technical data into actionable recommendations

Requirements

What you’ll need

Strong experience with Kubernetes and container orchestration in production or research environments
Solid understanding of cloud infrastructure, Linux systems, and networking, especially for distributed/P2P systems
Familiarity with monitoring and logging tools such as Grafana, Prometheus, and VictoriaLogs
Experience with infrastructure as code, including Terraform, Ansible, or Helm
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 Logos' core values and principles