DevOps Engineer, Vac DST

Institute of Free Technology

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

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 distributed systems, with a strong focus on automation, monitoring, and performance benchmarking. Proficient in cloud infrastructure and scripting, with a commitment to collaboration and reproducibility in experimental workflows.

Highest-signal resume keywords

Kubernetes ExpertiseCloud Infrastructure KnowledgeMonitoring Tools ProficiencyInfrastructure As Code ExperienceDistributed Systems Understanding

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 OrchestrationPythonTerraformAnsibleHelmPerformance BenchmarkingScalability TestingSystems ProgrammingP2P Technologies

Soft Skills

Excellent Communication Skills

Tools & Technologies

GrafanaPrometheusLokiVictoriaLogs

Industry Keywords

Distributed SystemsP2P NetworksBlockchain TechnologiesOpen Source ContributionsLogos Collective

Tech Stack

Tools & technologies

AnsibleCloudDistributed SystemsGrafanaKubernetesLinuxOpen SourcePrometheusPythonTerraform

About the role

Key responsibilities & impact

Design, configure, and optimize Kubernetes clusters for large-scale experiments and benchmarks of P2P technologies
Improve cluster scalability and resource utilization for increasingly complex deployments and experiments
Set up, maintain, and optimize monitoring, logging, and observability infrastructure such as 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, automate test scenarios, and provide actionable insights into system behavior

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 relevant to 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 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