Kubernetes Benchmarking & Reliability Engineer

iftother

United States

Remote

USD 120,000 - 170,000

Full time

14 days+

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Job summary

iftother is seeking a skilled Systems Engineer to evaluate performance and reliability of large-scale distributed experiments. You will build and tune benchmark infrastructure, automate test workflows, observe system behavior, and translate findings into actionable guidance with researchers and engineers.

You will configure Kubernetes clusters for massive experiments, optimize scalability, and set up Grafana/Prometheus/Loki based observability.

Qualifications

Frontier-level Kubernetes expertise in production or research environments.
Strong knowledge of cloud, Linux, and networking for distributed/peer-to-peer systems.
Familiarity with monitoring and logging stacks.
Experience with infrastructure-as-code tools such as Terraform, Ansible, or Helm.
Python or another scripting language proficiency.
Excellent written and spoken communication; ability to work with researchers and engineers.

Responsibilities

Configure and optimize Kubernetes clusters for large-scale experiments and benchmarks.
Improve cluster scalability and resource use as test scenarios grow.
Set up and maintain monitoring/logging/observability (Grafana/Prometheus/Loki).
Collaborate with researchers and engineers to simplify experiments, analysis, and reproducibility.
Automate infrastructure and deployment workflows to boost reliability and reduce manual work.
Profile workloads, troubleshoot distributed systems, and coordinate with development teams.