DevOps Engineer: Scale Kubernetes & Observability

Institute of Free Technology; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Institute of Free Technology is seeking a Distributed Systems Engineer to evaluate performance and reliability of IFT projects at scale. You will optimize Kubernetes clusters for large-scale P2P experiments, automate infrastructure, and maintain Grafana/Prometheus observability stacks.

Candidate should have strong Kubernetes, cloud infrastructure, and Linux experience, plus Python and IaC tooling skills and a solid understanding of distributed systems, P2P, and blockchain concepts.

Qualifications

• Experience with Kubernetes, cloud infra, and Linux systems.
• Proficiency in Python and IaC tooling.
• Understanding of distributed systems, P2P, and blockchain concepts.

Responsibilities

• Evaluate performance and reliability of IFT projects at scale.
• Optimize Kubernetes clusters for large-scale P2P experiments and benchmarks.
• Automate infrastructure and maintain observability stacks like Grafana and Prometheus.

Skills

Kubernetes

Cloud infrastructure

Linux

Python

Infrastructure as code

Distributed systems

P2P & blockchain basics

Tools

Grafana

Prometheus

Terraform

Ansible

Job description

Institute of Free Technology is seeking a Distributed Systems Engineer to evaluate performance and reliability of IFT projects at scale. You will optimize Kubernetes clusters for large-scale P2P experiments, automate infrastructure, and maintain Grafana/Prometheus observability stacks.

Candidate should have strong Kubernetes, cloud infrastructure, and Linux experience, plus Python and IaC tooling skills and a solid understanding of distributed systems, P2P, and blockchain concepts.