Staff Platform Engineer: Self-Service Cloud Automation

Webhosting; Northern (KY); Hybrid; USD 145,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Professional development

PTO & holidays

Sabbatical program

Remote office stipend

Internet reimbursement

Gym membership

Wellable subscription

Job summary

Vultr is seeking a Staff Platform Engineer to build and drive internal platform automation capabilities and deliver self-service solutions that accelerate engineering teams. The ideal candidate brings expert-level PHP experience, strong Go or Python proficiency, deep Linux systems expertise, and a track record of shipping self-service platform solutions that move faster with less friction.

This highly visible role requires working across the stack—designing, implementing, and operating the

Qualifications

• Expert-level PHP experience.
• Proficiency in Go or Python.
• Deep Linux systems expertise.
• Track record of shipping self-service platform solutions.

Responsibilities

• Define and drive Vultr's platform automation philosophy.
• Design and evolve platform architecture, setting patterns for integration and maintainability.
• Architect and deliver self-service solutions that accelerate engineering teams.
• Address organization-wide platform challenges with systems thinking and architectural rigor.
• Anticipate scaling, reliability, and usability needs before incidents occur.
• Drive platform adoption through documentation, training, and cross-team communication.

Skills

PHP expertise

Go

Python

Linux systems

Self-service platforms

Job description

Vultr is seeking a Staff Platform Engineer to build and drive internal platform automation capabilities and deliver self-service solutions that accelerate engineering teams. The ideal candidate brings expert-level PHP experience, strong Go or Python proficiency, deep Linux systems expertise, and a track record of shipping self-service platform solutions that move faster with less friction.

This highly visible role requires working across the stack—designing, implementing, and operating the