Senior Platform Engineer (Kubernetes)

TL;DR

Senior Platform Engineer (Kubernetes): Building and maturing enterprise-grade deployment artifacts for self-hosted AI development environments with an accent on Terraform modules, Helm charts, and hardened container images. Focus on improving upgrade reliability, designing reference architectures, and ensuring seamless operations for large-scale enterprise customers.

Location: Must be based in NAMER or EMEA regions

Salary: $156,000 – $230,000 (USD equivalent based on location)

Company

hirify.global is an AI software development company building autonomous coding agents and secure, self-hosted AI development environments for the enterprise.

What you will do

• Harden and maintain container images for compliance-driven distribution.
• Build and mature Terraform modules and Helm charts for customer deployments.
• Own and evolve reference architectures for enterprise environments.
• Improve the platform upgrade experience to be more seamless and predictable.
• Contribute to architecture decisions and collaborate across engineering teams.
• Mentor engineers and maintain high standards for code quality and security.

Requirements

• 5+ years of experience in infrastructure or platform engineering.
• Hands-on experience with Terraform, Helm, and container images.
• Proven record of shipping infrastructure for large enterprise customers.
• Strong technical depth in Linux, Kubernetes, and Infrastructure as Code.
• Experience with at least one major public cloud: AWS, GCP, or Azure.
• Solid understanding of IP networking, HTTP fundamentals, and distributed systems.

Nice to have

• Experience with compliance-driven or hardened image work.
• Prior work on developer tooling.
• Public open source contributions.
• Experience designing reference architectures for enterprise infrastructure.

Culture & Benefits

• Transparent and consistent interview process.
• Equity and bonus packages included.
• Commitment to equal employment opportunity.
• Supportive environment for AI-driven development workflows.

Hiring process

• Transparent process expected to take two to four weeks.
• Interviews with individual contributors, managers, and senior leaders.
• Take-home assessments allow AI tool usage with honest disclosure.