Site Reliability Engineer (Kubernetes)

Location: Remote within the U.S., with occasional travel for key customer workshops. U.S. citizenship is required for customer badging.

Salary: $140,000–$170,000 base salary annually, plus bonus and equity commensurate with experience.

Company

hirify.global is an AI software development platform that autonomously converts enterprise requirements into production-ready code.

What you will do

• Deploy, operate, and maintain the self-hosted platform in a secure customer-controlled cloud environment.
• Own Kubernetes deployments, releases, upgrades, capacity planning, and performance benchmarking for compute-intensive AI workloads.
• Design observability systems covering logging, metrics, tracing, alerting, and incident response within the customer security boundary.
• Partner with customer infrastructure, security, governance, and platform teams on provisioning, reviews, documentation, and escalations.
• Handle sensitive customer data according to security requirements and promote security best practices.
• Feed operational lessons into the product and infrastructure roadmap for future public sector deployments.

Requirements

• U.S. citizenship and ability to complete the customer background and badging process.
• 3+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering.
• Strong Kubernetes and container orchestration experience, including deployments in customer-controlled or restricted environments.
• Experience operating in isolated, restricted, or highly regulated environments such as defense, government, or financial services.
• Hands-on infrastructure-as-code experience with Terraform, Pulumi, or equivalent, plus at least one major cloud platform.
• Expertise in observability, incident management, on-call practices, and scripting with Python, Go, Bash, or similar tools.

Nice to have

• Experience with government-accredited or similarly certified cloud environments.
• Familiarity with sensitive data and security frameworks for regulated industries.
• Experience supporting AI/ML workloads or their infrastructure.
• Forward-deployed, residency, or embedded-engineer experience at an enterprise customer site.
• Experience in a high-growth startup environment.

Culture & Benefits

• Greenfield reliability work shaping the deployment playbook for government and defense customers.
• Direct influence on architecture and close collaboration with engineering, infrastructure, security, and customer teams.
• Fast-paced, innovation-focused environment with strong customer ownership.
• Bonus and equity are provided in addition to the base salary.
• Emphasis on sustainable performance through sleep, movement, and restorative activities.