Cloud Infrastructure Engineer (AI)

TL;DR

Cloud Infrastructure Engineer II (AI): Designing, building, and operating core compute and business-critical infrastructure services in a multi-cloud environment with an accent on secure, cost-efficient infrastructure and repeatable provisioning. Focus on microservice-based systems, driving reliability improvements, and reducing technical debt through automation.

Location: Remote from Canada or the USA

Salary: $148,800–$175,000 USD

Company

hirify.global safeguards the world’s largest enterprises from cybercrime with its novel, behavior-based AI email security solution.

What you will do

• Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in a multi-cloud environment (AWS and Azure).
• Develop, evolve, and operate infrastructure as code to support repeatable, auditable, and scalable system provisioning.
• Drive design collaboration by participating in technical discussions and providing constructive reviews.
• Partner closely with product and application engineering teams to understand platform needs and deliver well-designed, developer-friendly infrastructure abstractions.
• Participate in an on-call rotation, gaining insight into customer pain points, identifying systemic gaps, and driving long-term reliability improvements.
• Drive down technical debt and operational toil by addressing root causes and automating repetitive work.

Requirements

• Bachelor’s degree in Computer Science or a related technical field.
• 4+ years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments.
• 2+ years of experience with Python.
• 1+ year of experience with Kubernetes and Helm.
• 1+ year of experience with AWS and Terraform/HCL.
• Experience with on-call rotations, incident response, and operating production-grade systems.
• Practical experience using Generative AI tools in day-to-day engineering workflows.

Nice to have

• Experience with Bash, Golang, and Terragrunt.
• Familiarity with Generative AI tools such as Cursor and Claude, and experience driving AI-first workflows and solutions.
• Prior experience building large-scale infrastructure-as-code abstractions.
• AWS certifications.

Culture & Benefits

• Consistently recognized as one of the top cybersecurity startups.
• Work in a remote-first environment, balancing autonomy with collaboration.
• Participate in an on-call rotation with a learning-oriented mindset.
• Compensation package includes bonus, restricted stock units (RSUs), and benefits.
• Opportunity to work on a scalable, reliable infrastructure foundation critical to powering the next phase of growth in identity security.