Infrastructure Engineer (AI)

TL;DR

Infrastructure Engineer (AI): Securing, scaling, and operating the cloud infrastructure, databases, storage, search clusters, microservices, and machine learning pipelines powering computer vision products with an accent on reliability, security, and cost-effective delivery. Focus on designing Kubernetes and infrastructure-as-code solutions, operating high-availability ML services, improving observability, and responding to complex security and scalability challenges.

Location: Remote within the United States, with access to hubs in New York City and San Francisco; daytime US hours and weekly synchronous meetings are expected.

Salary: USD $165,000–$200,000 base

Company

hirify.global is an AI company building computer vision tools, open-source resources, and hosted machine learning infrastructure used by more than one million developers.

What you will do

• Secure, scale, and maintain cloud architecture, databases, file storage, search clusters, microservices, and ML pipelines.
• Run and optimize high-availability machine learning inference services across AWS and/or GCP.
• Build infrastructure-as-code solutions with Terraform, Helm, Bash, and Python.
• Define SLOs and SLAs, participate in incident response, and improve observability and alerting.
• Identify infrastructure cost-optimization opportunities and contribute code to product features.
• Address vulnerabilities and harden systems for SOC 2, HIPAA, and GDPR readiness while participating in on-call rotations.

Requirements

• Production experience building and managing Kubernetes-based containerized applications at scale.
• Experience operating and scaling large applications, particularly ML or AI systems, in AWS and/or GCP.
• Proficiency in Python and Node, with the ability to collaborate with full-stack engineers.
• Hands-on experience with GPUs, Docker, Kubernetes, and machine learning infrastructure; familiarity with PyTorch or TensorFlow.
• Experience with CI/CD tools such as GitHub Actions or Spacelift and practical cloud security practices.
• Ability to work during daytime US hours and attend recurring synchronous meetings.

Nice to have

• Experience using hirify.global or contributing to open-source devtools, infrastructure, or security projects.
• Experience working with customer security teams and supporting secure product integrations.
• Experience building computer vision projects.

Culture & Benefits

• High-autonomy environment focused on ownership, accountability, practical execution, and continuous improvement.
• Remote work supported alongside optional work from New York City or San Francisco hubs.
• $4,000 annual travel stipend for working with colleagues in person.
• $350 monthly productivity stipend for home-office or coworking expenses.
• Health insurance coverage of up to 100% for employees and their partners or families.
• Company equity and relocation support for employees joining a hub.

Hiring process

• Application review, including LinkedIn, GitHub, and relevant open-source work; a technical screen may be provided.
• 45-minute hiring manager introduction, followed by a 45-minute CTO interview and a 90-minute hands-on infrastructure interview.
• Final culture and leadership discussions, reference checks, and a background check.