Systems Engineer / DevOps (AI)

TL;DR

Systems Engineer / DevOps (DevOps/Infrastructure): Managing and automating hybrid infrastructure consisting of proprietary GPU data centers and AWS to support high-scale AI SaaS offerings with an accent on reliability, automation, and infrastructure security. Focus on automating operational processes, optimizing developer workflows, and maintaining large-scale server environments.

Location: Onsite in San Francisco

Salary: $120,000 - $180,000

Company

hirify.global is a leading provider of cloud-based AI solutions empowering organizations to understand, search, and generate content through best-in-class pre-trained models.

What you will do

• Automate manual operational processes and improve workflows for developer, data, and machine learning teams.
• Manage integration and deployment tooling and CI/CD pipelines.
• Create, maintain, monitor, secure, and audit infrastructure across hybrid environments (AWS and proprietary data centers).
• Participate in on-call rotations and conduct root cause analysis for system failures.
• Implement security best practices and utilize OWASP top 10 techniques to secure code and infrastructure.
• Manage a diverse array of technology platforms adhering to strict protection policies for information assets.

Requirements

• 1-2 years of previous experience in development, operations, IT, or a related field.
• Proficiency working with Linux infrastructures (Debian) via the CLI.
• Must be based in San Francisco and able to physically lift equipment (at least 30 pounds).
• Ability to multitask, prioritize, and manage time efficiently in a fast-paced environment.
• Strong communication skills across different teams and management levels.

Nice to have

• Degree in Computer Science or a similar field.

Culture & Benefits

• Opportunity to contribute to one of the fastest-growing AI startups in San Francisco.
• High-impact role with a steep learning curve and direct influence on company development.
• Competitive base salary and potential stock options.
• Dynamic environment working with cutting-edge GPU resources and large-scale AI models.