DevOps Engineer (AI & Enterprise Platform)

Ladfah; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Remote work worldwide

Job summary

Ladfah is looking for an engineer to build and operate the infrastructure and delivery systems behind an AI-enabled enterprise platform. You will own cloud environments, automation pipelines, deployment playbooks, and production reliability, collaborating with software and AI/ML teams to deliver secure, scalable services for global customers.

This role requires hands-on cloud administration, infrastructure as code, CI/CD automation, and scripting.

Qualifications

• Hands-on experience with cloud infrastructure and production administration.
• Experience with infrastructure as code, CI/CD automation, and scripting.
• Working knowledge of security controls, secrets management, identity, networking, and monitoring.

Responsibilities

• Design, maintain, and improve cloud infrastructure and deployment environments.
• Build and operate CI/CD pipelines that make software releases reliable and repeatable.
• Automate infrastructure and operational tasks using code and scripting.
• Monitor production services, investigate incidents, and improve availability and performance.
• Apply sound practices for identity, networking, secrets, and security across platform systems.
• Collaborate with software and AI/ML teams on deployment and operational needs.

Skills

Cloud infrastructure

CI/CD automation

Scripting

Security controls

Monitoring

Job description

Role overview

Build and operate the infrastructure and delivery systems behind an AI-enabled enterprise platform. The role covers cloud environments, automation, deployment pipelines, and production reliability, while working with engineering teams to support secure and scalable services.

Responsibilities

• Design, maintain, and improve cloud infrastructure and deployment environments.
• Build and operate CI/CD pipelines that make software releases reliable and repeatable.
• Automate infrastructure and operational tasks using code and scripting.
• Monitor production services, investigate incidents, and improve availability and performance.
• Apply sound practices for identity, networking, secrets, and security across platform systems.
• Collaborate with software and AI/ML teams on deployment and operational needs.

Requirements

• Hands-on experience with cloud infrastructure and production administration.
• Experience with infrastructure as code, CI/CD automation, and scripting.
• Working knowledge of security controls, secrets management, identity, networking, and monitoring.
• Ability to work independently and collaborate across a fully remote engineering team.

Nice to have

• Experience supporting AI/ML operations or enterprise platform architecture.

Benefits and work setup

• Remote work available worldwide, with flexible hours.
• Work across cloud infrastructure, automation, AI/ML operations, and platform architecture.
• Opportunity to influence platform reliability and scalability.