DevOps Engineer (AI & Enterprise Platform)

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.