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Metro mid-level DevOps role at a known SaaS firm with broad skills, so moderate competition.
Core DevOps skills transferable, but LLM/MLOps and enterprise governance needs increase role specificity.
Explicit 3+ years plus mandatory cloud, IaC, Kubernetes, and MLOps requirements make shortlisting strict.
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Build and operate Five9's AI platform on cloud infrastructure, ensuring it is secure, reliable, and production-grade for AI solutions to run.
Develop and maintain infrastructure as code, CI/CD pipelines with security gates, model serving runtime, data pipelines, and security/governance guardrails.
Provide reusable components, observability, incident response, and collaborate with AI Automation Engineers and architects to meet platform needs.
Bachelor's degree or equivalent in Computer Science, Engineering, or related field.
3+ years experience in platform, DevOps, infrastructure, or MLOps engineering with hands-on production cloud systems operation.
Proficiency in Google Cloud (preferred), Terraform, Docker, Kubernetes, CI/CD pipeline engineering, and running ML/LLM production systems.
Strong fundamentals in security engineering (IAM, secrets, policy-as-code) and observability practices (monitoring, logging, SLOs).
Experienced in building and operating AI or ML platforms supporting production workloads in cloud environments, especially Google Cloud.
Skilled in infrastructure-as-code, container orchestration, and end-to-end delivery pipelines with secure, reliable operations and governance.
Able to partner with architects, InfoSec, and multidisciplinary teams to implement scalable, governed, and reusable AI infrastructure components.