Description:

Own the infrastructure for production AI systems, including clusters, deployment pipelines, and monitoring.
Work on live systems, addressing issues such as downtime, cost management, and automation.

Requirements:

5+ years in DevOps, SRE, or systems engineering with experience in Linux, networking, Git, and scripting (Bash, Python/Go).
Proficient in Kubernetes, Terraform, CI/CD pipelines, and cloud deployment (AWS, Azure, GCP).
Experience with monitoring tools (Datadog, CloudWatch) and incident management.
Strong understanding of security hardening, infrastructure cost, and capacity management.
Active use of AI-assisted coding tools and excellent English communication skills (C1 or above).
Bachelor's degree in Computer Science or equivalent experience.

Skills

Benefits