Cloud DevOps Engineer

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. Benefits: 100% remote-first culture across Latin America. Paid time off (PTO) and U.S. holidays. Solid AI training and certification opportunities. Mentored career development and profit sharing. Competitive remuneration in USD and maternity coverage.