Cloud DevOps Engineer (AI)

Location: Remote across Latin America, aligned to the client's working day.

Company

hirify.global is a San Francisco-based software development company that builds and operates production AI systems and provides nearshore AI engineering teams.

What you will do

• Provision, upgrade, configure, and debug production Kubernetes clusters, including networking and workload configuration.
• Build reproducible infrastructure with Terraform or equivalent infrastructure-as-code tools and detect configuration drift.
• Develop and maintain CI/CD pipelines, container image workflows, and reliable production deployments.
• Operate monitoring and alerting, investigate incidents, identify root causes, and implement preventive changes.
• Support infrastructure for AI inference workloads, balancing scaling, latency, and operating costs.
• Harden Linux, Kubernetes, containers, and service meshes while supporting developers and QA with tooling and documentation.

Requirements

• 5+ years of experience as a DevOps, SRE, or systems engineer operating production infrastructure.
• Strong experience with Linux administration, networking, Git, Bash, and Python or Go.
• Production Kubernetes experience covering provisioning, upgrades, and troubleshooting.
• Hands-on experience with Terraform or equivalent, CI/CD platforms such as GitHub Actions or GitLab, and container images.
• Cloud deployment experience on AWS, Azure, or GCP, including managed Kubernetes services, monitoring, incident response, and infrastructure cost management.
• Clear written and spoken English at C1 level or above, with a bachelor's degree in Computer Science, a related field, or equivalent professional experience.

Nice to have

• Service mesh and traffic management experience with Istio, Linkerd, or equivalent tools.
• Helm, Kustomize, or equivalent environment templating experience.
• Production database operations with PostgreSQL, MongoDB, RDS, DynamoDB, or equivalent systems.
• Experience running or scaling inference workloads and evaluating hosted APIs against self-managed models.
• SOC 2 or HIPAA delivery experience, cloud certifications, open-source infrastructure contributions, or published technical writing.

Culture & Benefits

• 100% remote-first work anywhere in Latin America.
• Work aligned to client working hours and access to AI-assisted coding tools such as Claude Code, Codex, Cursor, and GitHub Copilot.
• Paid time off and U.S. holidays.
• AI training, certifications, and mentored career development.
• Profit sharing, U.S. dollar remuneration, and maternity coverage.