Cloud DevOps Engineer

• Own production infrastructure for AI systems, including clusters, deployment pipelines, and monitoring
• Provision, upgrade, network, and configure production Kubernetes clusters
• Build reproducible infrastructure as code with Terraform or equivalent and detect infrastructure drift
• Build and maintain reliable CI/CD pipelines and standardized container image workflows
• Implement monitoring and alerting, investigate incidents, determine root causes, and make preventive changes
• Provide infrastructure for AI workloads, including inference services and their scaling and cost profiles
• Analyze infrastructure costs and capacity needs, including projected costs at higher traffic levels
• Secure Linux, Kubernetes, containers, and service meshes, including secrets, access, and audit trails
• Develop internal tooling and documentation and support developers and QA during release cycles
• Work within client environments, repositories, cloud accounts, and change processes when required
• Operate within Azumo's SOC 2-certified environment and accommodate engagement requirements such as HIPAA
• Use AI-assisted engineering tools and automated codebase audits to assess security, cost, and architecture findings

• 5+ years as a DevOps, SRE or systems engineer running production infrastructure
• Linux administration, networking, Git, and scripting in Bash plus Python or Go
• Production Kubernetes experience, including provisioning, upgrading and debugging clusters
• Infrastructure as code using Terraform or equivalent, including state, modules and environment parity
• Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab or equivalent
• Responsibility for container images
• Cloud deployment experience on AWS, Azure or GCP, including managed Kubernetes services and associated cost models
• Monitoring and incident response experience using Datadog, CloudWatch or equivalent
• Experience taking incidents from alert through root cause analysis to preventive changes
• Security hardening of Linux, containers and Kubernetes
• Infrastructure cost and capacity management experience
• Active use of AI-assisted coding tools such as Claude Code, Cursor, or GitHub Copilot in delivery work
• Clear written and spoken English at C1 or above
• Ability to explain technical trade-offs directly to a client
• Bachelor's degree in Computer Science, a related field, or equivalent professional experience
• Preferred: service mesh and traffic management experience with Istio, Linkerd or equivalent
• Preferred: Helm, Kustomize or equivalent templating and environment configuration
• Preferred: production-scale database operations with PostgreSQL, MongoDB, RDS, DynamoDB or equivalent
• Preferred: running or scaling inference workloads and evaluating cost and latency trade-offs against hosted APIs
• Preferred: delivery under compliance regimes such as SOC 2 or HIPAA
• Preferred: cloud certifications, open-source infrastructure contributions, or published technical writing

• 100% remote-first culture (work anywhere in Latin America)
• Paid time off (PTO)
• U.S. Holidays
• Solid AI Training and certification
• Mentored career development
• Profit sharing
• $US remuneration
• Maternity coverage