Cloud DevOps Engineer

Azumo

. Own production infrastructure for AI systems, including clusters, deployment pipelines, and monitoring .

Posted 9/25/2026full-timeRemote • Argentina, Brazil, Uruguay, Chile, ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing production infrastructure for AI systems, including Kubernetes, CI/CD pipelines, and infrastructure as code with Terraform. Proficient in security hardening, cost management, and incident response within compliance frameworks such as SOC 2 and HIPAA.

Highest-signal resume keywords

Production Kubernetes ExperienceInfrastructure As Code Using TerraformCI/CD Pipeline Development Using GitHub ActionsMonitoring And Incident Response Using DatadogCloud Deployment Experience On AWS, Azure Or GCP

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Linux AdministrationNetworkingScripting In BashPythonGoInfrastructure Cost ManagementSecurity Hardening Of Linux And KubernetesContainer Image ManagementService Mesh ExperienceDatabase Operations With PostgreSQL

Soft Skills

Clear Written And Spoken EnglishAbility To Explain Technical Trade-Offs

Tools & Technologies

TerraformGitHub ActionsDatadogCloudWatchAI-Assisted Coding ToolsKubernetesHelmKustomizeAWSAzure

Certifications & Qualifications

Cloud Certifications

Industry Keywords

SOC 2HIPAAAI WorkloadsInfrastructure DriftIncident ResponseCost ProfilesTraffic ManagementReproducible InfrastructureChange ProcessesClient Environments

Tech Stack

Tools & technologies

AWSAzureCloudDynamoDBGoogle Cloud PlatformKubernetesLinuxMongoDBPostgresPythonTerraformGo

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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