DevOps Engineer

RevStar

. Architect, deploy, and manage scalable cloud and AI environments using ECS, EKS, Lambda, S3, API Gateway, or AI platform services .

Posted 10/20/2026contractRemote • Venezuela, Argentina, Mexico, Chile, Colombia, BrazilSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced expertise in architecting and managing scalable cloud and AI environments, with a strong focus on security, reliability, and cost-efficiency. Proficient in building automated CI/CD pipelines and implementing monitoring solutions across multi-cloud infrastructures.

Highest-signal resume keywords

Cloud And DevOps EngineeringTerraform ExpertiseAWS ECS/EKS Container OrchestrationAutomated CI/CD PipelinesCloud/AI Security Compliance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Cloud ArchitectureAI Environment ManagementInfrastructure As CodeAutomated ProvisioningServerless ArchitecturesContainerized WorkloadsPolicy-As-CodeIntegrated SAST/DASTCost-Optimization FrameworksWorkload Assessments

Soft Skills

Verbal CommunicationWritten CommunicationPresentation SkillsWorkshop FacilitationClient Engagement

Tools & Technologies

ECSEKSLambdaS3API GatewayGitHub ActionsAzure DevOpsCloud-Native ToolingMonitoring ToolsLogging Tools

Certifications & Qualifications

Cloud CertificationsDevOps CertificationsAI Certifications

Industry Keywords

Cloud Security BaselinesIAM Least-PrivilegeCompliance AutomationCost-EfficiencyRemote Work

Tech Stack

Tools & technologies

AWSAzureCloudTerraform

About the role

Key responsibilities & impact

Architect, deploy, and manage scalable cloud and AI environments using ECS, EKS, Lambda, S3, API Gateway, or AI platform services
Ensure cloud and AI infrastructure security, reliability, and cost-efficiency
Build automated CI/CD pipelines and version-controlled Infrastructure as Code using Terraform, GitHub, Azure DevOps, and cloud/AI tooling
Implement monitoring, logging, and alerting across multi-cloud and AI infrastructure environments
Optimize performance and prevent operational incidents
Lead discovery workshops
Demo solutions to enterprise client stakeholders
Gather technical requirements
Align cloud and AI strategies with business outcomes
Report to the DevOps Lead/Migrations Lead

Requirements

What you’ll need

7+ years in cloud and DevOps engineering
5+ years of experience across Anthropic, OpenAI, or AWS environments, serverless architectures, and containerized workloads
3+ years in consulting or client-facing roles
Experience independently leading workload assessments, architecting cloud adoption roadmaps, and driving client engagements with minimal oversight
Advanced expertise in Terraform
Experience with container orchestration such as AWS ECS/EKS or equivalent cloud container services
Expertise in automated provisioning
Mastery of secure, automated CI/CD pipelines using GitHub Actions, Azure DevOps, or cloud-native tooling
Experience with integrated SAST/DAST, policy-as-code, and automated testing
Deep experience with cloud/AI security baselines, IAM least-privilege, guardrails, compliance automation, and cost-optimization frameworks
Active professional-level Cloud, DevOps, or AI certifications strongly preferred
Superior verbal, written, and presentation skills
Ability to facilitate technical workshops and demo complex architectures to stakeholders
Ability to thrive in a 100% remote environment

Benefits

Comp & perks

Paid Time Off – Take the time you need to recharge and stay productive.
Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.
Remote-first culture