Mid-level DevOps, AI Platform Engineer

Dentsu World Services Brazil

. Implement, maintain, and monitor resources in Azure, AWS, and/or GCP cloud environments, following established standards and architectures .

Posted 10/7/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud environments such as Azure, AWS, and GCP, with a strong focus on Infrastructure as Code using Terraform or OpenTofu. Proficient in CI/CD pipeline creation and maintenance, containerization with Docker, and observability practices to ensure optimal performance and efficiency of AI resources.

Highest-signal resume keywords

Cloud Environment ManagementInfrastructure as Code (IaC)CI/CD Pipeline DevelopmentContainerization with DockerScripting with Bash, PowerShell, Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AzureAWSGCPTerraformOpenTofuDockerKubernetesGitHub ActionsLinuxScripting

Soft Skills

Strong Communication SkillsCollaborativeCuriousProblem-SolvingAbility to Manage Multiple Demands

Tools & Technologies

CI/CD PipelinesObservability ToolsAPI GatewayDatadogNew Relic

Industry Keywords

AI ServicesDevOpsTechnical DocumentationObservabilityAI Applications

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesLinuxOpen SourcePythonTerraformGo

About the role

Key responsibilities & impact

Implement, maintain, and monitor resources in Azure, AWS, and/or GCP cloud environments, following established standards and architectures
Work with Infrastructure as Code (IaC) using Terraform or OpenTofu
Support the maintenance of AI-related resources and services, including model catalogs, documentation, APIs, and versioning
Contribute to initiatives focused on efficiency and optimization in the use of AI resources
Create, maintain, and enhance CI/CD pipelines using GitHub Actions, with a focus on reusable, scalable workflows and quality best practices
Create and maintain Docker images and repositories, ensuring secure, lean, and optimized environments
Support environments using container and orchestration technologies such as Docker, Kubernetes, and Helm
Use observability practices and tools to monitor platform and application health, as well as relevant metrics
Provide initial technical support to developers, AI teams, and internal users, helping resolve issues and answer questions
Automate environment maintenance and management tasks using Bash, PowerShell, Python, and/or Go
Contribute to technical documentation and the ongoing development of the team’s knowledge base
Communicate updates, releases, changes, and incidents clearly to technical and non-technical audiences
Understand user requests and reported issues, identifying technical needs before proposing solutions or escalating matters

Requirements

What you’ll need

Hands-on experience with at least one major cloud provider: Azure, AWS, or GCP
Knowledge of administering cloud resources such as networking, compute, databases, and identity and access management
Knowledge of Infrastructure as Code, preferably Terraform or OpenTofu
Knowledge of Docker and container concepts
Familiarity with Kubernetes and/or Helm
Knowledge of CI/CD pipelines
Experience with or familiarity with GitHub Actions
Strong proficiency in Linux environments, including shell usage, package installation and updates, permissions/ACLs, and basic system configuration
Knowledge of scripting or programming using Bash, PowerShell, Python, and/or Go
Understanding of DevOps concepts and best practices throughout the development lifecycle
Familiarity with monitoring and observability concepts
Ability to investigate issues, understand requirements, and propose solutions in a structured manner
Strong written and verbal communication skills, including technical documentation and concise updates
Collaborative, curious, and eager to learn new technologies
Ability to manage multiple demands in parallel
Advanced English proficiency, with confidence participating in meetings, technical discussions, and presentations in an international environment
Experience with cloud AI services such as Azure AI Foundry, AWS Bedrock, or Google Vertex AI is a plus
Knowledge of AI-based applications and concepts such as RAG, LLMs, and token optimization is a plus
Experience using AI tools to improve development productivity, such as GitHub Copilot, Claude Code, or Antigravity, is a plus
More advanced experience with GitHub Actions, including composite actions, custom actions, Docker-based actions, and reusable workflows, is a plus
Experience with services such as API Gateway, CDN/Edge, managed Kubernetes, Entra ID, IAM, or SSO is a plus
Experience with observability tools such as Datadog, New Relic, or open-source stacks is a plus
Familiarity with observability tools specifically designed for AI applications is a plus
Experience working with global and multicultural teams is a plus

Benefits

Comp & perks

Collaborative environment built on respect and trust
Global projects and multicultural teams
All the equipment you need to do your job, including a laptop and peripherals
Health and dental insurance
Life insurance
Mental health program
Anywhere Office — flexibility to work from wherever you need
Meal and food allowance (Flash benefits card)
Home office allowance (Flash benefits card)
Mobility allowance (Flash benefits card)
Mentoring program for professional development and career support
Participation in development tracks, including an allowance for courses and other learning opportunities, plus access to our free platform with a wide range of self-paced courses
One-on-one English lessons with a private instructor
Awesomeness Committee — themed and exclusive gifts
Gympass
Flexible schedule (40 hours per week)
100% remote or hybrid work — your choice!
Day off on your birthday
Appreciation — recognition program with the opportunity to give and receive “dentsu dollars” monthly