Mid-level DevOps, AI Platform Engineer

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dentsu World Services Brazil

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

💼 Consulting

📱 Media

📣 Marketing

Consulting • Media • Marketing

Dentsu World Services Brazil is part of the global Dentsu Group, dedicated to helping brands grow and thrive through innovative and integrated solutions. The company leverages consumer intelligence and market insights to empower brands in effectively engaging and retaining their customers. With a focus on sustainable value creation and collaboration, Dentsu Brazil aims to simplify complexities in the marketing landscape, providing expert analysis and research that drives industry discussions.

📋 Description

• 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

• 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

• 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