Mid-level DevOps, AI Platform Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

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

• Work with Infrastructure as Code (IaC) using Terraform or OpenTofu.

• Support the upkeep of AI-related resources and services, which includes model catalogs, documentation, APIs, and versioning.

• Contribute to initiatives aimed at enhancing efficiency and optimization in the utilization of AI resources.

• Develop, maintain, and improve CI/CD pipelines using GitHub Actions, focusing on reusable, scalable workflows and quality best practices.

• Create and manage Docker images and repositories, ensuring secure, efficient, and optimized environments.

• Support environments utilizing container and orchestration technologies such as Docker, Kubernetes, and Helm.

• Employ observability practices and tools to monitor the health of platforms and applications, as well as relevant metrics.

• Provide initial technical support to developers, AI teams, and internal users, assisting in issue resolution and answering queries.

• 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.

• Clearly communicate updates, releases, changes, and incidents to both 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 managing cloud resources, including networking, compute, databases, and identity and access management.

• Familiarity with Infrastructure as Code, preferably Terraform or OpenTofu.

• Understanding of Docker and container concepts.

• Experience with Kubernetes and/or Helm.

• Knowledge of CI/CD pipelines.

• Experience or familiarity with GitHub Actions.

• Strong proficiency in Linux environments, encompassing shell usage, package installation and updates, permissions/ACLs, and basic system configuration.

• Proficiency in scripting or programming using Bash, PowerShell, Python, and/or Go.

• Understanding of DevOps concepts and best practices throughout the software development lifecycle.

• Familiarity with monitoring and observability concepts.

• Ability to investigate issues, comprehend requirements, and propose structured solutions.

• Excellent written and verbal communication skills, including technical documentation and concise updates.

• A collaborative mindset, curiosity, and eagerness to learn new technologies.

• Capability to manage multiple demands simultaneously.

• Advanced English proficiency, with confidence in participating in meetings, technical discussions, and presentations in an international context.

• 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 boost 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 like 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 tailored 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 necessary equipment provided, including a laptop and peripherals.

• Health and dental insurance.

• Life insurance.

• Mental health program.

• Anywhere Office — flexibility to work from any location.

• 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 offering 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 opportunities to give and receive “dentsu dollars” monthly.