Mid-level DevOps, AI Platform Engineer

• 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

• 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

• 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