Mid-level DevOps & AI Platform Engineer

<h3>Accountabilities:</h3><li>Implement, maintain, and monitor cloud resources across Azure, AWS, and/or GCP, following established architectures, standards, and security practices.</li><li>Develop and maintain Infrastructure as Code using Terraform or OpenTofu to create reliable, repeatable, and scalable environments.</li><li>Support AI-related cloud services and resources, including model catalogs, APIs, documentation, versioning, and associated platform components.</li><li>Contribute to initiatives that improve the efficiency, performance, and cost-effectiveness of AI resource usage.</li><li>Build, maintain, and improve CI/CD pipelines using GitHub Actions, with a focus on reusable, scalable, and high-quality workflows.</li><li>Create and maintain secure, lightweight, and optimized Docker images and repositories.</li><li>Support containerized environments using Docker, Kubernetes, Helm, and related technologies.</li><li>Implement and use monitoring and observability practices to track platform health, application performance, and relevant operational indicators.</li><li>Provide first-level technical support to developers, AI teams, and internal users, helping investigate and resolve infrastructure, cloud, and platform issues.</li><li>Automate maintenance and environment-management activities using Bash, PowerShell, Python, and/or Go.</li><li>Contribute to technical documentation and continuously improve the team’s knowledge base.</li><li>Communicate releases, platform changes, updates, and incidents clearly to both technical and non-technical audiences.</li><li>Understand user needs and technical requirements, investigate reported issues, and determine appropriate solutions or escalation paths.</li><li>Collaborate with globally distributed and multicultural teams across different projects and technical environments.</li><h2>Requirements:</h2><li>Practical experience with at least one major cloud provider, such as Azure, AWS, or GCP.</li><li>Knowledge of administering cloud resources, including networking, compute, databases, and identity and access management.</li><li>Experience or solid familiarity with Infrastructure as Code, preferably Terraform or OpenTofu.</li><li>Working knowledge of Docker and containerization concepts.</li><li>Familiarity with Kubernetes and/or Helm.</li><li>Understanding of CI/CD pipelines and modern DevOps practices throughout the software development lifecycle.</li><li>Experience with or familiarity with GitHub Actions.</li><li>Good working knowledge of Linux, including shell usage, package installation and updates, permissions/ACLs, and basic system configuration.</li><li>Scripting or programming experience with Bash, PowerShell, Python, and/or Go.</li><li>Familiarity with monitoring and observability concepts and practices.</li><li>Strong troubleshooting and problem-solving abilities, with the capacity to understand requirements and propose structured technical solutions.</li><li>Strong written and verbal communication skills, including the ability to create clear technical documentation and concise updates.</li><li>Collaborative, curious, proactive mindset with a willingness to learn and adopt new technologies.</li><li>Ability to manage multiple priorities and work effectively across concurrent demands.</li><li>Advanced English proficiency, with confidence participating in meetings, technical discussions, and presentations in an international environment.</li><li>Experience with cloud-based AI services such as Azure AI Foundry, AWS Bedrock, or Google Vertex AI is a strong advantage.</li><li>Knowledge of AI-powered applications and concepts such as RAG, LLMs, and token optimization is desirable.</li><li>Experience using AI-powered developer productivity tools such as GitHub Copilot, Claude Code, or similar solutions is a plus.</li><li>Deeper GitHub Actions expertise, including composite actions, custom actions, Docker-based actions, and reusable workflows, is advantageous.</li><li>Experience with services such as API Gateway, CDN/Edge, managed Kubernetes, Entra ID, IAM, or SSO is beneficial.</li><li>Familiarity with observability platforms such as Datadog, New Relic, or open-source observability stacks is a plus.</li><li>Experience with observability solutions specifically designed for AI applications is advantageous.</li><li>Previous experience working with global and multicultural teams is highly valued.</li><h2>Benefits:</h2><li>Fully remote work, with the option to work from a flexible location in Brazil.</li><li>Hybrid work may also be available depending on preference and circumstances.</li><li>Flexible working hours within a 40-hour work week.</li><li>Comprehensive health and dental insurance.</li><li>Life insurance.</li><li>Mental health support program.</li><li>VR/VA benefits through a Flash benefits card.</li><li>Home-office allowance.</li><li>Mobility allowance.</li><li>Company-provided laptop and peripherals.</li><li>Professional mentorship and career-development programs.</li><li>Access to development tracks with financial support for courses and professional learning.</li><li>Access to a free learning platform with a broad range of self-paced courses.</li><li>Private English lessons with an instructor.</li><li>Gympass membership.</li><li>Birthday day off.</li><li>Employee recognition program with opportunities to give and receive monthly recognition credits.</li><li>Themed gifts and perks through an employee engagement committee.</li><li>Opportunity to work on global projects alongside multicultural teams.</li><li>Collaborative environment built around trust, respect, knowledge sharing, and continuous learning.</li>