Devops /Platform Enginee

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a DevOps / Platform Engineer in Brazil.

This role is focused on building and operating the foundational cloud, CI/CD, and platform infrastructure that powers large-scale digital and AI-driven systems within a global, regulated environment. You will design robust, scalable, and secure cloud-agnostic architectures across AWS, Azure, and GCP, enabling engineering teams to deliver software and AI solutions efficiently. A key part of your mission is to develop MLOps capabilities, supporting the full lifecycle of machine learning models from training to production monitoring. You will also play a central role in improving developer experience by building internal platforms, automation workflows, and self-service infrastructure. Working in a highly collaborative international environment, you will help define standards for reliability, observability, and security at scale. This is a high-impact role combining DevOps, platform engineering, and AI infrastructure in a complex enterprise setting.

• Design, build, and maintain end-to-end CI/CD pipelines for applications, infrastructure, data workflows, and AI/ML models with automated testing and security gates.
• Develop and operate cloud-agnostic infrastructure across AWS, Azure, and GCP using Infrastructure as Code tools such as Terraform or equivalent.
• Manage Kubernetes-based environments for scalable workloads, including AI model serving and containerized applications.
• Build and support MLOps infrastructure including model training environments, deployment pipelines, registries, and monitoring systems.
• Implement robust observability solutions (metrics, logs, traces) and ensure full system visibility across services and AI workloads.
• Design secure infrastructure with strong IAM, secrets management, network policies, and compliance with industry regulations (SOC 2, ISO 27001, GDPR).
• Improve developer experience by building internal platforms, self-service tools, and automation workflows.
• Support reliability engineering through SLOs, incident management, disaster recovery planning, and chaos engineering practices.
• Collaborate with engineering and product teams to ensure scalable, efficient, and secure delivery pipelines.

Requirements:

• 6+ years of experience in DevOps, SRE, or Platform Engineering roles, including hands-on work with production systems.
• Strong experience with Infrastructure as Code tools such as Terraform, Pulumi, or CloudFormation.
• Proven experience managing Kubernetes environments (EKS, AKS, or GKE) including deployment, scaling, and troubleshooting.
• Deep knowledge of CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
• Hands-on experience with at least two major cloud providers (AWS, Azure, GCP).
• Strong scripting and automation skills (Python, Bash, or similar), plus familiarity with Go or TypeScript.
• Experience building observability stacks using tools like Prometheus, Grafana, Datadog, ELK, or OpenTelemetry.
• Strong understanding of cloud security, IAM, networking, and compliance best practices.
• Experience with GitOps workflows (ArgoCD, Flux, or equivalent).
• Exposure to MLOps concepts such as model serving, MLflow, or GPU-based infrastructure is highly valued.
• Strong communication skills, fluency in English, and experience working in international teams.
• Ability to mentor engineers and contribute as a technical leader is a strong plus.

Benefits:

• Competitive compensation aligned with international market standards.
• Remote-first work environment based in Brazil.
• Opportunity to work on cutting-edge AI, cloud, and platform engineering challenges.
• Exposure to global enterprise projects in a highly regulated industry.
• Flexible collaboration with international, multicultural teams.
• Professional growth through complex, high-impact infrastructure initiatives.
• Learning and development opportunities in DevOps, AI infrastructure, and cloud technologies.