This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a DevOps Engineer Sênior - Huawei Cloud | AI Deployer based in Brazil. Join a technology-driven engineering environment where cloud infrastructure, automation, and artificial intelligence converge to accelerate software delivery. As a Senior DevOps Engineer, you will design, automate, and maintain secure, scalable infrastructure across Huawei Cloud and Microsoft Azure. You will play a key role in building reliable CI/CD pipelines, orchestrating deployments, and implementing automated quality and security controls. Working with containerized applications and Kubernetes, you will ensure releases are stable, traceable, and recoverable when issues arise. You will also integrate AI-assisted engineering practices into deployment workflows, helping teams improve efficiency while maintaining strong operational standards. This opportunity is ideal for an experienced cloud and DevOps professional who enjoys solving complex infrastructure challenges and advancing modern, AI-first delivery practices. This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a DevOps Engineer Sênior - Huawei Cloud | AI Deployer based in Brazil. Join a technology-driven engineering environment where cloud infrastructure, automation, and artificial intelligence converge to accelerate software delivery. As a Senior DevOps Engineer, you will design, automate, and maintain secure, scalable infrastructure across Huawei Cloud and Microsoft Azure. You will play a key role in building reliable CI/CD pipelines, orchestrating deployments, and implementing automated quality and security controls. Working with containerized applications and Kubernetes, you will ensure releases are stable, traceable, and recoverable when issues arise. You will also integrate AI-assisted engineering practices into deployment workflows, helping teams improve efficiency while maintaining strong operational standards. This opportunity is ideal for an experienced cloud and DevOps professional who enjoys solving complex infrastructure challenges and advancing modern, AI-first delivery practices. Accountabilities: You will own critical aspects of cloud infrastructure management and continuous delivery, ensuring that applications can be deployed safely, consistently, and efficiently across multicloud environments. Your responsibilities will include: - Manage multicloud infrastructure: Provision, configure, and maintain cloud resources across Huawei Cloud and Microsoft Azure. - Administer Kubernetes environments: Manage clusters and containerized workloads using Huawei Cloud CCE and Azure Kubernetes Service (AKS). - Automate infrastructure provisioning: Implement and maintain Infrastructure as Code (IaC) using Terraform to ensure consistency, scalability, and repeatability. - Build and maintain CI/CD pipelines: Develop and optimize automated delivery workflows using Azure DevOps Pipelines and Huawei CodeArts. - Implement quality and security controls: Define and automate quality gates, security checks, and compliance validations throughout the deployment lifecycle. - Manage application releases: Coordinate deployment processes, release management, and production rollouts while maintaining reliability and traceability. - Develop rollback and recovery strategies: Implement mechanisms to reverse deployments, recover from failures, and minimize service disruption. - Automate environment configuration: Streamline infrastructure setup and configuration to improve operational efficiency and reduce manual intervention. - Establish observability: Configure logging, monitoring, alerting, and operational visibility to identify issues and maintain system health. - Manage cloud security: Implement identity and access management controls, permissions, and infrastructure security policies. - Support data and messaging services: Assist with provisioning and integration of databases and messaging infrastructure. - Integrate AI-assisted delivery: Incorporate AI-supported engineering and deployment workflows into CI/CD pipelines and broader delivery processes. - Improve operational performance: Identify opportunities to optimize automation, deployment reliability, infrastructure efficiency, and engineering workflows. Requirements: The ideal candidate is a senior DevOps professional with hands-on experience managing multicloud environments, particularly Huawei Cloud and Microsoft Azure. You should combine strong infrastructure automation and container orchestration skills with a solid understanding of secure software delivery, monitoring, and release management. Required qualifications include: - Huawei Cloud expertise: Practical experience working with Huawei Cloud services, including CCE, ECS, OBS, FunctionGraph, LTS, and IAM. - Microsoft Azure experience: Familiarity with Azure services such as AKS, Virtual Machines, App Services, and Azure Monitor. - Infrastructure as Code: Strong experience with Terraform for infrastructure provisioning and configuration management. - Containerization and orchestration: Proficiency with Docker and Kubernetes in production or enterprise environments. - CI/CD automation: Experience building, maintaining, and troubleshooting pipelines using Azure DevOps Pipelines, with knowledge of Huawei CodeArts. - Release management: Practical experience managing deployments, implementing rollback procedures, and recovering from infrastructure or application failures. - Observability and monitoring: Knowledge of logging, monitoring, alerting, and diagnosing issues across cloud environments. - Infrastructure security: Understanding of cloud security principles, identity and access management, and automated environment controls. - Automation mindset: Ability to identify repetitive tasks and develop reliable solutions that improve deployment consistency and operational efficiency. Nice to have: - Experience with databases such as GaussDB, PostgreSQL, SQL Server, MongoDB, and Azure Cosmos DB. - Familiarity with messaging technologies such as Kafka, RabbitMQ, Azure Service Bus, and Huawei Distributed Message Service (DMS). - Experience with SonarQube, Gitflow, and DevSecOps practices. - Knowledge of Agentic DevOps and AI-assisted DevOps methodologies. - Experience automating quality gates for agent-based or AI-enabled systems. - Huawei Cloud, Microsoft Azure, or Kubernetes certifications. - Familiarity with Blue/Green and Canary deployment strategies. Benefits: - Health and dental insurance. - Meal and food allowances. - Childcare assistance. - Extended parental leave. - Access to fitness facilities and health and wellness professionals through Wellhub and TotalPass. - Profit-sharing program (PLR). - Life insurance. - Continuous learning opportunities through a dedicated learning platform. - Employee discount club. - Free online resources focused on physical health, mental health, and overall well-being. - Pregnancy and responsible parenting courses. - Partnerships with online learning platforms. - Language-learning platform. - Additional employee benefits, learning resources, and well-being initiatives. - Inclusive recruitment practices, with dedicated health and well-being professionals and inclusion specialists available to support candidates with disabilities. Assistance obtaining the required disability documentation may also be available. - Workplace requirement: Candidates residing in the Campinas Metropolitan Region must attend the offices in Campinas in accordance with the applicable attendance policy. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

DevOps Engineer Sênior - Huawei Cloud | AI Deployer

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