Dentsu World Services Brazil
Dentsu World Services Brazil
Dentsu World Services Brazil वैश्विक Dentsu Group का ब्राज़ीलियाई संचालन है, जो परामर्श, मीडिया और मार्केटिंग के क्षेत्रों में काम करता है। इसकी टीमें उपभोक्ता संबंधी जानकारी, बाज़ार अनुसंधान और एकीकृत मार्केटिंग विशेषज्ञता का उपयोग करके ब्रांडों को ग्राहकों को समझने, जुड़ाव मजबूत करने और ग्राहक बनाए रखने में सहायता करती हैं। कंपनी जटिल बाज़ार चुनौतियों को व्यावहारिक अंतर्दृष्टियों और सहयोगात्मक समाधानों में बदलने पर ध्यान केंद्रित करती है, जो टिकाऊ ब्रांड मूल्य और उद्योग से जुड़ी सूचित चर्चाओं में योगदान देते हैं।

Mid-Level DevOps and AI Platform Engineer — Remote in Brazil

Support cloud infrastructure, CI/CD, observability, and AI platform services for Dentsu in a global, multicultural environment. Help develop reliable, efficient, and well-documented platform solutions across modern cloud and automation technologies.

विवरण

  • Manage and monitor Azure, AWS, and/or GCP resources in line with approved architectures and operating standards
  • Build and maintain Infrastructure as Code with Terraform or OpenTofu
  • Maintain AI platform resources and services, including model catalogs, documentation, APIs, and version control
  • Help improve the efficiency and cost-effectiveness of AI resource usage
  • Develop and improve reusable, scalable GitHub Actions CI/CD workflows while applying quality best practices
  • Build and manage secure, lightweight, optimized Docker images and repositories
  • Support containerized environments with Docker, Kubernetes, and Helm
  • Apply observability practices to track platform and application health and monitor relevant metrics
  • Provide first-line technical assistance to developers, AI teams, and internal users
  • Automate environment administration and maintenance with Bash, PowerShell, Python, and/or Go
  • Expand technical documentation and maintain the team’s shared knowledge base
  • Communicate releases, changes, incidents, and status updates clearly to technical and non-technical audiences
  • Assess user requests and reported problems, clarify technical needs, and recommend or escalate solutions appropriately

आवश्यकताएँ

  • Practical experience with at least one major cloud platform: Azure, AWS, or GCP
  • Working knowledge of cloud administration across networking, compute, databases, and identity and access management
  • Knowledge of Infrastructure as Code, ideally Terraform or OpenTofu
  • Understanding of Docker and container fundamentals
  • Familiarity with Kubernetes and/or Helm
  • Knowledge of CI/CD pipeline practices
  • Experience with or working knowledge of GitHub Actions
  • Strong Linux skills, including shell operation, package management, permissions and ACLs, and basic system configuration
  • Ability to script or program with Bash, PowerShell, Python, and/or Go
  • Understanding of DevOps principles across the software development lifecycle
  • Familiarity with monitoring and observability practices
  • Structured approach to investigating issues, clarifying requirements, and developing solutions
  • Strong written and verbal communication skills, including technical documentation and concise status updates
  • Collaborative and curious mindset with enthusiasm for learning new technologies
  • Ability to handle multiple priorities at the same time
  • Advanced English skills for meetings, technical discussions, and presentations in an international setting
  • Experience with cloud AI services such as Azure AI Foundry, AWS Bedrock, or Google Vertex AI is advantageous
  • Knowledge of AI application concepts including RAG, LLMs, and token optimization is advantageous
  • Experience using AI development tools such as GitHub Copilot, Claude Code, or Antigravity to improve productivity is advantageous
  • Advanced GitHub Actions experience, including composite actions, custom actions, Docker-based actions, and reusable workflows, is advantageous
  • Experience with services such as API Gateway, CDN or edge platforms, managed Kubernetes, Entra ID, IAM, or SSO is advantageous
  • Experience with observability platforms such as Datadog, New Relic, or open-source stacks is advantageous
  • Familiarity with observability platforms built specifically for AI applications is advantageous
  • Experience collaborating with global and multicultural teams is advantageous

लाभ

  • A collaborative workplace grounded in respect and trust
  • Work on global initiatives alongside multicultural teams
  • Company-provided equipment, including a laptop and peripherals
  • Health and dental coverage
  • Life insurance
  • Mental health support program
  • Anywhere Office flexibility to work from the location you need
  • Meal and food allowance through the Flash benefits card
  • Home office allowance through the Flash benefits card
  • Mobility allowance through the Flash benefits card
  • Mentoring for professional growth and career guidance
  • Development tracks with course and learning allowances, plus access to a broad self-paced learning platform
  • Individual English lessons with a private instructor
  • Awesomeness Committee gifts tied to themed and exclusive initiatives
  • Gympass membership
  • Flexible 40-hour work schedule
  • Choice of fully remote or hybrid work
  • Birthday day off
  • Recognition program allowing colleagues to give and receive monthly dentsu dollars

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