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Kyndryl

AWS Cloud Engineer

Kyndryl

. Participate in implementing hybrid and multicloud architectures, integrating cloud services with on-premises environments according to Cloud Architect designs .

Posted 10/14/2026full-timeMadrid • SpainJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in implementing hybrid and multicloud architectures, with a strong focus on AWS, Azure, and Google Cloud. Proficient in automation, infrastructure as code, and cloud migration projects, ensuring alignment with best practices and technical standards.

Highest-signal resume keywords
AWS Cloud ServicesAzure Cloud ServicesGoogle Cloud ServicesTerraform AutomationCI/CD Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cloud ArchitectureInfrastructure as CodeScripting with PythonScripting with BashScripting with PowerShellKubernetesOpenShiftNetworking KnowledgeAI-Ready ArchitecturesCloud Security Controls
Soft Skills
Analytical MindsetProblem-Solving AbilityGood Communication SkillsProactivityCustomer Orientation
Tools & Technologies
TerraformCloudFormationARMBicepGitMonitoring ToolsLogging ToolsObservability ToolsAI PlatformsEnterprise Landing Zones
Certifications & Qualifications
AWS Associate CertificationAWS Professional CertificationAzure Associate CertificationAzure Professional CertificationGoogle Cloud Certification
Industry Keywords
Cloud MigrationMulticloud ArchitectureHybrid CloudAI and Machine Learning SolutionsInfrastructure Deployment

Tech Stack

Tools & technologies
AWSAzureCloudDNSKubernetesLinuxOpenShiftPythonTerraform

About the role

Key responsibilities & impact
  • Participate in implementing hybrid and multicloud architectures, integrating cloud services with on-premises environments according to Cloud Architect designs
  • Implement Enterprise Landing Zones, networks, identities, and shared services on AWS, Azure, or Google Cloud
  • Deploy AI-Ready Cloud platforms with the data services, infrastructure, and capabilities required for Artificial Intelligence and Machine Learning solutions
  • Automate infrastructure deployment using Terraform and CI/CD tools
  • Participate in application migration, modernization, and cloud integration projects
  • Develop technical configurations and integrations for deploying cloud platforms and services
  • Participate in technical reviews, architecture validations, and integration activities
  • Provide specialized technical support to delivery teams during implementation, migration, and production launch
  • Validate implemented solutions for alignment with defined architecture and best practices
  • Generate technical documentation and project deliverables, collaborating with Cloud Architects and technical teams to ensure proper implementation and knowledge transfer
  • Develop and maintain reusable Infrastructure as Code modules
  • Develop scripts and automations for deploying, configuring, and integrating cloud services
  • Participate in evolving DevOps pipelines and CI/CD processes
  • Collaborate on defining and applying technical standards, best practices, and reusable Cloud practice assets

Requirements

What you’ll need
  • 2–4 years of demonstrable experience working with AWS, Microsoft Azure, or Google Cloud
  • Knowledge of networks, VPC/VNet, DNS, VPN, load balancers, storage, and Linux/Windows systems
  • Practical experience with Terraform; CloudFormation, ARM, or Bicep valued
  • Knowledge of Kubernetes, OpenShift, and container platforms
  • Experience with Git, CI/CD, and automation tools
  • Scripting experience with Python, Bash, or PowerShell
  • Knowledge of logging, monitoring, and observability tools
  • Knowledge of cloud data and AI platforms, including Azure AI, Amazon Bedrock, Google Vertex AI, or equivalents
  • Knowledge of AI-Ready architectures and managed services for Generative AI and Machine Learning
  • Knowledge of IAM, cloud security controls, and hardening best practices
  • Ability to work in multidisciplinary teams
  • Analytical mindset and problem-solving ability
  • Good communication skills with technical teams
  • Ability to continuously learn new cloud technologies
  • Proactivity and customer orientation
  • Associate or Professional certifications in AWS, Azure, or Google Cloud desirable
  • Knowledge of Enterprise Landing Zones desirable
  • Experience in cloud migration projects desirable
  • Degree in Computer Science, Telecommunications Engineering, or equivalent experience desirable

Benefits

Comp & perks
  • Flexible, supportive environment
  • Well-being support through Be Well programs for financial, mental, physical, and social health
  • Personalized development goals and continuous feedback
  • Learning opportunities, including certifications with Microsoft, Google, and Amazon
  • Coaching and hands-on learning experiences
  • Career development and access to cutting-edge learning opportunities
  • Hybrid-friendly culture