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Cloud Migration engineer- Remote in México

GSB Solutions
CompanyGSB Solutions
CategoryEngineering
LocationMéxico
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted
Last verified30 Jul 2026
SourceEmployer career page (recruitee)
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Description
Important IT company At the Latin American level, growth requires: Cloud Migration Engineer Basic Qualifications: ▪ Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, Information Technology, or a related quantitative discipline. ▪ Experience: 3–5+ years of hands-on engineering experience supporting infrastructure, applications, cloud environments, or enterprise migration initiatives in collaborative team-based environments. ▪ Cloud Experience: Hands-on experience with one or more major cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform, including compute, storage, networking, identity, security, and monitoring services. ▪ Programming & Automation: Professional proficiency in Python, Java, Bash, PowerShell, or similar programming/scripting languages. Ability to develop automation tools and scripts to improve migration efficiency and repeatability. ▪ Operating Systems: Strong Unix/Linux fundamentals with the ability to troubleshoot application, deployment, infrastructure, environment, networking, and runtime issues. ▪ Containers & Modern Platforms: Experience with Docker, Kubernetes, and container-based deployments, including troubleshooting, scaling, configuration management, and operational support. ▪ Infrastructure as Code (IaC): Experience with automation and provisioning tools such as Terraform, CloudFormation, ARM/Bicep templates, Ansible, or equivalent technologies. ▪ Methodology: Strong understanding of SDLC practices, Agile methodologies, CI/CD delivery models, change management processes, release management, and production deployment procedures. ▪ Networking Fundamentals: Understanding of enterprise networking concepts including TCP/IP, DNS, routing, firewalls, VPNs, load balancing, private connectivity, and hybrid cloud architectures. Key ResponsibilitiesDiscovery & Migration Assessment: ▪ Assess on-premises hosts, applications, databases, middleware, and infrastructure components to perform technical discovery and migration readiness analysis. ▪ Analyze CPU, memory, storage utilization, dependencies, integrations, runtime patterns, licensing considerations, and application architecture. ▪ Identify migration risks, technical constraints, dependencies, and remediation requirements. ▪ Analyze workloads based on functionality, business criticality, resiliency requirements, compliance needs, and interruption tolerance. ▪ Define appropriate cloud placement strategies including rehost, replatform, refactor, retire, retain, or replace approaches. Cloud Infrastructure Planning & Implementation: ▪ Design and provision cloud infrastructure capacity required to support migration activities, testing environments, and production workloads. ▪ Configure cloud resources including compute, storage, networking, identity, security controls, monitoring, and operational tooling. ▪ Validate cloud environments against architecture standards, security requirements, and operational readiness criteria. ▪ Implement infrastructure automation using Infrastructure as Code practices. Migration Execution & Validation: ▪ Execute migration waves following approved migration plans, runbooks, and change management procedures. ▪ Perform User Acceptance Testing (UAT), production parallel testing, and technical validation activities. ▪ Compare pre-migration and post-migration results, capture evidence, troubleshoot discrepancies, and drive issues through resolution. ▪ Support production cutovers, release activities, rollback procedures, and post-release validation. ▪ Perform post-migration health checks to ensure workload stability, performance, scalability, and operational readiness. Performance Optimization & Operations: ▪ Perform workload tuning and optimization to ensure migrated applications are stable, scalable, reliable, and cost efficient. ▪ Analyze performance metric
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