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Cloud Migration engineer

Role overview

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or a related quantitative discipline.
  • 3–5 years of hands-on engineering experience in a collaborative, team-based environment.
  • Professional proficiency in Python, Java or a similar programming/scripting language.
  • Strong Unix/Linux fundamentals with the ability to troubleshoot application, deployment, environment, and runtime issues.

Responsibilities

  • Assess on-prem hosts and perform discovery across business processes, CPU, memory, storage, dependencies, and runtime patterns to determine migration readiness.
  • Analyze workloads based on functionality, business criticality, resiliency requirements, and interruption tolerance to determine appropriate cloud compute placement.
  • Plan and provision required cloud infrastructure capacity to support migration, testing, and production execution.
  • Execute UAT and production parallel testing, compare outcomes, capture evidence, and troubleshoot discrepancies through closure.

Key facts

Other skills

  • Troubleshooting (Problem Solving)
  • Collaboration
  • Problem Solving

About the company

Turtle Trax S.A. logo

Turtle Trax S.A.

Travel & Tourism

Turtle Trax S.A. is a Costa Rican company that organizes rural tourism projects on the Pacific coast of Costa Rica’s Nicoya Paninsula. We create a unique experience for both international and national travellers by combining sea turtle conservation, hands-on volunteer work, community projects, and locally based tourism. Turtle Trax runs four sea turtle nesting beach conservation projects in partnership with PRETOMA, a Costa Rican NGO. The focus of the projects is to protect sea turtle nests both directly, with hatcheries, and indirectly, through community education and sustainable tourism.

Company details

Company typeStartup
IndustryTravel & Tourism
Company size2 - 10

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Job description

Cloud Migration engineer

Basic Qualifications

▪ Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or

a related quantitative discipline.

▪ Experience: 3–5 years of hands-on engineering experience in a collaborative, team-based

environment.

▪ Programming: Professional proficiency in Python, Java or a similar programming/scripting

language.

▪ Systems: Strong Unix/Linux fundamentals with the ability to troubleshoot application,

deployment, environment, and runtime issues.

▪ Methodology: Familiarity with SDLC practices, CI/CD delivery models, change management,

and Kubernetes-based deployments.

Key Responsibilities

▪ Assess on-prem hosts and perform discovery across business processes, CPU, memory, storage,

dependencies, and runtime patterns to determine migration readiness.

▪ Analyze workloads based on functionality, business criticality, resiliency requirements, and

interruption tolerance to determine appropriate cloud compute placement.

▪ Plan and provision required cloud infrastructure capacity to support migration, testing, and

production execution.

▪ Execute UAT and production parallel testing, compare outcomes, capture evidence, and

troubleshoot discrepancies through closure.

▪ Perform performance tuning and optimization to ensure migrated workloads are stable,

scalable, efficient, and production ready.

▪ Partner with application engineering, infrastructure, and platform teams to finalize migration

plans, release approach, validation criteria, and rollback considerations.

▪ Manage release readiness, execute production deployment activities, and complete post

release checkout and validation procedures.

▪ Support legacy on-premises host decommissioning after successful migration and validation.

▪ Design, enhance, and implement automation frameworks and AI-assisted solutions to enable

repeatable, efficient, large-scale cloud migrations.

▪ Document migration procedures, operational learnings, risks, and best practices to improve the

factory execution model.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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