Cloud Migration engineer

Turtle Trax S.A.

United States

Remote

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Turtle Trax S.A. seeks a Cloud Migration Engineer to drive on-prem to cloud transitions with advanced English skills and a fully remote arrangement. You will assess, plan, and execute migrations, coordinate with engineering, infra, and platform teams, and optimize for performance and reliability.

Ideal candidates bring 3–5 years of hands-on experience, strong Python/Java skills, and Kubernetes deployment know-how, delivering secure, scalable, and production-ready solutions.

Qualifications

  • Degree in a quantitative field such as CS, Engineering or Applied Math.
  • 3–5 years hands-on engineering in a team environment.
  • Proficient in Python, Java or similar languages.
  • Strong Unix/Linux fundamentals for troubleshooting.
  • Familiar with SDLC, CI/CD, change management, and Kubernetes-based deployments.

Responsibilities

  • Assess on-prem hosts and discover migration readiness across processes and resources.
  • Analyze workloads to place cloud compute appropriately.
  • Plan and provision cloud infrastructure for migration, testing, and production.
  • Execute UAT and production parallel testing; troubleshoot discrepancies.
  • Perform performance tuning for stable, scalable workloads.
  • Collaborate with app, infra, and platform teams on migration plans and rollbacks.
  • Manage release readiness and production deployment activities.
  • Support decommissioning of legacy on-prem hosts after migration.
  • Design and implement automation frameworks for repeatable cloud migrations.
  • Document migration procedures and best practices.

Skills

Python/Java proficiency
Unix/Linux fundamentals
SDLC/CI-CD familiarity
Kubernetes deployments

Education

Bachelor’s or Master’s degree in CS/Engineering/Applied Math

Tools

Kubernetes
CI/CD pipelines

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.

ADVANCED ENGLISH

REMOTE

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