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Valce Talent Solutions

Cloud Migration engineer

PythonJavaKubernetes

About the opportunity

Cloud Migration engineer

Basic Qualifications

  1. Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or a related quantitative discipline.
  1. Experience: 3–5 years of hands-on engineering experience in a collaborative, team-based environment.
  1. Programming: Professional proficiency in Python, Java or a similar programming/scripting language.
  1. Systems: Strong Unix/Linux fundamentals with the ability to troubleshoot application, deployment, environment, and runtime issues.
  1. Methodology: Familiarity with SDLC practices, CI/CD delivery models, change management, and Kubernetes-based deployments.

Key Responsibilities

  1. Assess on-prem hosts and perform discovery across business processes, CPU, memory, storage, dependencies, and runtime patterns to determine migration readiness.
  1. Analyze workloads based on functionality, business criticality, resiliency requirements, and interruption tolerance to determine appropriate cloud compute placement.
  1. Plan and provision required cloud infrastructure capacity to support migration, testing, and production execution.
  1. Execute UAT and production parallel testing, compare outcomes, capture evidence, and troubleshoot discrepancies through closure.
  1. Perform performance tuning and optimization to ensure migrated workloads are stable, scalable, efficient, and production ready.
  1. Partner with application engineering, infrastructure, and platform teams to finalize migration plans, release approach, validation criteria, and rollback considerations.
  1. Manage release readiness, execute production deployment activities, and complete post release checkout and validation procedures.
  1. Support legacy on-premises host decommissioning after successful migration and validation.
  1. Design, enhance, and implement automation frameworks and AI-assisted solutions to enable repeatable, efficient, large-scale cloud migrations.
  1. Document migration procedures, operational learnings, risks, and best practices to improve the factory execution model.

ADVANCED ENGLISH REMOTE

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