Cloud Migration engineer

 Posted 14 hours ago
  
 Mexico
  
2-5 years experience
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AI Summary

The engineer will assess on-premises hosts and plan the migration of workloads to cloud infrastructure. Responsibilities include executing testing, optimizing migrated workloads, and implementing automation frameworks for large-scale migrations.

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers—including several Fortune 500 companies—to "Rise™." With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing.

This is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong.

We are currently searching for a Cloud Migration Engineer:

Client Overview Our Client is a leading global organization seeking a dedicated engineer to drive their cloud transformation initiatives and ensure seamless transitions from legacy systems.

The Challenge (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.

Your Profile (Requirements)

  • 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.
  • Familiarity with SDLC practices, CI/CD delivery models, change management, and Kubernetes-based deployments.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

  • Familiarity with cloud-native foundations or AI coding assistants.

Languages

  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes

  • This is a fully remote opportunity.

Work Arrangement We value flexibility to support your lifestyle. This position is available as:

  • Remote.


If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/


Requirements

  • 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.
  • Familiarity with SDLC practices, CI/CD delivery models, change management, and Kubernetes-based deployments.

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