Cloud Migration engineer

🏢 Sequoia Connect · all Sequoia Connect jobs
📍 Mexico
📅 Posted 2026-07-27 · via Himalayas
🏷 Cloud-DevOps,Cloud-Migration-Engineering,Cloud-Infrastructure,DevOps-Engineer,Cloud-Engineer,Cloud-Migration-Engineer,AWS-Migration-Engineer,Cloud-Migration-Specialist,Migration-Engineer,Cloud-Migration-Consultant
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Description

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.

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High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.

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Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
- Familiarity with cloud-n

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