Cloud Migration engineer

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. 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.