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.
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