Description

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.

Required Qualifications

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.

Technical Competencies

Candidates are not expected to be experts in every tool, but should bring strong hands

on experience across several of the following areas:

▪ AWS Services: Hands-on experience with AWS compute and migration patterns,

including

ECS, EKS, Lambda, CloudWatch, and related cloud services.

▪ Cloud Migration: Practical understanding of on-prem to cloud migration strategies,

workload

assessment, testing, cutover, and post-migration validation.

▪ Programming and Automation: Experience with Python, Java, Shell, or similar

languages to

build scripts, utilities, and automation frameworks.

▪ APIs and Integration: Working knowledge of RESTful APIs, API design, and API

Gateway

patterns.

▪ CI/CD and Version Control: Strong experience with GitLab, Jenkins, Maven, or similar

tools

supporting automated build, test, and deployment pipelines.

▪ Batch Scheduling: Experience with batch scheduling platforms such as Autosys,

Control-M,

Cron, or equivalent workflow orchestration tools.

▪ Observability: Familiarity with monitoring, logging, alerting, and troubleshooting using

tools

such as CloudWatch, Splunk, or equivalent platforms.

▪ Automation Excellence: Ability to design repeatable automation and apply AI-assisted

engineering approaches to improve migration scale, quality, and efficiency.

Core Competencies:

▪ Exceptional analytical, troubleshooting, and debugging skills.

▪ Strong ownership mindset with the ability to drive work to closure and meet

commitments.

▪ Clear written and verbal communication, including concise status updates, structured

briefings, and proactive stakeholder management.

▪ Effective collaboration across application, infrastructure, platform, and global

engineering

Key Skills

Education

Bachelor's or Master's degrees