Support a large-scale government agency initiative to modernize a complex, interdependent system of systems migrating from legacy on-premises platforms to AWS Cloud Native architectures.
Conduct structured discovery sessions to understand legacy on-prem systems, workflows, data dependencies, and integration points.
Support development of phased migration plans (e.g., refactor vs. lift-and-shift decisions).
Identify cross-system dependencies that must be sequenced to prevent downstream rework or hybrid thrashing.
Collaborate with architects to ensure requirements align to target cloud-native design principles.
Develop modernization EPICs aligned to cloud-native re-architecture, data ingestion modernization, integration redesign, automation of manual workflow gates, DevSecOps enablement.
Decompose EPICs into features and refined user stories with clear acceptance criteria, testable outcomes, and defined dependencies.
Establish initial product backlog in collaboration with Product Owners.
Ensure traceability from high-level modernization objectives to sprint-ready user stories.
Collaborate with Requirements Engineers in other workstreams to coordinate interdependent user stories, align sequencing of integration capabilities, prevent duplication of effort, and manage shared components.
Maintain visibility of system-of-systems impacts when new requirements are introduced.
Support integrated release planning across workstreams.
Maintain end-to-end Requirements Traceability Matrix (RTM), ensuring requirements are testable and align with validation frameworks.
Define requirements for high-volume data processing systems, event-driven and serverless architectures, API-based integration patterns, and database modernization (e.g., Postgres/Aurora migration).
Requirements
7+ years of experience in requirements engineering or technical business analysis.
Demonstrated experience developing migration plans from legacy on-premises systems to AWS Cloud Native environments.
Experience documenting FEATURES/EPICs and decomposing into detailed user stories.
Experience building and managing Agile backlogs in Jira or equivalent tools.
Experience working within Agile Scrum Teams.
Strong understanding of Definition of Done, acceptance criteria, and backlog grooming.
Experience supporting data-intensive or system-of-systems modernization programs.
Strong technical literacy in cloud-native architectures (AWS preferred).
U.S. Citizenship required.
Experience supporting regulated or federal environments.
Familiarity with legacy analytical or SAS-based systems.