Senior Quality Assurance Engineer, Business Analysis

Role Overview

• Act as a quality authority for legacy and modernized components of the Cott application suite
• Design and execute test strategies that validate functional correctness, data integrity, and system behavior—not just UI workflows
• Identify systemic quality risks in tightly coupled legacy architectures and propose pragmatic mitigation strategies
• Ensure delivered work meets a clear Definition of Done, aligned with technical reality and customer expectations
• Evaluate incoming state mandates, customer enhancement requests, and support-driven tickets
• Translate loosely defined requests into clear, concise, technically grounded requirements
• Rapidly assess feasibility, scope, dependencies, and constraints across legacy platforms and modern integration approaches
• Use visual models and diagrams as the primary tool for defining scope, data flow, and system behavior, ensuring work is truly “ready” before it reaches engineering
• Act as a key contributor to integration-first thinking, including APIs, data synchronization, and external system connectivity
• Help evaluate and shape opportunities involving:
• API-based integrations
• Data exchange platforms
• Modern query and access patterns (e.g., GraphQL, event-driven models, AI-enabled access)
• Ensure integration work is conceived as long-term product capability, not one-off custom work
• Serve as a bridge between Support, Engineering, Product, and Leadership
• Clearly communicate why work is or is not moving forward, grounded in technical and operational realities
• Provide Support and Services teams with clear explanations, scope boundaries, and risk assessments
• Contribute to proposal scoping and pre-sales technical evaluation as part of future professional services engagement

Requirements

• 7+ years of experience in Quality Assurance, Business Analysis, or hybrid QA/BA roles within complex or legacy software environments
• Demonstrated ability to operate effectively without a detailed product roadmap, using judgment and technical insight
• Strong technical fluency, including:
• Ability to understand system architecture, data flows, and integration constraints
• Comfort working directly with engineers on technical tradeoffs and limitations
• Proven experience producing high-signal requirements, including:
• Clear acceptance criteria
• Well-defined assumptions and constraints
• Minimal but sufficient documentation
• Experience validating or supporting data-heavy systems, regulated environments, or government-adjacent software

Tech Stack

• GraphQL