land records and court-related software solutions Canada, the United States, and Lebanon
large, long-lived legacy codebase APIs, data access, cloud operations, and platform design
company transformation
- Visual thinking over excessive documentation
- Clear definitions of “ready” and “done”
- Pragmatic decision-making grounded in technical reality
- Building long-term capability rather than one-off solutions
This role sits at the center of that transformation, helping ensure that quality, feasibility, and clarity scale alongside the business.
About the Role
Cott Systems (a Valsoft portfolio company) is seeking a Senior Quality Assurance & Business Analysis Engineer to serve as a cornerstone of product quality, technical clarity, and execution discipline across our land records software portfolio.
This is a hands-on senior individual contributor role, reporting to the CTO and working closely with Product Management, Engineering, Support, and Professional Services. The role exists to ensure that what we build, integrate, or commit to is technically sound, clearly defined, and fit for purpose—particularly in the context of a large, legacy application suite. Cott faces continuous demand driven by state mandates, customer enhancement requests, and integration opportunities. This role ensures those demands are evaluated rigorously, scoped quickly, and communicated clearly—whether the outcome is delivery, deferment, or decline.
Over time, the role is expected to help shape integration-first, API-centric, and data-driven strategies that can be productized or delivered through professional services, turning quality and clarity into revenue-enabling capabilities.
KEY RESPONSIBILITIES
Product Quality & Validation
- 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
- Business Analysis & Technical Feasibility
- 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
Integration & Platform Readiness
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Act as a key contributor to integration-first thinking, including APIs, data synchronization, and external system connectivity
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Help evaluate and shape opportunities involving:
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API-based integrations
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Data exchange platforms
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Modern query and access patterns (e.g., GraphQL, event-driven models, AI-enabled access)
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Ensure integration work is conceived as long-term product capability, not one-off custom work
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Support the evolution of integrations from bespoke solutions into repeatable, scalable offerings
Cross-Functional Communication & Enablement
- 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
Required Qualifications
- 7+ years of experiencein Quality Assurance, Business Analysis, or hybrid QA/BA roles within complex or legacy software environments
- Demonstrated ability to operate effectivelywithout 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 producinghigh-signal requirements, including:
- Clear acceptance criteria
- Well-defined assumptions and constraints
- Minimal but sufficient documentation
- Experience validating or supportingdata-heavy systems, regulated environments, or government-adjacent software
Nice to Have
- Experience with land records, courts, or other highly regulated domains
- Familiarity with APIs, data synchronization patterns, or integration platforms
- Exposure to modernization initiatives involving legacy systems
- Experience supporting professional services, implementations, or customer-specific solutions
- SQL or data-level validation experience