QA Engineer

QA Engineer Yrefy LLC Phoenix, AZ Job Details Full-time 2 hours ago Qualifications Bug Tracking (Quality assurance practices) Test management tools Writing skills Bug Reporting (Quality assurance practices) SQL Azure DevOps proficiency Regression testing Agile software development Test Planning (Quality assurance practices) Database software proficiency Full Job Description QA Engineer Manual & Functional Testing Focused (NOT

A REMTOTE POSITION

) About the Role Invessio is building the infrastructure for modern investment management. Quality here isn't a final gate. It's baked in from day one. We're looking for a QA Engineer who brings systematic, intentional skepticism to every sprint: someone who reads the PRD before dev picks up the ticket and treats vague acceptance criteria as a blocker, not a to-do. This role is primarily manual and functional, but "manual" doesn't mean clicking through happy paths. It means deep exploratory testing, business logic validation, and being the person who asks the question no one else thought to ask. This role is also deeply embedded in the software development lifecycle and plays a critical role in stabilization, release readiness, and ensuring system behavior aligns with both technical intent and business expectations. What You'll Do Test Planning & Execution Write structured, detailed test cases that a stranger could execute exactly with no ambiguity Develop test plans from PRDs, user stories, and acceptance criteria Execute functional, regression, integration, and exploratory testing Document bugs with clear reproduction steps, environment info, and expected vs. actual behavior Re-test fixes and verify no regressions were introduced Business Logic & Data Validation Validate calculations, servicing logic, and workflow outputs against expected behavior Cross-check data against source of truth datasets to catch inconsistencies and drift Validate system outputs against defined calculation models and expected business logic Identify edge cases that only surface under specific data conditions Early Lifecycle QA Join sprint planning and design reviews to give testability feedback before dev begins Flag requirements that are vague, contradictory, or untestable before anyone builds the wrong thing Collaborate with product to sharpen acceptance criteria Ensure quality considerations are addressed early, not after development is complete Release Readiness Validate feature completeness and stability before go/no-go decisions Maintain test results, defect trends, and coverage documentation Contribute to release readiness criteria: "done" is defined, not assumed Provide clear input into go/no-go decisions based on risk, known issues, and system confidence levels Stabilization & Risk-Based Testing Prioritize testing efforts based on risk, impact, and known system instability areas Focus validation on high-risk workflows, calculations, and data dependencies Support stabilization efforts by identifying patterns in defects and recurring failure points Operate effectively in environments where not everything is fully defined or fully stable Collaboration Work with engineers to understand what changed and where regression risk is highest Partner with product to ensure what's built matches what was specified Communicate blockers clearly and early, no surprises at the end of a sprint Help create alignment between product intent, engineering implementation, and production behavior Participate actively in ADO-driven sprint workflows, ensuring QA visibility and traceability across requirements, defects, and releases What We're Looking For Required 3+ years QA experience in SaaS or web applications Strong test case writing skills: structured, clear, executable Experience with functional, regression, and integration testing Experience working within Azure DevOps (ADO) for test case management, defect tracking, sprint collaboration, and release validation workflows Ability to clearly document defects, test execution results, and validation status within ADO Solid understanding of SDLC and Agile methodology Basic SQL skills to independently validate and investigate data without always needing engineering support Preferred Experience in fintech, financial platforms, or calculation-heavy systems Exposure to API testing (Postman or similar) for backend validation Familiarity with exploratory testing techniques and session-based testing Experience providing testability feedback on PRDs or specifications Experience working in stabilization phases or partially mature product environments Exposure to test automation or interest in building automated test coverage over time Mindset Thinks like a user, breaks like an adversary Knows the difference between "no bugs found" and "no bugs exist" Shows up in planning, not just at the end of the pipeline Treats reproducibility as everything Understands that QA owns the question: does this actually do what we said it would, under real conditions? Understands that not all areas carry equal risk and knows how to prioritize testing accordingly Comfortable operating in ambiguity and helping create clarity where it doesn't exist