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QA Engineer

Impact.com
CompanyImpact.com
CategoryEngineering
LocationCape Town
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted22 Jul 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
About impact.com impact.com is the world’s leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products— Performance (affiliate), Creator (influencer), and Advocate (customer referral)—unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L’Oréal, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results. Your Role at  impact.com : As a Quality Assurance Engineer in the Finance Invoicing Squad at impact.com, you will treat our software architecture as a dynamic, living system, directly aligning your testing strategies with critical financial outcomes and long-term customer value. You will leverage high adaptability and numerical logic to move fast, avoid analysis paralysis, and build automated and manual testing structures that scale seamlessly as our platform grows. Operating in an entrepreneurial, high-accountability, blame-free culture where ambition, curiosity, and diverse perspectives are rewarded, you will utilize Playwright, SQL, and API testing methodologies to deliver high-quality software. This role carries a unique dual mandate: providing direct influence through every phase of the feature delivery workflow while ensuring the persistent health of our invoicing and ledger infrastructures. You will optimize for future system health with a zero-tolerance stance on data inconsistency, delivery delays, or hidden single points of failure. What You'll Do: Automation Engineering & Scalability Playwright Framework Expansion: Design, configure, and scale a modular automated regression pack using Playwright to validate complex end-to-end user billing journeys, invoices, payment routing flows, and overall system interfaces. Predictive Pipeline Execution: Ensure daily test suites run smoothly on schedule. Efficiently debug test failures using execution traces, video recordings, and artifacts to isolate backend root causes from superficial symptoms. Code Review & Continuity: Review and action pull requests within the QA repository, ensuring that the automated test framework remains thoroughly documented with a strict focus on system continuity. Cloud Infrastructure Emulation: Utilize cloud testing platforms to perform targeted manual and visual mobile web audits, evaluating layout boundaries and touch thresholds across diverse physical and virtual device profiles. AI-Augmented Testing: Leverage LLM-based tooling and coding assistants to accelerate test authoring, generate synthetic data for edge-case coverage, and rapidly triage log signals. Crucially, you will apply a "verify-first" mental model—using AI for velocity, but applying deterministic, human-led verification for all financial calculations where accuracy is non-negotiable. Data, Analysis & Manual Testing Mastery Rigorous Test Planning: Review product designs and technical requirements throughout the SDLC to ensure they are correct, unambiguous, and verifiable, proactively recommending architectural corrections to engineers. Abstract Problem Solving: Analyze ambiguous user stories, ledger requirements, and system profiles to break down complex architectures into detailed test plans containing explicit functional, integration, regression, smoke, and sanity test cases. Advanced SQL & Data Auditing: Apply data-driven judgment and advanced SQL querie
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