Descrição da vaga
Kaya AI
Portugal, Viana do Castelo
Senior QA Tester / Engineer em Viana do Castelo, Portugal is listed on Jobeax. Browse 30,000+ vacancies available.
About Kaya AI
Kaya AI is building the system of action for mission-critical construction and infrastructure projects. We help owners, developers, and contractors proactively manage procurement, logistics, and execution across some of the most complex projects in the world, including data centers, life sciences, and advanced manufacturing.
Our platform combines AI, workflow automation, supply chain intelligence, and real-world operational data to help teams deliver projects faster, with greater predictability and less operational friction. Our agentic coworker, Amber, learns customer context in minutes and helps teams complete RFPs faster, win more work, and eliminate hours of manual procurement and logistics work every week.
We are backed by leading investors and trusted by industry leaders including Crusoe, Align Data Centers, Accenture, Suffolk Construction, and Turner. Kaya has been recognized by Infrastructure Masons (IM 100), BuiltWorlds as a Top AI-Driven AEC Solution for 2026, Cemex Ventures Top 50 Contech Startups, and Suffolk Technologies as Startup of the Year.
Summary
We're seeking a senior QA tester / engineer to own quality assurance for an AI-native workflow platform serving mission-critical construction and infrastructure operations, with emphasis on supply chain, procurement, logistics, and execution workflows. This is a hands-on role for someone who can independently verify complex, data-heavy functionality against tickets, designs, and PRDs, catch the bugs that matter (especially data-correctness failures), and hold the quality line across multiple engineering teams.
General information
The work environment is high-velocity and hands-on. We ship continuously. The client needs someone who can run rigorous UAT with limited guidance, build durable QA process over time, and partner closely with engineering, product, and delivery teams. Experience in fast-moving startup environments is highly relevant. Our highest-stakes failure mode is data integrity: a value that is stale or wrong but displayed as current. Catching that class of bug before it reaches a customer is the core of this role.
Tasks and deliverables
- Run UAT against three sources of truth at once (engineering ticket, Figma design, PRD); confirm the build satisfies all three and flag every place they disagree. - Test full workflows end to end: data ingestion, log creation, review/confirm, editing, version updates, export, and third-party integration sync (e.g. Procore), not isolated screens. - Verify data correctness rigorously: confirm displayed values match the source of truth, including after edits, version changes, and re-syncs. Catch stale, cached, or silently-overwritten data. - Test edge cases, empty/error states, and behavior at large data volumes; confirm exports and bulk operations produce correct, complete output. - Verify visual and behavioral fidelity against Figma. - Build and maintain a regression suite, a test-case library, and reproducible bug reports; re-test fixes and track what's verified per release. - Partner across the core build team and the customer-delivery team, surfacing where ticket, design, and PRD diverge rather than just logging defects against one team. - Help define QA standards and release-verification process as the function matures.
Required experience
- 3+ years in QA / software testing on production web applications. - Proven track record of catching non-obvious data and logic bugs, not just UI defects. - Strong ability to test against written specs and designs and to notice when they conflict. - Comfort with browser dev tools / network inspection to distinguish a frontend display bug from a bad-data bug. - Experience owning QA process over time (regression coverage, test-case libraries, release sign-off), not just executing handed-down plans. - Ability to move quickly and work independently from concept to verified release with limited guidance. - Strong written English and proactive communication across multiple stakeholders.
Nice to have
- Experience with data-heavy or table/grid-heavy applications. - Background in supply chain, logistics, construction, procurement, ERP, or industrial software. - Familiarity with SQL/Postgres for verifying data at the source. - Exposure to testing AI/LLM-powered features (extraction, RAG, agent workflows). - Startup or high-growth environment experience.
Job details
- Commitment: Full-time role - Own QA as a function, with direct influence on release quality and process across two engineering teams. - Work setup: Remote. - Timezone: Preferred EST, min. 6+ hours of overlap - Language: English.
Why Join Kaya
- Build products deployed alongside the most important names in the industry, including Crusoe, Align Data Centers, Accenture, Suffolk Construction, and Turner - Apply frontier AI to a massive, underserved real-world domain - Direct partnership with the founder, leadership team, and world-class advisors - Real-world impact on the most complex infrastructure projects in the world, including hyperscale data centers, life sciences facilities, and advanced manufacturing - Access to world-class customers, partners, and investors across AI and infrastructure
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