AboutUpshop:

Upshop is the foremost provider of a SaaS platform designed to streamline forecasting, ordering, production, and inventory optimization processes for food retailers. Its unified platform simplifies and enhances associate tasks, promoting smarter and more interconnected operations across Fresh, Center, DSD, and eCommerce departments. With over 450+ retailers and 50,000+ stores relying on its mission-critical operations platform globally, customers have witnessed substantial enhancements in sales, shrinkage reduction, food safety, and sustainability throughout their stores.

At Upshop, we believe that great businesses are built by great people. Our People function is at the heart of our company’s growth, ensuring we attract, develop, and retain A Players who drive our mission forward.

OverviewoftheRole:

WearelookingforaSeniorQualityEngineerwhoownsquality,reliability,andperformancethroughstrongautomation—andwhousesAIasaforcemultiplier,notasubstituteforjudgment.

You build and maintain end-to-end and API coverage, contribute to test strategy, and shift quality left with agents, RAG, and prompt engineering. You stay accountable for what those systems produce. You advocate for quality, act before you are asked, and challenge weak process, thin coverage, or “this is how we’ve always done it” when it puts the customer at risk. You adapt to a quick-paced engineering culture: changing priorities, short cycles, and delivery without lowering the quality bar.

KeyResponsibilities

- Picktherightlayer:proverulesanddatainAPItests;useUI/mobileonlywhenthatsurfaceistheproof.




- Runsuites,analyzefailures,drivedefectstoclose,andkeeppipelinestrustworthy(flakes,failingjobs,follow-upuntildone).
- Shiftleft:reviewacceptancecriteriafortestability,workfromspecificationsandscenarios,andmapeverycriteriontoAPI,Web,and/orMobile—ormarkitnotapplicablewithevidence.Donotinventtestsfromatickettitle.
- Keeptestsrequirement-tracedfromdesignthroughautomation.CI/releaseresultsarethesourceoftruthforpass/fail.
- UseAIagentstodesigncases,implementautomation,andraisereviewablePRsthatextendexistingframeworks.ApplypromptengineeringandRAGsooutputisgroundedinspecifications,existingtests,andstandards—notguessed.
- Review and correct agent output. Stop when evidence is missing. Never claim AI work passed without pipeline proof and human review. Protect secrets and customer data in prompts and retrieval.
- Ownteamqualityoutcomes:coverage,automationstandards,PRgates,andreleasereadiness—notjustassignedtickets.
- Stayeffectivewhenscope,priorities,ortimelinesmove.Re-plancoverage,communicateriskearly,andkeepautomationandpipelinesusableunderdeliverypressure.

RequiredSkills

- PracticaluseofAIcodingagents,withpromptengineeringandretrieval-backed(RAG)workflows;judgmenttoaccept,revise,orstopgeneratedwork.
- Shift-leftmindset:earlytestability,requirement-tracedautomation,humanaccountabilityforAI-assistedquality.
- Proactive,quality-advocateposture:ownsoutcomes,stepsoutsidethecomfortzone,andchallengesweakdefaults.
- Provenabilitytoadapttoafast-pacedengineeringcultureanddeliverqualityunderchangingpriorities.
- ExperienceworkinginAgile/Scrumenvironments.
- CI/CDintegrationofautomatedtests;performance/loadtools.
- Spec-drivenoragenticworkflows;evaluatingqualityofRAGorconversationalAIfeatures.

📌 Quality Engineer (Toronto)
🏢 Upshop
📍 Toronto