{"id":1198912,"url":"https://alion.io/job/skin-analytics-senior-automation-qa-engineer","title":"Senior Automation QA Engineer","company":{"id":51569,"name":"Skin Analytics","domain":"skin-analytics.com","url":"https://alion.io/company/skin-analytics","size_band":"11-50","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"QA","role_family":"QA","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":65000,"max_usd":120000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Appium","optional":false},{"name":"Playwright","optional":false},{"name":"Postman","optional":false},{"name":"Swagger","optional":false}],"status":"live","first_seen_at":"2026-09-24T10:04:13Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T19:48:42Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Want to join a team of passionate people who want to build a future where no one dies from skin cancer?\nAbout us\nSkin Analytics is an award-winning, health tech company that deploys world-leading skin cancer pathways using AI as a medical device, DERM.\nFollowing our recent £15M series B funding, regulatory milestones hit, and doubling from 50 to 100 headcount in 2025, we're ready to scale further internationally, making history for AI in healthcare and the future of dermatology.\nWe're proud to epitomise AI for good - with a Class III CE mark, DERM is the only AI as a medical device approved to make clinical decisions autonomously in the cancer space, as well as being the first company to receive a NICE recommendation for use across the NHS.*\nDERM is deployed at more than 28 NHS organisations where we enable patients to gain significantly quicker access to skin cancer diagnosis. If that's not enough, we also collaborate with some of the largest health insurers to reach patients in their own homes.\nWe are a team of passionate people on a mission to build a future where no one dies from skin cancer.\nBrief overview\nWe are looking for a highly skilled Automation QA Engineer with extensive experience across the full testing pyramid, from unit and integration tests through to end-to-end testing, on both mobile and web applications as well as pure API products. The ideal candidate will have a strong background in software quality assurance, will be comfortable defining a testing strategy from scratch, and will be confident collaborating directly in the product codebase to make automated testing easier.\nResponsibilities\nDefine and own the test strategy for new products and features, from unit through integration and end-to-end coverage.\n\nBuild and maintain automated test suites for mobile, web and pure API applications.\n\nSupport manual testing where required, particularly for new features or areas not yet covered by automation.\n\nMake changes directly in the product codebase where it makes testing easier, such as adding test IDs, rather than relying on engineers to do it.\n\nDocument test plans, results, defects and track regulated software verification using Ketryx.\n\nReview and analyse user stories, requirements, and technical specifications, working closely with developers and product managers to identify gaps, ambiguity, or potential issues before development starts\n\nWork with other QAs and engineers to improve testing tooling, coverage, and approach across the team as a whole\n\nRequired Experience\n4+ years in software QA with a focus on automation testing.\n\nHands-on experience building automated tests spanning web, mobile (iOS and Android) and API layers with Playwright and Appium.\n\nExperience testing pure API products, using tools like Postman and Swagger.\n\nProven experience defining a product test strategy as a whole.\n\nUsing agentic AI tooling to accelerate the creation and maintenance of automated tests.\n\nNice to have (but we can teach you)\nExperience in working within a regulated SSDLC process\n\nExperience in working in MedTech, including ISO 13485 and ISO 62304\n\nBenefits\nCompetitive salary\n Share options package - all our employees have ownership in the company\nPrivate healthcare\nCompany pension incl. salary sacrifice options\n25 days annual leave + 5 day company shutdown in August + bank holidays\nEnhanced parental leave - includes adoption & foster\nYellownest Salary Sacrifice Nursery Scheme - save with workplace nursery scheme\n Bike to work scheme\nTraining budget\nWeekly catch-ups, monthly meetings to talk about you, your ambitions and work on your development\nLots of fun social activities!\nOur Values\nBuilding a Strong Foundation\nAlways Learning\nLead from the Front\nTough and Resilient\nThe Real Stuff\nSkin Analytics embraces and is committed to diversity and equal opportunities. We are dedicated to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. If you need any adjustments during our hiring process, you can indicate that at the next step.\nAI usage in our hiring process\nIf you submit an application to us, you will consent to AI playing a role in your hiring process. No hiring decision is ever made by an algorithm alone. Every AI-generated summary, screening result, or note is reviewed, verified, and, if necessary, corrected by a member of our recruitment team. Humans make the final call on who moves forward and who receives an offer.\nYou can find more information about how we use AI in our hiring process here.","description_format":"text","description_chars":4576,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual leave","Parental leave","Stock options","Workplace nursery"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Health Care"],"lifecycle":[{"event":"open","at":"2026-09-24T19:48:42Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":30,"reasons":["conf:2","win:early"],"computed_at":"2026-09-24T22:41:10Z"},"pay":null,"html_url":"https://alion.io/job/skin-analytics-senior-automation-qa-engineer","json_url":"https://alion.io/job/skin-analytics-senior-automation-qa-engineer.json","meta":{"generated_at":"2026-09-24T22:41:10Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":909,"day_limit":5000,"remaining_today":4091,"minute_limit":60,"resets_at":"2026-09-25T00:00:00Z"}}}