{"id":174593,"url":"https://alion.io/job/arionkoder-senior-qa-engineer-manual-automation-","title":"Senior QA Engineer ( Manual & Automation )","company":{"id":61566,"name":"Arionkoder","domain":"arionkoder.com","url":"https://alion.io/company/arionkoder","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":18,"ghost_share":0,"stale_share":0.278,"repost_share":0,"time_to_fill_p50_days":116,"computed_at":"2026-10-21T05:46:15Z"}},"role":"QA","role_family":"QA","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":99000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1161},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Appium","optional":false},{"name":"Asana","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Cypress","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"Linear","optional":false},{"name":"Playwright","optional":false},{"name":"Postman","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Rest-Assured","optional":false},{"name":"Selenium","optional":false},{"name":"Supertest","optional":false},{"name":"TestRail","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-07-07T14:32:58Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-21T06:01:23Z","board_verified":true,"closed_at":null,"days_open":105,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":105},"description":"Arionkoder is an AI consulting firm helping companies build, embed, and own AI systems that drive real business outcomes. We combine Product Development, Artificial Intelligence, and Team Augmentation to craft digital products and solutions that create lasting impact - guided by a human-centric approach and a commitment to pushing the boundaries of what technology can do.\nWe are looking for a Senior Quality Engineer to own quality end-to-end across one of our core product teams and continuously raise the quality bar of the products you support. \nYou will work shoulder-to-shoulder with engineers, product managers, designers, and DevOps to shape what \"done\" means: defining acceptance criteria, designing test coverage that reflects real product risk, and acting as the final checkpoint before anything reaches production. You bring an AI-first mindset to the craft-using AI tools to accelerate test design, automation, triage, and reporting, with the judgment to know when to trust the output and when not to.\nThis is not a role for someone who waits for tickets to be marked \"ready for QA.\" We need a quality engineer who challenges unclear requirements, asks the uncomfortable questions early, and treats production confidence as a deliverable - measured in fewer surprises in production, faster releases, and a stronger quality culture across the teams you work with.\nRequired Qualifications\n Quality Engineering / QA experience in modern software products, with demonstrable depth in both manual and automation (not one bolted onto the other).\n\nExperience designing test cases, test plans, and test strategies for non-trivial systems - covering happy paths, edge cases, negative scenarios, integrations, and non-functional risks.\n\nExperience building and maintaining automated test suites in production-grade CI environments, with hands-on framework decisions and ownership of flakiness, reliability, and reporting.\n\nStrong experience with at least one modern UI automation tool (Playwright, Cypress, Selenium, Appium, or equivalent) and at least one API testing approach (Postman, REST clients, or automated API frameworks such as RestAssured, Supertest, Pytest+requests, or similar).\n\nWorking knowledge of test case management tools (Qase, TestRail, Xray, Zephyr, or similar) and bug tracking tools (Jira, Linear, Asana, or similar).\n\nCI/CD fluency: comfortable wiring automated tests into pipelines using GitHub Actions, GitLab CI, Jenkins, or similar; understands quality gates, parallelization, and reporting.\n\nScripting/programming proficiency in at least one of JavaScript/TypeScript, Python, Java, or equivalent-sufficient to write, debug, and refactor automation code without dependency on engineers.\n\nSolid understanding of software testing fundamentals: risk-based testing, equivalence partitioning, boundary analysis, exploratory testing techniques, and regression strategy.\n\nStrong release readiness mindset: ability to define quality gates, run release validation, and make confident go/no-go calls backed by evidence.\n\nExcellent written and spoken English; comfortable working in fully remote, distributed teams.\n\nSenior judgment: ability to operate autonomously, challenge unclear requirements, prioritize by risk, and own outcomes without micromanagement.\n\n AI-first working style: hands-on, daily use of AI tools (Claude, Cursor, Copilot, or similar) to accelerate test design, automation, debugging, and documentation - with the judgment to know when to trust the output and when not to.\n\nWhat this person will own and do day-to-day \nQuality Ownership and Test Strategy\nOwn end-to-end quality for the products and features in your scope. Define test strategies based on product risk, release goals, and business impact - not generic checklists. Influence quality upstream by reviewing requirements and designs to surface ambiguity, edge cases, and testability issues early. Identify non-functional risks (performance, security, accessibility, data integrity) and ensure they're addressed or escalated.\nManual QA and Exploratory Testing\nRun structured exploratory sessions guided by risk and user personas. Cover what automation can't yet: complex flows, visual checks, new feature shakedowns, third-party integrations. Document findings clearly: reproducible steps, environment, expected vs. actual, severity, impact. Act as a user advocate during pre-release validation.\nTest Case Design and Documentation\nDesign test cases covering happy paths, edge cases, negative scenarios, role/state transitions, integrations, and relevant non-functional risks. Maintain traceability to requirements, acceptance criteria, and product risks. Build and maintain smoke tests, regression suites, and release checklists as living assets.\nAutomation QA\nDesign, implement, and maintain automated suites across UI, API, and integration layers. Decide what to automate based on stability, ROI, and risk - and what not to. Keep flakiness under control; contribute to the framework itself (utilities, fixtures, test data, reporting).\nDefect Management and Quality Reporting\nTriage, prioritize, and track defects to resolution with clean hygiene (title, severity, repro, environment, and links). Produce concise, release-quality reports: what was tested, what wasn't, known risks, and recommendations. Surface trends and turn them into actionable improvements.\nRelease Readiness and Quality Gates\nOwn release validation: smoke, regression, environment checks, sign-off criteria. Define and enforce quality gates for staging, UAT, and production. Coordinate with DevOps on hotfixes, rollback, and post-release monitoring. Make confident go/no-go calls backed by evidence.\nPerks\nMonthly USD Service Fee\n20 business days of paid Agreed Time Off-Annual + 6 Local Holidays\nCaregiver Time Off\nA dynamic remote work culture. You can work from anywhere!\nAn entrepreneurial environment.\nAbout us\n In 2010, our founders dreamed up a company that could positively impact the world. Since then, we've been in permanent evolution: from business consulting to innovation and design, and now to building amazing digital products powered by AI. We scaled globally, launched AI Labs and Reshape Studios, and claimed our space as an AI consulting firm - helping organizations move from pilots to production through accountable AI. Today, we're expanding our impact across industries, driving real AI adoption through accountability, governance, and value at scale. 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