{"id":2867008,"url":"https://alion.io/job/arionkoder-qa-lead-latam-based","title":"QA Lead (LATAM based)","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":"2026-10-22T06:10:10Z"}},"role":"QA","role_family":"QA","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["AR","BR","CO","MX","AI","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN","LC"],"hiring_countries_total":48,"salary":null,"salary_estimate":null,"experience_years_min":7,"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":"Confluence","optional":false},{"name":"Cursor","optional":false},{"name":"Cypress","optional":false},{"name":"Datadog","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"JavaScript","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"JMeter","optional":false},{"name":"k6","optional":false},{"name":"Linear","optional":false},{"name":"LLM","optional":false},{"name":"Locust","optional":false},{"name":"New Relic","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"Playwright","optional":false},{"name":"Postman","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Rest-Assured","optional":false},{"name":"Selenium","optional":false},{"name":"Sentry","optional":false},{"name":"Slack","optional":false},{"name":"SQL","optional":false},{"name":"Supertest","optional":false},{"name":"TestRail","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-10-19T15:28:03Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-22T14:52:07Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"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 Quality Lead experienced in leading quality efforts - not only for their own testing output, but for the team achieving its quality objectives. This is a hands-on leadership role: you remain a practicing quality engineer, equally comfortable designing manual and exploratory test scenarios as writing and maintaining automated suites in CI, while also setting the quality direction, planning the work, and creating the conditions for others to do their best work.\nThe QA Lead is the primary quality reference. You define the quality strategy for the products in scope, make or facilitate the key quality decisions, keep visibility over what everyone is working on, surface risks and blockers early, and ensure no significant quality risk stays invisible. You do not need to be the deepest expert in every tool or layer you understand how the pieces fit together and ensure the team's work follows a coherent quality vision.\nYou 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 - and you push that way of working into the team. You also own quality for LLM-powered features (assistants, RAG, agents, etc.) where “pass/fail” is a judgment you have to operationalize through evals: curated datasets, graded criteria, baselines, and regression thresholds.\nThis is not a role for someone who waits for tickets to be marked \"ready for QA\", nor for someone who leads only from a spreadsheet. We need a lead who challenges unclear requirements, asks the uncomfortable questions early, coaches others to do the same, and treats production confidence as a team deliverable - measured in fewer surprises in production, faster releases, and a stronger quality culture across the teams you work with.\nKey Responsibilities:\nLeadership and Team Accountability:\nBe accountable for the team achieving its quality objectives - providing direction and fostering ownership, not doing everything yourself.\nMaintain visibility into what each team member is working on, how they are approaching it, and where support is needed.\nIdentify blockers, risks, and deviations early, and adjust the quality plan when circumstances change.\nPlan and distribute quality work across the team: scope, sequencing, ownership, and realistic effort estimates.\nEnsure quality decisions are made at the right level with the right people; delegate where possible and resolve issues when the team cannot reach a conclusion.\nCreate an environment where team members participate in decisions, challenge ideas, take responsibility, and develop autonomy.\nEvaluate team members against the expectations of their role and seniority; provide actionable feedback and meaningful growth opportunities.\nImprove the team's quality practices, tools, processes, and ways of working by turning experience and feedback into practical changes.\nQuality Strategy and Direction\nEstablish and communicate a coherent quality vision for the products in scope; ensure individual decisions and implementations fit together.\nDefine test strategies based on product risk, release goals, and business impact - not generic checklists.\nInfluence quality upstream by reviewing requirements and designs to surface ambiguity, edge cases, and testability issues early.\nIdentify non-functional risks (performance, security, accessibility, data integrity) and ensure they are addressed or escalated with clear owners and mitigation plans.\nDefine and maintain the team's quality standards: definition of done, bug hygiene, coverage expectations, documentation.\nManual QA and Exploratory Testing\nRun and lead structured exploratory sessions guided by risk and user personas.\nCover what automation can't yet: complex flows, visual checks, new feature shakedowns, third-party integrations.\nDocument findings clearly: reproducible steps, environment, expected vs. actual, severity, impact - and hold the team to the same bar.\nAct as a user advocate during pre-release validation.\nTest Case Design and Documentation\nDesign and review test cases covering happy paths, edge cases, negative scenarios, role/state transitions, integrations, and relevant non-functional risks.\nMaintain traceability to requirements, acceptance criteria, and product risks.\nBuild and maintain smoke tests, regression suites, and release checklists as living, team-owned assets.\nAutomation QA\nGuide the automation approach: framework, layers, structure, test data, reporting - and contribute to it hands-on.\nDecide what to automate based on stability, ROI, and risk - and what not to; make that reasoning explicit so the team can apply it.\nKeep flakiness under control as a team-level metric, not an individual annoyance.\nReview automation work from others and raise the bar through review and pairing.\nDefect Management and Quality Reporting\nOwn defect triage and prioritization across the team; keep hygiene clean (title, severity, repro, environment, links).\nProduce concise release quality reports: what was tested, what wasn't, known risks, recommendations.\nCommunicate quality status, trade-offs, progress, and risks clearly to technical and non-technical stakeholders.\nSurface trends and turn them into actionable improvements.\nRelease Readiness and Quality Gates\nOwn release validation: smoke, regression, environment checks, sign-off criteria.\nDefine and enforce quality gates for staging, UAT, and production.\nCoordinate with DevOps on hotfixes, rollback, and post-release monitoring.\nMake confident go/no-go calls backed by evidence, and stand behind them.\nAI-Augmented QA\nUse AI tools daily to accelerate test case generation, exploratory charters, automation, defect triage, and reporting.\nApply judgment to every AI-assisted output - treat AI as a force multiplier, not a shortcut.\nEstablish how the team uses AI in quality work: what is accelerated, what is always human-reviewed.\nRequired Qualifications:\nMandatory:\n7+ years of professional Quality Engineering / QA experience in modern software products, with demonstrable depth in both manual and automation (not one bolted onto the other).\n2+ years leading a QA effort or a team - owning the quality objective for a product or team, planning and distributing work, unblocking others, and being the quality reference people escalate to. Formal line management is not required; demonstrated leadership accountability is.\n5+ years designing test cases, test plans, and test strategies for non-trivial systems - covering happy paths, edge cases, negative scenarios, integrations, and non-functional risks.\n4+ years building and maintaining automated test suites in production-grade CI environments, with hands-on framework decisions and ownership of flakiness, reliability, and reporting.\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).\nWorking knowledge of test case management tools (Qase, TestRail, Xray, Zephyr, or similar) and bug tracking tools (Jira, Linear, Asana, or similar).\nCI/CD fluency: comfortable wiring automated tests into pipelines using GitHub Actions, GitLab CI, Jenkins, or similar; understands quality gates, parallelization, and reporting.\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.\nSolid understanding of software testing fundamentals: risk-based testing, equivalence partitioning, boundary analysis, exploratory testing techniques, regression strategy.\nStrong release readiness mindset: ability to define quality gates, run release validation, and make confident go/no-go calls backed by evidence.\nPlanning and estimation: ability to clarify scope, validate assumptions, identify uncertainty, and produce realistic quality plans and estimates with a team.\nCoaching and feedback: ability to evaluate others' work against role expectations and give actionable, direct feedback.\nStakeholder communication: ability to explain quality status, risks, and trade-offs clearly to technical and non-technical audiences, including clients.\nExcellent written and spoken English; comfortable working in fully remote, distributed teams.\nSenior judgment: ability to operate autonomously, challenge unclear requirements, prioritize by risk, and own outcomes without micromanagement.\nAI-first working style: hands-on, daily use of AI tools (Claude, Cursor, or similar) to accelerate test design, automation, debugging, and documentation with the judgment to know when to trust the output and when not to.\nPreferred:\nExperience building or scaling a QA function: hiring, onboarding, defining career expectations, or standing up a QA practice from scratch.\nExperience contributing to or building a QA playbook or organization-wide quality standards.\nExperience leading quality in a client-facing or consulting context, where quality status and trade-offs must be defended to an external stakeholder.\nPerformance and load testing experience (k6, Locust, JMeter, or similar) and the ability to design realistic load scenarios.\nSecurity testing awareness: OWASP Top 10, injection patterns, authentication/authorization edge cases.\nSQL for data validation; comfort reading logs and traces to debug failures past the UI layer.\nFamiliarity with observability tooling (Datadog, New Relic, Grafana, Sentry, or similar) for production quality feedback loops.\nExperience working with enterprise integrations (GitHub, Jira, Slack, Confluence) and validating contract behavior between systems.\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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