{"id":695902,"url":"https://alion.io/job/siftwell-quality-assurance-qa-engineer","title":"Quality Assurance (QA) Engineer","company":{"id":687190,"name":"Siftwell","domain":"siftwell.ai","url":"https://alion.io/company/siftwell","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","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":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"ET","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":["Charlotte, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":160000,"max":175000,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"HIPAA","optional":false},{"name":"Playwright","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Selenium","optional":false},{"name":"SQL","optional":false},{"name":"Vitest","optional":false}],"status":"live","first_seen_at":"2026-09-03T20:20:26Z","employer_posted_date":"2026-09-03","last_verified_at":"2026-10-02T01:46:30Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"About Us\nSiftwell Analytics is a fast-growing company that combines healthcare operator expertise and artificial intelligence to equip managed care health plans with better insights to drive earlier and more precise health interventions for members. Siftwell was founded with a fundamental commitment to address the unique challenges faced by health plans, beginning with Medicaid, Marketplace, and Medicare plans, who are entrusted with the care of our most vulnerable and complex populations.\nAt Siftwell, we hire “Humble Killers” - individuals with a deep commitment to the mission, high ownership, and low ego. We are committed to providing a mutually respectful work environment where diversity and inclusion are critical to our success. We seek to recruit, develop, and retain talented professionals from a broad range of backgrounds, and to foster a culture where individuals can grow, contribute meaningfully, and thrive.\nAbout the Role\nSiftwell is seeking a Quality Assurance Engineer to help ensure the accuracy and reliability of our healthcare data and software products. Reporting to the VP of Engineering, you will build automated approaches to data validation that identify incomplete, inaccurate, inconsistent, or unexpected customer data.\nYou will also support Siftwell’s customer-facing analytics application by triaging and reproducing bugs, documenting findings, and equipping engineers to resolve issues efficiently. As our customer base grows, you will help establish scalable testing, validation, and issue-management practices.\nThis is a hands-on role for someone who brings curiosity, healthy skepticism, and high ownership to quality. You will look beyond whether the code ran successfully to determine whether the data inputs, outputs and customer experience make sense. Over time, you may also contribute to small engineering tickets, product enhancements, and other technical initiatives as needed.\nThis position is remote within the United States and operates primarily during U.S. Eastern Time business hours. Occasional travel may be required for company meetings and team events. Employment is contingent upon successful completion of a pre-employment background check.\nResponsibilities\nBuild and maintain automated validation processes for customer data inputs, transformations, and outputs.\n\nReplace manual checks and one-off scripts with repeatable, scalable, automated, and well-documented quality-assurance methods.\n\nIdentify data that is incomplete, inconsistent, inaccurate, or outside expected parameters and clearly communicate potential issues to the appropriate stakeholders.\n\nInvestigate discrepancies across source data, processing logic, and delivered outputs to determine where issues originate.\n\nDevelop and maintain test plans, test cases, regression tests, validation rules, and supporting documentation.\n\nPerform functional, integration, and regression testing for Siftwell software products and data pipelines.\n\nTriage, reproduce, document, and track software bugs reported by customers and internal stakeholders.\n\nTranslate loosely defined issue reports into clear, actionable tickets that enable engineers to diagnose and resolve problems efficiently.\n\nPartner with Engineering, Data Science, Product, and Customer Success to assess issue severity, clarify expected behavior, and support timely resolution.\n\nHelp establish and continuously improve Siftwell’s QA processes, tools, standards, and operating practices as the company and customer base grow.\n\nMonitor recurring defects and data-quality patterns, identify root causes, and recommend opportunities for greater automation or prevention.\n\nContribute to smaller engineering tickets, product enhancements, or technical projects based on team needs and individual interest.\n\nHandle protected health information and other sensitive data in accordance with Siftwell’s security, privacy, and compliance requirements.\n\nRequirements\nRequired:\nBachelor’s degree required plus a minimum of 5 years of relevant work experience; Master’s degree or relevant professional certification preferred.\n\nMinimum of 5 years of experience in software quality assurance, data quality, test engineering, or a closely related technical role, including testing data pipelines, analytics platforms, machine-learning products, or other data-intensive applications.\n\nExperience designing and implementing automated API, backend, and end-to-end application tests, data-validation frameworks, and repeatable QA processes.\n\nProficiency in Python or another scripting language used for testing, automation, and data validation, with working knowledge of SQL and relational databases.\n\nProficiency in automated unit and integration testing frameworks and tools, like Playwright, Selenium, Vitest, and pytest.\n\nExperience performing functional, integration, and regression testing, including reproducing, isolating, documenting, and communicating software defects.\n\nStrong analytical and problem-solving skills, with the judgment to look beyond whether code executed successfully and assess whether the underlying data and results make sense.\n\nHigh ownership, attention to detail, and strong communication skills, with the ability to work independently and collaborate effectively across technical, product, and customer-facing teams.\n\nPreferred:\nFamiliarity with software development practices, version control, and continuous integration and deployment workflows.\n\nExperience establishing or improving QA processes within a startup or growth-stage company.\n\nExperience working with healthcare data, protected health information, and HIPAA requirements, or within another regulated-data environment.\n\nInterest in expanding into broader software engineering responsibilities over time.\n\nApplication Timeline and Details\nWe anticipate the application window for this opening will close on: Oct 16th, 2026. Submission does not guarantee selection, and Siftwell reserves the right to modify or close the hiring process at any time.\nOnly shortlisted candidates will be contacted. All applications will be retained for future consideration.\nFor your security, Siftwell will only contact candidates through official company email addresses or authorized members of our hiring team. We will never request payment or financial information during the recruiting process.\nCandidates should be prepared to participate in a technical assessment as part of a multi-stage interview process.\nDisclosures\nLocation & Hiring Eligibility\nThis role is remote within the United States. We have an established presence in CO, FL, MA, MD, MN, NC, NJ, NY, PA, TN, and TX, and candidates in these states are encouraged to apply. If you're based elsewhere in the U.S., we'd still love to hear from you, we evaluate out-of-state candidates on a case-by-case basis.\nThis role operates primarily during U.S. Eastern Time business hours.\nSecurity Notice\nSiftwell will only contact candidates through official company email addresses or authorized members of our hiring team. We will never request payment or financial information during the recruiting process.\nBenefits Overview\nAt Siftwell, we hire Humble Killers - talented, mission-driven teammates who value impact, collaboration, and ownership. Our goal is to support that commitment through competitive pay, meaningful equity, and benefits that promote well-being, growth, and flexibility.\nFull-time Employment Opportunities include:\nComprehensive health, dental, and vision insurance\n\nShort-term disability coverage\n\n401(k) retirement plan with company matching\n\nUnlimited paid time off to rest and recharge\n\nOpportunities for ongoing professional development and learning\n\nBenefits may vary based on location and employment status.\n\nEqual Opportunity Statement\nSiftwell celebrates diversity and is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability status, veteran status, or any other characteristic protected by law.\nQualified applicants with arrest or conviction records will be considered in accordance with applicable laws, including the California Fair Chance Act.\nADA Accommodation Statement\nIf you require a reasonable accommodation during a selection process, please let us know through our general contact form or indicate this in your application.\nSecurity Requirements\nAdhering to the Company Security and Privacy Policies and the associated security standards\n\nMaintaining the security of the Information assets and resources to which they have been granted access\n\nEnsuring direct reports are aware of and adhere to Company Security and Privacy Policies\n\nEnsuring the security of information and managing risks to assets and resources owned by their functional area\n\nEnsuring that contractors, consultants, partners and other third parties under their sponsorship operate in compliance with Company policy\n\nMonitoring compliance related to business assets owned by their functional area and taking corrective action as necessary","description_format":"text","description_chars":9051,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Professional development","Retirement plans","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Charlotte","iso":null,"kind":"city"},{"name":"Florida","iso":null,"kind":"city"},{"name":"Texas","iso":null,"kind":"city"},{"name":"New Jersey","iso":null,"kind":"city"},{"name":"Pennsylvania","iso":null,"kind":"city"},{"name":"Maryland","iso":null,"kind":"city"},{"name":"Massachusetts","iso":null,"kind":"city"},{"name":"Minnesota","iso":null,"kind":"city"},{"name":"New York","iso":null,"kind":"city"},{"name":"North Carolina","iso":null,"kind":"city"},{"name":"Colorado","iso":null,"kind":"city"},{"name":"Tennessee","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical AI","Care Coordination & Population Health"],"lifecycle":[{"event":"open","at":"2026-09-11T01:56:48Z"}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.276,"p_room":0.35,"age_days":28,"expected_fill_days":7,"reasons":["conf:3","win:tail"],"computed_at":"2026-10-02T05:45:00Z"},"pay":{"stated_usd_annual":175000,"is_top_pay":true},"html_url":"https://alion.io/job/siftwell-quality-assurance-qa-engineer","json_url":"https://alion.io/job/siftwell-quality-assurance-qa-engineer.json","meta":{"generated_at":"2026-10-03T02:03:43Z","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":2209,"day_limit":5000,"remaining_today":2791,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}