{"id":3517968,"url":"https://alion.io/job/fineos-senior-test-engineer","title":"Senior Test Engineer","company":{"id":56790,"name":"FINEOS","domain":"fineos.com","url":"https://alion.io/company/fineos","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"QA","role_family":"QA","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":11000,"max_usd":28000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":35},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"AWS","optional":true},{"name":"Cucumber","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"Gradle","optional":true},{"name":"Jenkins","optional":true},{"name":"JMeter","optional":true},{"name":"JUnit","optional":true},{"name":"Locust","optional":true},{"name":"New Relic","optional":true},{"name":"Playwright","optional":true},{"name":"Postman","optional":true},{"name":"Pytest","optional":true},{"name":"Rest-Assured","optional":true},{"name":"Selenium","optional":true},{"name":"SonarQube","optional":true},{"name":"SQL","optional":true},{"name":"TestNG","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-10-30T11:10:37Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-30T21:35:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Summary\nThe Platform team is a distributed team, primarily based in Dublin, Ireland. We build application software and features for the FINEOS AdminSuite, together with the infrastructure, frameworks, tooling, and technology that support FINEOS applications and our cloud-hosting service.\nThis role sits within a team dedicated to AI-powered capabilities for the FINEOS AdminSuite, and the frameworks and tooling that support them.\nAs a Senior Test Engineer, you will join this team to test AI services, validate their integration with the core platform, and expand automated test coverage across the AI product portfolio, working within a cross-functional scrum team operating in a SAFe framework.\nYou will be responsible for testing AI/ML-driven features end-to-end - from model service outputs through to their consumption within the FINEOS Suite - ensuring accuracy, reliability, consistency, and compliance. Testing will combine automation and manual techniques aligned to best practices and the test pyramid. You will use AI-powered engineering tools to improve your own productivity and testing workflows.\nSuccessful candidates will be strong in Python with Java experience a plus, have a solid quality engineering mindset, and be keen to work in a collaborative, agile environment tackling the unique testing challenges that AI-powered systems present.\nResponsibilities (Other duties may be assigned)\nWork within a Scrum team to ensure successful delivery, based on definition of done for features and user stories.\nAttend daily Scrum meetings, regular retrospectives, sprint demonstrations, and PI planning events.\nParticipate and contribute to regular innovation-focused cycles.\nParticipate within the wider Test Community of Practice and attend regular discussions and presentations related to QA.\nTest analysis and design based on feature documents, technical specifications, and solution designs.\nTest AI services for functional accuracy, reliability, edge cases, response consistency, and failure handling.\nValidate the integration between AI services and the FINEOS AdminSuite platform, ensuring data flows correctly and features behave as expected end-to-end.\nAddress AI-specific testing challenges including hallucinations, prompt variations, inconsistent outputs, safety, privacy, and edge-case behaviour.\nDesign and execute test cases covering functional, integration, regression, end-to-end, exploratory, and non-functional testing.\nDevelop and maintain automated tests using existing frameworks, extending them as needed to support new AI-driven capabilities.\nIntegrate automated tests into CI/CD pipelines, owning the test stages and ensuring reliable, repeatable execution.\nPerform manual testing using a mix of scripted and exploratory approaches where automation is not yet practical.\nTest web services and APIs (REST), validating request/response contracts, error handling, and performance characteristics.\nTroubleshoot defects and perform root cause analysis using application logs, metrics, and observability tooling, and recommend solutions or workarounds.\nProduce quality metrics including test coverage, defect reports, release readiness, and execution status.\nUse AI-powered tools to accelerate test case generation, automation development, test data creation, defect analysis, and documentation.\nLiaise with other Scrum Teams, Product Owners, Release Train Engineers, and architects to ensure successful delivery.\nProvide mentoring and guidance to team members.\nIdentify and implement improvements that enhance the test process and improve overall quality assurance practices.\nContribute to evolving strategies via inspect and adapt, communities of practice, and knowledge-sharing sessions.\nSupport release validation, regression testing, and production defect verification.\nEducation and/or Experience\nMinimum 5+ years' experience as a Test Engineer working with web-based applications, APIs, and integrations.\nExperience working in Agile methodologies, preferably SAFe.\nRelevant third-level qualification (BS/MS) or equivalent commercial experience.\nStrong programming skills - Python preferred, Java desirable. Solid understanding of object-oriented design principles is essential regardless of language.\nExperience with enterprise-scale applications and the full software development lifecycle.\nKnowledge, Skills, and Abilities\nStrong test analysis, test design, and troubleshooting skills, particularly for complex and non-deterministic systems.\nUnderstanding of AI/ML concepts sufficient to test AI-powered features effectively - awareness of how LLMs, document extraction, and ML models behave in production.\nUnderstanding of AI-specific testing challenges including hallucinations, prompt sensitivity, non-deterministic outputs, safety, and privacy concerns.\nAbility to design test strategies for systems where outputs are probabilistic rather than deterministic.\nAbility to critically review and validate AI-generated test cases, automation code, and documentation.\nExcellent written and verbal communication skills.\nAbility to multitask, use initiative, and work to tight deadlines.\nAbility to work independently with minimal supervision and take ownership of critical deliverables.\nStrong estimation, analytical, and problem-solving skills.\nPassion for continuously learning and adopting emerging AI technologies in software quality engineering.\nInsurance or financial services domain experience is an advantage.\nTechnical Skills\nAutomated test design and development experience, preferably in Python and/or Java.\nExperience with UI automation frameworks such as Selenium WebDriver or Playwright.\nExperience testing REST APIs using Postman, RestAssured, or similar tools.\nExperience with test frameworks such as pytest, pytest-bdd, JUnit, TestNG, or Cucumber.\nExperience with BDD testing approaches (e.g. pytest-bdd, Cucumber) is desirable.\nActive ownership of CI/CD pipeline test stages using tools such as Jenkins, Gradle, or similar.\nExperience using AI-powered tools to improve engineering productivity in day-to-day testing work.\nExperience with Git and modern code versioning practices.\nPractical knowledge of relational databases (e.g. Oracle, SQL Server) and ability to write SQL queries for test verification.\nBasic knowledge of NoSQL databases and data storage patterns is desirable.\nGeneral understanding of AWS cloud services and cloud-based testing strategies.\nFamiliarity with observability and monitoring tooling is desirable - New Relic for dashboarding, and AWS CloudWatch including writing CloudWatch Logs Insights queries.\nFamiliarity with containerisation (Docker) is desirable.\nExperience with code quality tools such as SonarQube is desirable.\nMulti-platform familiarity (Linux/Windows).\nExperience with non-functional testing approaches including load and performance testing (using Locust, JMeter, or similar tools) is desirable.\nExperience testing enterprise SaaS products is desirable.\nISTQB Foundation Level Certificate in Software Testing (or equivalent qualification) is desirable.\nAWS certification (e.g. Cloud Practitioner, Solutions Architect Associate) is desirable.\nLanguage Skills\nProficient in written and spoken English.\nTravel Requirements\nThis position does not require travel.\nLocation\nRemote - India\nWork Environment\nThe work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.\nEmployee works primarily in a home office environment.\nThe home office must be a well-defined work area, separate from normal domestic activity and complete with all essential technology including, but not limited to; separate phone, scanner, printer, computer, etc. as required in order to effectively perform their duties. \nWork Requirements\nCompliance with all relevant FINEOS Global policies and procedures related to Quality, Security, Safety, Business Continuity, and Environmental systems.\nMust be legally eligible to work in the country in which you are hired.\nFINEOS is an Equal Opportunity Employer. FINEOS does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. 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