Quality Analyst
Company: Sapiens
Role summary
Quality Analyst is a full-time role at Sapiens in India (hybrid). Posted 2026-10-14. Experience level: 2-5.
- Job title
- Quality Analyst
- Company
- Sapiens
- Location
- India
- Work arrangement
- hybrid
- Employment type
- full-time
- Category
- Software Engineering
- Experience level
- 2-5
- Date posted
- 2026-10-14
Sapiens is seeking a Quality Analyst to join their Bangalore team, offering a fantastic opportunity to grow with a globally recognized company. This role provides a flexible hybrid work model, blending remote and in-office time for optimal balance.
Job description
Sapiens is on the lookout for a Quality Analyst to become a key player in our Bangalore team. If you're a seasoned Quality Analyst pro and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit.
Location: Bangalore
Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity.
The position will be part of Sapiens Property & Casualty Insurance for North America division, for more information about it, click here: https://sapiens.com/property-and-casualty-commercial-and-personal-lines/
The Quality Analyst validates business and system changes across insurance applications through disciplined manual testing, strong requirement interpretation, and reliable defect identification. This hands-on role improves release confidence and reduces production risk by translating requirements into effective, risk-aware coverage across user journeys, integrations, and data flows, while using Agile ways of working and approved AI-augmented tools to strengthen testing efficiency and software quality delivery.
• Design and execute manual test cases and end-to-end scenarios to validate business requirements, functional changes, and defect fixes across insurance applications.
• Translate UI flows, business rules, and written requirements into clear test conditions, expected results, and meaningful coverage across positive, negative, boundary, regression, and end-to-end scenarios.
• Perform functional, regression, integration, and system testing within QA environments to improve release readiness and reduce defect leakage.
• Participate in requirement reviews, clarification discussions, and issue resolution meetings to ensure requirements are testable and implementation-ready.
• Identify, log, document, and track defects with sufficient detail to support timely triage, resolution, and retesting, while maintaining clear test procedures, evidence, and supporting documentation.
• Perform basic to intermediate SQL-based validation and validate UI, API, client-server, and file/XML-based flows where applicable, particularly in insurance transaction and policy-processing scenarios.
• Conduct impact analysis for change requests and collaborate with Business Analysts, developers, architects, and QA peers to improve quality outcomes across the delivery lifecycle.
• Follow established testing standards, defect management practices, and quality gates within Agile or iterative delivery models while continuing to build domain knowledge, product understanding, and QA discipline.
• Use approved AI/LLM tools to expand test scenarios, generate test data ideas, refine validation logic, or accelerate defect triage, while always validating outputs for accuracy and business-rule alignment.
• Contribute to testing in cloud-hosted or SaaS-style environments by validating configuration-driven changes, environment-specific behaviour, and release impacts across Dev, Test, UAT, and Production-like setups.
Must Have Skills & Qualifications
Experience & Background
• 2–4 years of hands-on experience in manual testing of enterprise applications.
• Experience in insurance products or insurance technology platforms preferred; broader policy, claims, billing, life, health, or annuity exposure is valuable.
• Experience working on client-server or enterprise applications with end-to-end business process validation and exposure to Agile or iterative delivery environments.
Technical & Functional Skills
• Strong manual testing fundamentals across test design, regression, integration, and system testing, with the ability to convert business requirements into practical, risk-aware coverage.
• Strong analytical and problem-solving skills, with enough technical understanding to identify defects, validate data flows, and assess upstream/downstream impact.
• Basic to intermediate SQL skills for multi-table validation, along with familiarity with Jira, ALM, or similar defect and test management tools.
• Exposure to API validation tools such as Postman or SoapUI and the ability to work with XML or similar structured test artifacts where required.
• Good understanding of test evidence, traceability, defect documentation, and how changes affect integrations and user outcomes in enterprise systems.
AI-Related Expectations
• Use AI tools to generate or refine functional, edge-case, and negative test scenarios.
• Use AI support for test data ideas, SQL/query drafting, and early defect/log interpretation where appropriate.
• Validate AI-generated outputs for completeness, correctness, domain fit, hallucination risk, and business-rule alignment before using them.
• Follow approved privacy, security, and responsible-AI guidelines in all AI-assisted QA activities.
SaaS & Cloud Awareness
• Understanding of environment-based testing across Dev, QA, UAT, and Production-like setups.
• Awareness of SaaS delivery concepts such as configuration-driven change, release cadence, integration dependencies, and multi-environment validation.
• Basic familiarity with how cloud-hosted applications can affect test planning, data setup, and release verification.
Communication & Collaboration
• Strong verbal and written communication skills, with the ability to ask clear requirement questions, surface ambiguities early, and work effectively with business, product, development, and architecture stakeholders.
• Strong documentation discipline and the ability to communicate defects, risks, and test outcomes with clarity.
Education
• Bachelor’s degree in engineering, Computer Science, Information Technology, or a related field.
Personal Attributes
• Strong ownership mindset, disciplined execution, and structured problem-solving.
• Collaborative team player with a learning mindset who can balance rigor, speed, and practicality in a delivery environment.
Preferred / Good to Have
• Exposure to API testing, inst