Job Summary:
We are seeking an experienced and highly motivated Test Engineer to ensure the quality, reliability, and continuous improvement of business-critical applications through robust test planning, execution, and automation. In this role, you will define and maintain test scenarios and cases aligned to requirements, execute system, integration, and regression testing across environments, and collaborate closely with product owners, business analysts, developers, and other testers to deliver high-quality releases. You will contribute to continuous improvement of test processes, tooling, and reporting, and support release readiness by providing clear visibility on test results, defects, and risks. You will also use AI-assisted testing tools and generative AI to enhance productivity, accelerate test design and automation, improve defect analysis, and strengthen quality outcomes. We are looking for someone with hands-on experience applying AI capabilities in quality engineering and a strong understanding of responsible AI principles, including data privacy, fairness, accessibility, and explainability. You will be handling Personally Identifiable Information (PII) which requires adherence to applicable data privacy, security, and compliance standards of respective markets.
ResponsibilitiesKey duties and responsibilities:
You will design test strategies, plans, and cases aligned to requirements and risk.
You will execute system, integration, regression, and exploratory tests across environments.
You will develop and maintain reusable automated tests within CI/CD pipelines.
You will collaborate with product, business, and engineering teams to ensure testable requirements and reliable releases.
You will log, triage, retest, and close defects with clear evidence, impact, and traceability.
You will use AI-assisted testing tools and generative AI to accelerate test design, automate coverage, improve defect analysis, and streamline reporting and documentation.
You will help evaluate and integrate AI-powered quality capabilities such as intelligent test generation, anomaly detection, predictive risk analysis, or self-healing automation.
You will report quality status, defects, and release risks to stakeholders with clear recommendations.
You will follow secure testing practices and requirements for handling PII, including responsible AI considerations for privacy, fairness, accessibility, and explainability.
Required experience & competencies
- 5+ years of quality engineering or software testing experience.
- Test Design & Execution: Strong experience creating test plans, cases, scripts, traceability, and end-to-end validation across system, integration, and regression testing.
- Automation & Tooling: Experience with automated testing for UI and APIs, integrating tests into CI/CD pipelines, and maintaining reliable automation suites.
- Defect & Quality Management: Ability to manage the defect lifecycle, produce quality metrics, and communicate risks and release readiness clearly.
- Data & API Validation: Experience validating backend data with SQL and testing REST/SOAP APIs and cross-service integrations.
- AI-Assisted Testing: Proven experience using AI-assisted software development or testing tools and workflows to improve testing productivity and quality outcomes.
- Generative AI Enablement: Demonstrated ability to apply generative AI to improve test design, test data creation, automation development, defect analysis, and reporting.
- Responsible AI: Solid understanding of responsible AI principles, including data privacy, fairness, accessibility, and explainability in quality engineering practices.
- Enterprise AI Integration: Hands-on experience evaluating or integrating AI-powered quality capabilities through APIs, SDKs, or platform services.
- Security & Privacy Mindset: Understanding of secure testing basics and careful handling of PII and regulated test data.
- Nice-to-Haves: Playwright or similar automation tools; familiarity with performance testing concepts and tooling; exposure to cloud-hosted test environments; and experience with intelligent test generation or self-healing automation.
As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.
Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.
As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.
Skills Required
- 5+ years of quality engineering or software testing experience
- Experience creating test plans, test cases, scripts, traceability, and end-to-end validation for system, integration, and regression testing
- Experience with automated UI and API testing, CI/CD integration, and maintaining automation suites
- Ability to manage defect lifecycles, produce quality metrics, and communicate risks and release readiness
- Experience validating backend data with SQL and testing REST/SOAP APIs and cross-service integrations
- Proven experience using AI-assisted software development or testing tools and workflows
- Demonstrated ability to apply generative AI to test design, test data creation, automation, defect analysis, and reporting
- Understanding of responsible AI principles, including data privacy, fairness, accessibility, and explainability
- Hands-on experience evaluating or integrating AI-powered quality capabilities through APIs, SDKs, or platform services
- Understanding of secure testing basics and handling PII and regulated test data
- Experience with Playwright or similar automation tools
- Familiarity with performance testing concepts and tooling
- Exposure to cloud-hosted test environments
- Experience with intelligent test generation or self-healing automation
What We Do
SCOR, one of the world’s largest reinsurers, serves more than 5,000 clients worldwide, providing a diversified and innovative range of solutions to control and manage risk. SCOR delivers advanced financial solutions, analytics and services across all dimensions of risk in Life & Health, Property & Casualty, and Investments. Reinsurance lies at the intersection of technical expertise and scientific progress. Models, data, and pricing and reserving tools are essential, yet they are never sufficient on their own. Sound risk decisions require expert judgment, experience and perspective. This is what we call the Art and Science of Risk. Reinsurance is a knowledge industry, where expertise grows through accumulation, transmission and practice. Across the Group, 3,600 experts based in more than 35 offices worldwide contribute to this collective intelligence. Actuaries, underwriters, risk management specialists, and Tech & Data experts transform data into insight, explore extreme scenarios, define the boundaries of insurability and help anticipate emerging risks. Together, they strengthen the resilience of SCOR, our clients and the societies we serve. This expertise is built through shared experience,continuous questioning and collective reflection. Like artists, we belong to schools of thought, learning first to observe, then to replicate, and ultimately to innovate. This ongoing transmission of knowledge enables SCOR to develop a distinctive approach, combining rigor, creativity and long-term vision in the service of risk mastery. This shared commitment underpins SCOR’s role as a global reinsurer. By turning risk into resilience and sustainable value, our collective of experts acts with responsibility and purpose. Together, we help protect the future, and shape it, for our clients, for society and for generations to come.








