QA

Job Description

Our client is evolving from a traditional Quality Assurance model to a modern Quality Engineering organization. The QA Engineer will play a critical role in driving this transformation by embedding quality practices throughout the Software Development Life Cycle (SDLC) rather than relying solely on end-of-cycle testing. This position is responsible for ensuring quality across Sagicor's core business platforms that application development designs, develops and maintains, The ideal candidate combines strong software engineering and testing expertise with modern AI-enabled development practices. This individual will work closely with developers, architects, business analysts, and product owners to identify defects early, improve code quality, automate testing, and establish engineering-driven quality standards.

This role supports our clients strategic initiative to adopt a Shift-Left Quality Engineering model, where testing, validation, and quality controls are integrated into design, development, and deployment activities. The position will serve as a key contributor in advancing AI-assisted quality engineering and modern software delivery practices across the organization.

Skills and Requirements

Bachelor's degree in Computer Science, Information Technology, Software Engineering, or related discipline. Equivalent experience will be considered. 5+ years of experience in Quality Engineering, Software Engineering, Test Automation, or related technical roles. Experience testing enterprise applications and distributed systems. Experience supporting Agile software delivery teams. Experience working within CI/CD environments. Experience with test automation frameworks such as Playwright, Selenium, Cypress, JUnit, TestNG, or equivalent technologies. Experience with API testing and automation tools such as Postman, Swagger/OpenAPI, REST Assured, or SoapUI. Experience with test management platforms such as Jira, Xray, Zephyr, TestRail, or Azure DevOps. Experience integrating automated testing into CI/CD platforms such as GitHub Actions, Jenkins, Azure DevOps Pipelines, or Bitbucket Pipelines. Experience using application monitoring and observability platforms such as Splunk, Dynatrace, AppDynamics, ELK, or equivalent technologies. Experience with performance and load testing tools such as JMeter, k6, Gatling, or LoadRunner. Experience using AI-assisted engineering tools such as GitHub Copilot, Microsoft Copilot, or other approved AI technologies. Working knowledge of programming languages such as Java, C#, JavaScript, or TypeScript. Experience with life insurance and annuity business processes, including sales, new business, underwriting, policy administration, claims, billing, commissions, or related functions. Experience supporting enterprise application enhancements, system integrations, reporting solutions, data conversions, or vendor-delivered platforms. Familiarity with requirements and work-management tools used to manage user stories, acceptance criteria, defects, and delivery documentation. Familiarity with AI-assisted development and productivity tools, prompt-design techniques, retrieval-grounded research, or low-code automation platforms.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].