Software Test Engineer Specialist (Contract)

LRN is the world’s leading dedicated ethics and compliance SaaS company, helping more than 30 million people every year navigate complex regional and global regulatory environments and build ethical, responsible cultures. With over 3,000 clients across the US, EMEA, APAC, and Latin America—including some of the world’s most respected and successful brands—we’re proud to be the long-term partner trusted to reduce organizational risk and drive principled performance.

Named one of Inc Magazine’s 5000 Fastest-Growing Companies, LRN is redefining how organizations turn values into action. Our state-of-the-art platform combines intuitive design, mobile accessibility, robust analytics, and industry benchmarking—enabling organizations to create, manage, deliver, and audit ethics and compliance programs with confidence. Backed by a unique blend of technology, education, and expert advisement, LRN helps companies turn their values into real-world behaviors and leadership practices that deliver lasting competitive advantage.

The Software Test Engineer Specialist will be responsible for designing and implementing comprehensive test procedures to ensure that software products behave as intended and meet quality standards before release. The role includes contributing to test strategy, driving quality initiatives, and leveraging modern automation and Agentic AI–based testing approaches.

• →Thorough knowledge of testing activities such as Test Planning, Test Execution, Testing Processes, Testing Tools, and Testing Methodologies (Functional, Regression, System, Integration, Content Testing, etc.). Able to define and articulate the test strategy and review it with Development and Product/Program Management for alignment and approval. Prepares detailed test estimates and project schedules.
• →Test software and system changes scheduled for delivery to LRN customers.
• →Participate in and provide critical feedback during requirements, functional, and technical specification walkthroughs.
• →Drive long-term group quality strategy that aligns with the overall business and IT goals. Communicate strategies, methodologies, and tools to team members, project teams, program management, and partner groups.
• →End-to-end ownership and accountability for Functional, Integration, System, Regression, Performance, and AI-driven automated testing for assigned applications.
• →Lead the implementation of continuous improvement initiatives, including new tools, intelligent automation frameworks, and Agentic AI–based test generation and execution. Monitor progress toward business goals/SLAs and adjust assignments as necessary.
• →Ensure timely and accurate reporting, tracking, debugging, validation, and closure of defects uncovered during testing.
• →Demonstrate strong collaboration with project teams to ensure alignment with business goals.
• →Proactively escalate issues, risks, and status updates to Leads and communicate impacts to the team.
• →Utilize Agentic AI frameworks to auto-generate test scenarios, perform autonomous exploratory testing, detect anomalies, accelerate regression coverage, and optimize test pipelines.

• Bachelor’s degree with 5–6 years of experience in a software organization focused on testing, including at least 5+ years in automation testing.
• Strong knowledge of SDLC and STLC processes.
• Mandatory hands-on experience with Selenium automation tool.
• Strong expertise in functional and automated testing, test strategy and planning, writing detailed test cases, and deep technical understanding.
• Working knowledge of SQL, relational database systems, and related methodologies.
• Proven experience with QA processes and documentation (QA Checklists, Test Cases, Test Plans).
• Excellent hands-on expertise with Selenium and Postman.
• Working knowledge of at least one programming language—preferably Java, Python, Perl & Typescript..
• Experience in MCP, Agentic AI frameworks or tools (e.g., Playwright, autonomous test agents, AI-driven test case generation, LLM-based validation, self-healing automation frameworks).
• Ability to integrate AI models into QA workflows to improve coverage, accuracy, and speed.
• Knowledge of Learning Management Systems (LMS) and the e-Learning domain with content development experience is a plus.