
51 - 200 employees
Founded 2004
🤝 B2B
👥 HR Tech
B2B • Consulting • HR Tech
3Core Systems, Inc. is an SAP Silver Partner specializing in the delivery of integrated Digital HR solutions. The company focuses on optimizing SAP SuccessFactors for HR organizations, helping them solve immediate pain points while transforming their business objectives to achieve key performance indicators (KPIs). 3Core Systems provides a range of services including implementation, project management, consulting, and application management support, tailored to improve the efficiency of HR processes and enhance overall performance.
🕒 2 days ago
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51 - 200 employees
Founded 2004
🤝 B2B
👥 HR Tech
B2B • Consulting • HR Tech
3Core Systems, Inc. is an SAP Silver Partner specializing in the delivery of integrated Digital HR solutions. The company focuses on optimizing SAP SuccessFactors for HR organizations, helping them solve immediate pain points while transforming their business objectives to achieve key performance indicators (KPIs). 3Core Systems provides a range of services including implementation, project management, consulting, and application management support, tailored to improve the efficiency of HR processes and enhance overall performance.
• Define the AI vision and architecture for the testing function. • Identify testing activities that can be improved with AI, including: test case generation, test data creation, automated test maintenance, defect prediction, root cause analysis, log and failure analysis, requirements-to-test traceability, risk-based test prioritization, intelligent regression selection. • Design and implement AI-enabled frameworks for: functional testing, API testing, UI automation, performance testing, security testing support, exploratory testing augmentation. • Partner with QA, developers, DevOps, product managers, and data teams to embed AI into CI/CD and quality engineering workflows. • Evaluate and recommend AI/ML, GenAI, and test automation tools. • Establish standards for AI governance, privacy, security, explainability, and responsible usage in testing. • Create architecture for integrating LLMs, test repositories, defect systems, observability tools, and CI platforms. • Define metrics to measure the effectiveness of AI in testing, such as: defect leakage, automation coverage, test execution efficiency, flaky test reduction mean time to diagnose failures, release quality trends. • Mentor QA engineers and SDETs on AI-assisted testing practices. • Lead pilots, proofs of concept, and scaled rollout of AI testing capabilities. • Ensure compliance with enterprise policies for data handling and model usage.
• 8-10 yrs experience. • Bachelor’s degree and 8+ years of experience. • 8+ years in software testing, QA automation, quality engineering, or test architecture. • 3+ years designing or implementing AI/ML or GenAI-based solutions in enterprise environments. • Strong understanding of: software testing methodologies, test automation frameworks, SDLC/STLC, CI/CD pipelines, Quality Engineering Practices. • Hands-on experience with tools/languages such as Python, Java, JavaScript, SQL, and test tools like Selenium, Playwright, Cypress, Appium, JUnit, TestNG, PyTest, or similar. • Experience integrating with platforms such as Jira, Azure DevOps, GitHub, Jenkins, GitLab, or cloud test platforms. • Knowledge of test analytics, data pipelines, and observability/log analysis tools. • Strong architecture and design skills for scalable, secure enterprise solution.
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities
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