We are looking for an experienced System QA & Automation Lead with strong expertise in software validation and test automation, particularly within cloud-native architectures and telecommunications networks. As an individual contributor, this technical leadership role is responsible for defining and driving end-to-end testing strategies for the Core Management System, covering both functional and non-functional domains. The ideal candidate will bring proven technical leadership, exceptional analytical skills, and a strong track record of developing scalable, high-quality test and automation frameworks for modern microservices-based platforms. Experience in continuously advancing testing capabilities through agentic AI-driven automation frameworks is highly desirable. Design and drive product-level testing strategies that align with both technical requirements and business objectives.Architect scalable test platforms and automation frameworks for cloud-native, microservices-based systems, with a focus on efficiency, reliability, and maintainability.Translate complex customer, product, and system requirements into comprehensive test strategies, detailed test designs, and executable test plans.Lead software subsystem integration and end-to-end system validation activities to ensure seamless functionality, performance, and quality across the solution.Identify, analyze, and address testing gaps, quality risks, support issues, and performance bottlenecks throughout the development and validation lifecycle.Collaborate closely with customers, product management, architecture, and engineering teams to ensure testing priorities are aligned with overall product strategy and delivery goals.Act as a subject matter expert in quality engineering, mentoring teams on modern testing methodologies, driving resolution of critical customer escalations, and championing continuous improvement through advanced automation and AI/agentic testing frameworks within agile environments. You HaveEngineering Degree with 12+ years of experience in software testing, quality engineering, and test automation.Strong expertise in test architecture and quality assurance for cloud-native, microservices-based, highly scalable distributed systems.Proficiency in Python, Go, and/or C++ for automation development, with hands-on experience in Linux environments and modern cloud-native technologies including Docker, Kubernetes, Helm, Envoy, CI/CD pipelines, and DevOps toolchains.Demonstrated experience in designing, implementing, and executing test strategies for highly scalable, resilient, and reliable systems, supported by strong debugging, troubleshooting, and root-cause analysis skills. Solid understanding of database testing, observability frameworks, monitoring systems, and telemetry-driven validation practices.Proven ability to lead and influence cross-functional teams, deliver high-quality outcomes in fast-paced agile environments, and communicate effectively with technical and business stakeholders.Hands-on experience leveraging Agentic AI and AI-assisted engineering tools to enhance testing effectiveness, automation coverage, development productivity, and overall engineering efficiency.Nice to HaveExperience in NMS/EMS testing, including interoperability and observability testing, with validation of databases, gRPC-based services, APIs, and open-source integrations.Experience in the Core Network Signaling domain (4G/5G mobile core networks)