Senior Director Quality Engineering (Automation) Mobileum

15.0 - 19.0 years

0 Lacs

karnataka

On-site

Mobileum is a leading provider of Telecom analytics solutions for roaming, core network, security, risk management, domestic and international connectivity testing, and customer intelligence. With over 1,000 customers relying on its Active Intelligence platform, Mobileum connects deep network and operational intelligence with real-time actions to increase revenue, improve customer experience, and reduce costs. Headquartered in Silicon Valley, Mobileum has a global presence with offices in Australia, Dubai, Germany, Greece, India, Portugal, Singapore, and the UK, employing over 1800 professionals. As part of the Mobileum team, you will be joining a successful organization that recognizes the value of its team members. Currently, we are looking for a Senior Director QE Automation to lead and manage our Quality Engineering (QE) and Automation teams. In this role, you will oversee quality, risk management, and automation strategies for core network technologies. Your responsibilities will include leading a team of Senior Software Development Engineers in Test (SDETs) and collaborating with cross-functional teams to ensure system performance, security, and scalability. Your expertise in backend tools, frameworks, DevOps, and core network technologies will be crucial in maintaining the reliability and efficiency of our systems. The ideal candidate for this leadership role should be a hands-on leader with advanced test automation strategies, including leveraging AI-powered testing tools to ensure secure, scalable, performant, and reliable systems. You should possess deep expertise in quality engineering, core telecom protocols, and emerging trends in AI-led QA innovation. Promoting a culture of automation-first, risk-awareness, and high-quality software delivery will be essential. Roles & Responsibilities: - Lead and scale a high-performing QE organization, fostering ownership, collaboration, and continuous improvement. - Architect and evolve automation strategies integrating AI/ML-driven testing solutions. - Partner with cross-functional teams to embed quality into all stages of the software development life cycle. - Design and extend scalable automation frameworks for various systems with an emphasis on test reusability and intelligence. - Drive test data management strategies to simulate realistic production scenarios and enhance the reliability of automated tests. - Apply advanced testing techniques to validate system behavior under extreme conditions. - Utilize expertise in telecom protocols to develop and validate network-specific test strategies. - Evaluate and onboard next-gen automation tools and platforms, including AI-based tools. - Integrate test automation with CI/CD pipelines and DevSecOps workflows. - Lead a metrics-driven quality culture using key performance indicators. - Guide QA strategy and planning for new product areas and features. - Deliver clear, actionable reporting on test results, defects, and quality risks. Desired Profile: - 15+ years of software quality engineering experience with leadership roles in telecom, cloud, or analytics-driven product companies. - Proven ability to design and scale test automation solutions using modern programming languages and tools. - Hands-on experience with AI-enabled QA platforms or autonomous testing tools. - Deep expertise in telecom network protocols and implications on testing. - Knowledge of big data, streaming platforms, cloud-native testing, and infrastructure automation. - Experience in driving shift-left testing practices and integrating quality within agile and DevOps environments. - Passion for leveraging AI, analytics, and telemetry for predictive QA. Nice to Have: - Experience with AI/ML product testing or data validation pipelines. - Contributions to open-source testing frameworks or QA communities. - Experience in multi-tenant SaaS environments with complex data privacy requirements. - Familiarity with model-based testing, synthetic monitoring, or chaos engineering practices. Work Experience: 15+ years Educational Qualification: BE. / B.Tech., M.E./M. Tech. or M. Sc. in Computer Science or related field Location: Bangalore,

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