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Engineering Manager, Android Application @ Consultancy

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 Engineering Manager, Android Application

Job Description

    Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role. Preferred qualifications: Experience managing software engineering teams. Experience with system design, large-scale distributed systems, and management. Experience in designing and launching large-scale distributed infrastructure or frontend tooling, and with anti-abuse and safety. Demonstrated ability to apply ML and genAI to real-world problems. Deep technical expertise and a proven track record in a technical leadership role leading project teams and setting technical direction. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Android Application Safety team is dedicated to protecting Android devices from malware, privacy violations, and content abuse. By leveraging AI and building infrastructure, the team identifies and addresses malicious code, harmful developers, and inappropriate content to ensure a secure Android ecosystem, while ensuring a delightful experience for good developers. Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology. Responsibilities Develop and implement AI-powered algorithms for application abuse detection. Design and maintain user-facing tools to facilitate human reviews and scalable enforcement infrastructure. Devise detection and enforcement strategies that consider developer experience and potential adversarial adaptations. Oversee teams responsible for building and maintaining infrastructure and detection mechanisms. Oversee teams responsible for building and maintaining infrastructure and detection mechanisms. Collaborate with other technical leads and leaders across sites to establish vision, strategy, and priorities. Attract and retain talent in our field. Manage and guide the execution of engineering teams. Mentor/Coach junior engineers in the team with career development and grow them as engineers. ,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Engineering Manager, Android Application

Contact Details:

Company: Google
Location(s): Other Karnataka

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Keyskills:   Python C Java JavaScript System Design Management Safety ML UI Design Mobile Development Artificial Intelligence Natural Language Processing

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