Job Description

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• Experience in developing front-end, back-end or full stack applications and applying AI/ML in automation or data analytics use cases.
• Experience in developing infrastructure and tools to streamline and scale operational workflow.
• Understanding of device ecosystems and products.
• Ability to address and navigate technical and product issues and manage ambiguity while working in a changing environment.
• Excellent multitasking and communication skills.

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 Google’s 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.

As a Software Engineer in this new Systems Development Lifecycle (SDLC) organization within Android Platform and Pixel software, you will be instrumental in building the software solutions in guiding SDLC efficiency, such as project and resource planning tools, data lake and reporting platform, or next generation of testing infrastructure service and platform.

Your role will involve enhancing organizational efficiency and the quality of Android and Pixel software by building user-friendly tools and scalable infrastructure. You will develop AI-powered software features integrated with a data analytics platform to deliver valuable business insights. You will join our multidisciplinary team of UX designers, Technical Program Managers (TPgMs), Product Managers (PMs), Data Analysts, and Software Engineers on building a solution from the ground up.

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

• Design and develop Software Development Life Cycle (SDLC) business platforms and tools that oversee the android platform and pixel software feature life-cycle, spanning design, planning, development, testing, release, and support.
• Use AI and ML features to optimize software functionalities and guide users throughout the software development life-cycle, with the goal of improving product quality, resource utilization, and release velocity.
• Design and develop a data lake infrastructure/data platform with integrated AI/ML services to enable data-driven insights and decision-making capabilities.
• Design and develop AI functionalities during the planning, testing, and product release phases.
• Collaborate with product management, UI/UX, android feature development, test, technical program management, and release teams to identify and resolve workflow and process inefficiencies. Develop and implement best practices and processes to drive continuous improvement.