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Job Details
Posted date: Aug 23, 2024
There have been 2 jobs posted with the title of Software Engineering Manager III, BigQuery Core Analytics all time at Google.Location: Kirkland, WA
Level: Director
Estimated salary: $287,000
Range: $237,000 - $337,000
Description
Guide and mentor a team of engineers, recruit and onboard new talent, promote a collaborative work environment.Define project roadmaps, manage project execution, monitor progress and report to stakeholders.
Architect and implement automation solutions, ensure high availability and scalability, optimize system performance.
Implement security best practices and manage access and permissions.
Identify opportunities for improvement and foster a culture of innovation.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $237,000-$337,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Qualifications
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).
5 years of experience in a technical leadership role, overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
Experience with Data Analytics and Generative Artificial Learning/Machine Learning (AI/ML).
Preferred qualifications: Master's degree or PhD in Computer Science or related technical field.
5 years of experience working in a matrixed organization.
Experience with databases, data warehousing, information retrieval, or SQL. Knowledge of Python, Big Query
Extended 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).
5 years of experience in a technical leadership role, overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
Experience with Data Analytics and Generative Artificial Learning/Machine Learning (AI/ML).
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