Google

Google

Software Engineering Manager II, Intelligence Systems

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🌍Mexico City, CDMX, Mexico
11h ago
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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 with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end including JavaScript or TypeScript, HTML, CSS or equivalent.
  • 3 years of experience in a technical leadership role; overseeing projects.
  • 2 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 3 years of experience working in a complex organization.
  • Experience in Machine Learning (ML) model coding languages (e.g. Python).
  • Experience in content safety or threat intelligence, as applied to software products.
  • Experience in responsible AI or safety-adjacent fields such as factuality or product policy.

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.

With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.

Intelligence Systems provides solutions to anticipate and discover novel threats to Google’s products and users that exploit gaps in product features and policies. Our team combines unique subject matter expertise in understanding fresh content along with our production-grade experience in serving infrastructure and product integrations to protect users from harm, maintain Google’s competitiveness in the area of online safety across the industry, and do our part to make the internet as a whole safer for society at large.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

  • Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. 
  • Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. 
  • Develop the mid-term technical goals and roadmap within the scope of the teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs. 
  • Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems. 
  • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
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