Software Engineer Manager, Admin Access Platform, Dynamic Policy Engine

Set technical direction for the Admin Access Platform (AAP) Dynamic Policy Engine, including real-time access evaluation, federated domain management, and safe deployment tooling (e.g., Mendel A/B experiments), and help drive the overall AAP strategy.Provide management and technical leadership to a team of Software Engineers.Collaborate cross-team with partners, TLs, UX, PMs, TPMs, and security policy owners to translate complex security requirements into scalable technical outcomes.Communicate with stakeholders and leadership to develop Objectives and Key Results (OKRs) and roadmaps that align with company-wide mandates like Adaptive Shield and Agentic Security.Ensure best-practices in design, development, infrastructure, security, privacy, and software maintenance.Minimum qualifications:Bachelor’s degree or equivalent practical experience.8 years of experience in software development.3 years of experience in a technical leadership role; overseeing projects.Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.Experience in software engineering, software infrastructure engineering, security, Big Data and analytics, or cloud networking.Experience in data processing using traditional and distributed systems (e.g., Hadoop, Spark, Dataflow, Airflow) and algorithms (e.g., MapReduce, Flume), and building data pipelines (e.g., using Spark, Dataflow).Preferred qualifications:Experience programming in Java, C++, or Go.Experience developing distributed and parallel systems, networking, software systems, or security software.Experience building technical infrastructure.Experience leading through technical and organizational challenges.Experience leading collaborations in a distributed engineering organization.Ability to lead teams toward a shared technical goal.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.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree or equivalent practical experience.8 years of experience in software development.3 years of experience in a technical leadership role; overseeing projects.Experience designing, building, and operating large-scale distributed systems, with a focus on scalability, fault tolerance, and reliability.Experience in software engineering, software infrastructure engineering, security, Big Data and analytics, or cloud networking.Experience in data processing using traditional and distributed systems (e.g., Hadoop, Spark, Dataflow, Airflow) and algorithms (e.g., MapReduce, Flume), and building data pipelines (e.g., using Spark, Dataflow).