Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of experience in software development, and with data structures/algorithms.
5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.5 years of experience building and developing infrastructure, distributed systems, or networks.Experience with compute technologies, storage, or hardware architecture.
Preferred qualifications:Master's degree or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field.Experience with collaboration and leadership across software and hardware teams.Experience in C+ or Python, with a good understanding of concurrent Object Oriented Programming and Functional Programming.
Experience in concurrency, parallelism, synchronization, consistency, events, scheduling, communications, and overhead in software and hardware systems.Experience in storage systems, analytics systems (including data warehouses), databases, distributed query processing, or low-level software. About the job Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate.
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.In this role, you will have the opportunity to find the perfect blend of software design practices, modeling, and performance analysis work that informs the system architecture and design of Google systems. You will solve complex problems including but not limited to hardware acceleration, performance bottlenecks, system hierarchies, concurrency, computer organization, and whole-stack co-design and optimizations.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them.
We keep our networks up and running, ensuring our users have the best and fastest experience possible.The US base salary range for this full-time position is $189,000-$284,000 + 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. Responsibilities Manage System Architecture and design for future platforms and Google services.
Develop engineering driven methodology to inform the system architecture and design of database/analytics systems deployed in Google data centers.Analyze performance for deployed platforms to understand and mitigate performance bottlenecks.Design, develop, test, deploy, maintain, and improve software systems.
Manage individual project priorities, deadlines, and deliverables
