Senior Software Engineer Google Public Sector Cloud Infrastructure jobs at Google
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Bachelor's degree or equivalent practical experience.
2 years of experience with software development in C++ or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Experience working with large datasets in SQL.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures or algorithms.
Experience with machine learning model and infrastructure development.
Experience coding in Java or Python.
Experience developing accessible technologies.
Knowledge in the Ads domain (e.g., search, display, video, or shopping).
Bachelor’s degree in Telecommunications, Electrical Engineering, or a related field or equivalent practical experience.
5 years of experience with embedded programming in Python or C++.
Experience in image processing, computer vision, or computational imaging development.
Preferred qualifications:
Master's or PhD degree in Computer Science, Image Processing or Electrical Engineering, or a related field.
3 years of relevant industry experience in image quality, computational imaging or mobile camera engineering.
Experience in image quality evaluation for mobile devices.
Experience developing ML based image quality evaluation protocols.
Experience with automatic imaging tuning related development and technology.
Experience in end-to-end imaging system tuning and quality evaluation including imaging hardware, image signal processing and post-processing imaging algorithms.
Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C or C++ programming languages, or 1 year of experience with an advanced degree in an industry setting.
2 years of experience working with embedded operating systems.
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with performance, systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience with low-level hardware interaction.
Proficiency in code and system health, diagnosis and resolution, and software test engineering.
Bachelor’s degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
5 years of experience in a customer-facing role working with stakeholders, driving customer technical implementations or transformation programs.
Experience supporting customers in cloud operations (e.g., launch or capacity planning, product release management), technical support, escalation management, or IT consulting.
Preferred qualifications:
MBA or Master’s degree in a Management, Technical, or Engineering field.
Experience translating business requirements into technological solutions.
Experience in application or workload migration to public cloud providers.
Experience collaborating with teams, groups, business units, channel partners, systems integrators, and third-party developers to deliver solutions.
Understanding of IT operations, database systems, networking, IT security, application development, service architecture, cloud-native application development, hosted services, storage systems, or content delivery networks.
Excellent written and verbal communication, presentation, problem-solving, and client management skills.
Bachelor's degree or equivalent practical experience.
2 years of experience with software development in C++ or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Experience working with large datasets in SQL.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures or algorithms.
Experience with machine learning model and infrastructure development.
Experience coding in Java or Python.
Experience developing accessible technologies.
Knowledge in the Ads domain (e.g., search, display, video, or shopping).
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