Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
5 years of experience in software development.
5 years of experience with AI/ML/Full-stack.
Experience in languages such as Java, C, Go, Python, or full-stack development.
Preferred qualifications:
Experience with ML algorithms and tools (e.g. TensorFlow).
Experience with AI, deep learning, or natural language processing.
Ability to ramp up and learn quickly in a technically complex domain.
Ability to collaborate well within and outside the team.
Google Public Sector's Sovereign Mission Solutions team is a group of passionate engineers dedicated to helping organizations leverage the power of Google Cloud technologies. We build products that provide automation, repeatable patterns, and intelligent insights through advanced data analytics and Generative AI. We believe a problem isn’t truly solved until it’s solved for all, and we strive to create opportunities for everyone through innovative technology.This position requires that the applicant selected be eligible to obtain, and/or currently possess and maintain an active US Government Top Secret/Sensitive Compartmentalized Information (TS/SCI) security clearance with polygraph. The position further requires the applicant will obtain a commensurate clearance for each government agency for which they perform GPS work. Failure to maintain (or obtain, if applicable) the appropriate U.S. Government clearance and/or customer screening requirements that results in the employee unable to perform the requirements of the role, may result in employment action up to and including terminationGoogle Public Sector (https://about.google/intl/ALLus/public-sector/#::text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.) brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.The US base salary range for this full-time position is $161,000-$239,000 + 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 for new hire 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 (https://careers.google.com/benefits/) .
Develop prototypes and build front-ends and back-ends for greenfield projects.
Work with GPS Sovereign Engineering and Google Distribute Cloud Engineering to survey existing pain points, and propose solutions and improvements.
Participate in and lead architecture and engineering designs with peers and stakeholders, and exercise technical judgment (e.g. deciding between available technologies).
Review code and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency).
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
