The application window will be open until at least September 6, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.

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 with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, or natural language processing.

Preferred qualifications:

• Experience with large systems software design and development, with extensive knowledge of Unix/Linux.

• Experience with parallel/distributed computing and with modern API technologies.

• Experience in distributed and parallel systems, machine learning, information retrieval, natural language processing, networking, developing large software systems, or security software development.

• Experience building both self service adopted products and enterprise ready products

• Experience building Google scale products, whether at Google or with other large cloud providers

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.

Apigee Application Programming Interface (API) Management is a comprehensive API gateway solution handling billions of API calls weekly. It empowers businesses to design, develop, protect, track, and monetize APIs, regardless of their hosting environment – be it on-premises, Google Cloud Platform, or any other cloud platform.

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 (https://careers.google.com/benefits/) .

• Architect and design scalable, reliable, and high-performance ML infrastructure solutions catering to diverse customer needs. Drive best practices adoption and utilize cutting-edge technologies to enhance platform performance and security.

• Provide technical leadership, mentoring, and foster innovation within the engineering team. AI/ML adoption across the organization, fostering enthusiasm, expertise, and leading initiatives. Offer technical expertise during critical incidents and complex problem-solving for high customer satisfaction.

• Establish AI/ML best practices, conduct design reviews, and build scalable, high-performance solutions.

• Collaborate with product managers to define Apigee's Advanced API Security product roadmap for AI/ML features, ensuring successful delivery. Collaborate with internal/external teams to drive innovation, providing guidance on leveraging Google's AI/ML models and APIs.

• Monitor industry trends and emerging technologies, proactively integrating them into our product offerings and processes.

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.