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Senior Software Engineer, Google Cloud AI

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.

About the job:

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. 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’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. 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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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:

  • Write and test product or system development code.
  • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
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Average salary estimate

$205000 / YEARLY (est.)
min
max
$166000K
$244000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Software Engineer, Google Cloud AI, Google

Are you ready to take your career to the next level? At Google Cloud AI in Kirkland, Washington, we’re searching for a talented Senior Software Engineer to join our dynamic team. This role is perfect for someone who thrives on tackling innovative challenges and developing cutting-edge technologies. You will have the opportunity to work on projects that directly influence the way billions of users connect and interact with information. In this position, your responsibilities will include writing and testing code, conducting design reviews, and collaborating with engineers to implement best practices. We are looking for someone with at least five years of experience in software development and a strong understanding of algorithms and data structures. If you have a master’s degree or PhD in a related field, that would be a bonus! As a versatile engineer, you’ll be contributing not just to the design and architecture but also participating in the full software lifecycle—from conception through deployment. The culture at Google emphasizes teamwork and innovation, so you won’t just be tackling projects in isolation. Instead, you’ll engage in vibrant discussions with peers while keeping your leadership skills sharp. With compensation ranging from $166,000 to $244,000, plus bonuses and equity, we ensure that your hard work pays off too. Join us to be part of a team that's at the forefront of technology in transforming how businesses approach digital challenges. Let’s change the world together at Google Cloud AI!

Frequently Asked Questions (FAQs) for Senior Software Engineer, Google Cloud AI Role at Google
What are the main responsibilities of a Senior Software Engineer at Google Cloud AI?

As a Senior Software Engineer at Google Cloud AI, your primary responsibilities include designing and developing new software products, writing and testing code, conducting design reviews, and providing invaluable feedback on peer code to ensure best practices. You'll be involved in troubleshooting issues and collaborating with teams to ensure quality throughout the software lifecycle. Your role will also enable you to influence key architectural decisions and be an integral part of innovative project advancements.

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What qualifications do I need to apply for the Senior Software Engineer position at Google Cloud AI?

To qualify for the Senior Software Engineer position at Google Cloud AI, you need at least a Bachelor’s degree or equivalent practical experience, along with five years of software development experience in programming languages and a strong grasp of data structures and algorithms. Experience in testing, maintaining, or launching software products is essential, alongside at least one year of software design and architecture experience. A master's degree or PhD in Computer Science is favorable and having technical leadership experience will set you apart.

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What is the work culture like at Google Cloud AI for a Senior Software Engineer?

The work culture at Google Cloud AI is vibrant and collaborative, encouraging engineers to bring their creativity and technical expertise to the table. As a Senior Software Engineer, you’ll experience a flexible environment where teamwork and open communication are prioritized. The culture emphasizes innovation, allowing you to explore new ideas while being part of a dynamic team that is passionate about pushing technology forward.

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How does Google Cloud AI support professional development for Senior Software Engineers?

At Google Cloud AI, professional development is taken seriously. As a Senior Software Engineer, you will have access to various training programs, workshops, and opportunities for mentorship that can significantly boost your skills and career progression. Continuous learning is part of the culture, and you’ll be encouraged to pursue growth through challenging projects and diverse roles within the company.

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What type of projects will a Senior Software Engineer be working on at Google Cloud AI?

As a Senior Software Engineer at Google Cloud AI, you’ll be involved in projects that focus on developing technologies that enhance user interaction and address critical business challenges globally. You will work on scalable systems, artificial intelligence applications, and products that leverage Google’s advanced technology to solve real-world problems. Each project presents unique challenges that will enable you to grow and expand your technical repertoire.

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Common Interview Questions for Senior Software Engineer, Google Cloud AI
Can you describe a challenging software project you've worked on?

When answering this question, focus on a specific project where you faced significant challenges. Discuss the technologies used, your role in overcoming obstacles, and the impact your contributions had on the project’s outcome. Make sure to highlight your problem-solving skills and adaptability.

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How do you ensure quality in your software development?

To effectively answer this question, talk about your approach to coding standards, testing protocols, and code reviews. Provide examples of practices you follow to maintain high-quality standards, such as implementing unit tests, peer reviews, and proper documentation techniques.

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What is your experience with distributed systems?

Provide a detailed explanation of any projects you’ve worked on that involved distributed systems. Discuss the technologies used, architectural decisions made, and any specific challenges you faced. Demonstrating a thorough understanding of distributed computing principles will be crucial.

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Can you explain a time you had to resolve a conflict within your team?

When discussing conflict resolution, choose a specific instance where you successfully navigated a disagreement. Showcase your communication skills, ability to empathize with team members, and result-oriented approach to finding a resolution. This demonstrates your teamwork and leadership qualities.

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How do you stay updated with the latest technologies and advancements in your field?

Highlight the resources you utilize, such as blogs, online courses, tech conferences, and professional networks. Mention any communities or forums you participate in that help you stay on top of industry trends and how this knowledge has influenced your work.

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Describe your experience with agile methodologies.

Explain your familiarity with agile practices, including participation in scrums, sprint planning, or retrospectives. Share any specific experiences where agile methodologies led to improved team dynamics or project outcomes.

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What programming languages are you most comfortable with, and why?

List the programming languages you excel in, and provide reasons for your proficiency in them. Relate your expertise to the requirements of the Senior Software Engineer role, showcasing your breadth of knowledge in languages relevant to the position.

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How do you approach learning a new programming language or technology?

Describe your method of acclimating to new technologies. Discuss practical steps, such as building small projects, utilizing online resources, or attending workshops, and how you apply these learnings to real-world scenarios in your work.

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How do you prioritize your projects and tasks?

Explain your prioritization strategy, focusing on how you assess project scope, deadlines, and team resources. Provide examples of tools or methods you use to track progress and ensure that you deliver high-quality work on time.

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What role do you believe a software engineer plays in the design phase of a project?

Discuss the importance of the software engineer's perspective in the design process. Highlight how engineers contribute insights on technical feasibility, system architecture, and user experience to shape the project effectively.

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679 jobs
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BADGES
Badge Diversity ChampionBadge Future MakerBadge Global CitizenBadge InnovatorBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Take Risks
Collaboration over Competition
Growth & Learning
Transparent & Candid
Customer-Centric
Social Impact Driven
Rapid Growth
Passion for Exploration
Dare to be Different
Reward & Recognition
Friends Outside of Work
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Conferences Stipend
Bias Training
Employee Resource Groups
401K Matching
Paternity Leave
Maternity Leave
Some Meals Provided
Social Gatherings
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 4, 2025

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