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Overnight Google Software Engineer Jobs (NOW HIRING)

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Overnight Google Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do overnight google software engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for overnight google software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What unique challenges do Overnight Google Software Engineers typically face, and how can they effectively collaborate with global teams?

Overnight Google Software Engineers often work outside of regular business hours, which can lead to challenges such as limited real-time access to colleagues and support resources. However, they collaborate closely with global teams by leveraging asynchronous communication tools, detailed documentation, and regular handover updates. Proactively aligning with team members in different time zones and maintaining clear communication ensures project continuity and helps address issues quickly. This schedule can also provide opportunities to focus on deep work with fewer interruptions, contributing significantly to critical projects.

What does an Overnight Google Software Engineer do?

An Overnight Google Software Engineer works outside of standard business hours, typically during the night shift, to maintain and develop software systems at Google. Their responsibilities may include monitoring systems for issues, responding to incidents, deploying updates, and ensuring the reliability and security of Google's services during off-peak hours. They often collaborate with global teams to provide around-the-clock support. This role is critical for maintaining uptime and addressing urgent issues that may arise when regular day-shift engineers are unavailable.

What is the difference between Overnight Google Software Engineer vs Google Software Engineer?

AspectOvernight Google Software EngineerGoogle Software Engineer
Work HoursTypically overnight shifts, often 10-12 hoursStandard daytime hours, usually 9am-6pm
Work EnvironmentNight shift teams, quieter office or remote during nightDaytime office or remote work
CredentialsBachelor's or higher in CS, relevant experienceBachelor's or higher in CS, relevant experience
Industry UsageLess common, specific to certain projects requiring overnight coverageMost common, core engineering roles

Overnight Google Software Engineers work primarily during night hours, often on shift-based schedules, while Google Software Engineers typically work during standard daytime hours. Both roles require similar technical credentials and are integral to Google's operations, but the overnight position caters to specific project needs and offers a different work environment.

What are the key skills and qualifications needed to thrive as an Overnight Google Software Engineer, and why are they important?

To thrive as an Overnight Google Software Engineer, you need a strong background in computer science fundamentals, coding proficiency (especially in languages like Python, Java, or C++), and a relevant degree or equivalent experience. Familiarity with Google’s internal tools, cloud platforms (such as Google Cloud Platform), and version control systems like Git is typically expected. Excellent problem-solving abilities, effective communication, and the capability to work independently during off-hours are crucial soft skills. These competencies ensure efficient code delivery, maintain system reliability during night shifts, and enable seamless collaboration with global teams.
What cities are hiring for Overnight Google Software Engineer jobs? Cities with the most Overnight Google Software Engineer job openings:
What are the most commonly searched types of Google Software Engineer jobs? The most popular types of Google Software Engineer jobs are:
What states have the most Overnight Google Software Engineer jobs? States with the most job openings for Overnight Google Software Engineer jobs include:
Staff Software Engineer, AI/ML, Google Cloud

Staff Software Engineer, AI/ML, Google Cloud

Google

New York, NY • On-site

Full-time

Re-posted 14 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

40th of 209 rated software companies


Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Reston, VA, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.

Preferred qualifications:
  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in an organization involving cross-functional, or cross-business projects.

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. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.
  • Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.
  • Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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