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Night Shift Google Data Center Engineer Jobs in San Francisco, CA

Data Center Technician

San Francisco, CA · On-site

$70K - $120K/yr

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... Data Center Technician We are looking for a highly motivated individual with hardware and ...

Data Center Technician

San Francisco, CA · On-site

$70K - $120K/yr

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... Data Center Technician We are looking for a highly motivated individual with hardware and ...

Data Center Technician

San Francisco, CA · On-site

$70K - $120K/yr

Data Center Technician We are looking for a highly motivated individual with hardware and ... You'll help support the delivery of cutting edge technologies and act as the foundational engineer ...

Data Center Operations Manager

San Francisco, CA · On-site

$196.80K/yr

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... shift arrangement and hardware logistics - Fast learn or act as the subject matter expert across ...

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in ... Position Overview Introl is seeking experienced Data Center Technicians to join our team as hourly ...

Principal, Data Center Development

Oakland, CA · On-site +1

$160K - $230K/yr

Principal, Data Center Development Oakland, CA or Remote Full-time Energy is the binding constraint ... We're expanding our team of ambitious, curious, and hands-on engineers and operators who want to ...

... Google Data Studio . * Collect, clean, and structure large datasets to ensure accuracy and ... Collaborate with product managers, engineers, and marketing teams to provide data-driven insights

About the Role We are seeking an experienced and highly technical Data Center Security Engineer to help secure the infrastructure behind OpenAI's rapidly expanding data center footprint. This is a ...

Data Analyst

San Francisco, CA · On-site

$104K - $184K/yr

... Google Data Studio . * Collect, clean, and structure large datasets to ensure accuracy and ... Collaborate with product managers, engineers, and marketing teams to provide data-driven insights

Data Center Project Manager *

Walnut Creek, CA · On-site

$137.80K/yr

Data Center Project Manager HDR is currently seeking a Data Center Project Manager to join one of ... This person will work closely with the Regional Building Engineering Services Business Group ...

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Night Shift Google Data Center Engineer information

See San Francisco, CA salary details

$60.7K

$173.7K

$232.1K

How much do night shift google data center engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for night shift google data center engineer in San Francisco, CA is $173,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $230,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Night Shift Google Data Center Engineer, and why are they important?

To thrive as a Night Shift Google Data Center Engineer, you need a solid background in IT infrastructure, hardware troubleshooting, and data center operations, often supported by a relevant degree or certifications like CompTIA Server+ or Cisco CCNA. Familiarity with monitoring tools, ticketing systems, and standard operating procedures for server maintenance is essential. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for managing critical systems and collaborating with remote teams during off-hours. These skills ensure uptime, security, and operational efficiency in a 24/7 data center environment.

What are some unique challenges faced by Night Shift Google Data Center Engineers, and how can new hires prepare for them?

Night Shift Google Data Center Engineers often encounter challenges such as troubleshooting urgent technical issues with limited onsite support and maintaining consistent communication with daytime teams across different time zones. Adapting to a non-traditional work schedule can also impact work-life balance and requires effective time management. New hires can prepare by familiarizing themselves with remote collaboration tools, developing strong documentation habits, and establishing routines to support their physical and mental well-being during overnight hours.

What does a Night Shift Google Data Center Engineer do?

A Night Shift Google Data Center Engineer is responsible for maintaining, troubleshooting, and optimizing the operations of Google’s data center facilities during overnight hours. Their duties include monitoring server performance, responding to hardware and network issues, performing routine maintenance, and ensuring data security and uptime. They work closely with other technical teams to resolve incidents quickly and keep the data center running efficiently around the clock. These engineers play a crucial role in ensuring Google’s services remain available to users worldwide, even outside of regular business hours.

What is the difference between Night Shift Google Data Center Engineer vs Night Shift Data Center Technician?

AspectNight Shift Google Data Center EngineerNight Shift Data Center Technician
CredentialsRelevant technical certifications, engineering degree often preferredTechnical certifications, associate degree or equivalent experience
Work EnvironmentLarge Google data centers, high-tech infrastructureVarious data centers, hardware-focused environment
Employer & IndustryGoogle, tech industryMultiple companies, IT and telecommunications sectors
Job FocusDesign, troubleshooting, and maintaining complex systemsHardware installation, repairs, and routine maintenance

The Night Shift Google Data Center Engineer typically involves more technical design and troubleshooting responsibilities within Google's high-tech data centers, requiring specialized engineering skills. In contrast, the Night Shift Data Center Technician focuses on hardware maintenance and repairs. Both roles operate during night shifts and require technical knowledge, but the engineer role generally demands higher-level certifications and a broader scope of responsibilities.

What are popular job titles related to Night Shift Google Data Center Engineer jobs in San Francisco, CA? For Night Shift Google Data Center Engineer jobs in San Francisco, CA, the most frequently searched job titles are:
What job categories do people searching Night Shift Google Data Center Engineer jobs in San Francisco, CA look for? The top searched job categories for Night Shift Google Data Center Engineer jobs in San Francisco, CA are:
What cities near San Francisco, CA are hiring for Night Shift Google Data Center Engineer jobs? Cities near San Francisco, CA with the most Night Shift Google Data Center Engineer job openings:
Data Center Technician

Data Center Technician

Hive

San Francisco, CA • On-site

$70K - $120K/yr

Full-time

Posted 4 days ago


Job description

About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Data Center Technician
We are looking for a highly motivated individual with hardware and facilities operations experience to be part of our growing team. Our Hive machine learning systems run on our own data centers with hybrid emphases on high-performance GPU and AWS resources. The scope of your responsibility will include maintaining Hive's existing data centers as well as building out future centers as we commercialize our machine learning models and continue to grow our enterprise SaaS offerings.
As a Data Center Technician at Hive, you'll act as an essential part of our team to install, configure, test, troubleshoot, repair and maintain the hardware and server software that allows all of our powerful AI solutions to run. You'll help support the delivery of cutting edge technologies and act as the foundational engineer for our engineering teams by keeping infrastructure centers up and in optimal working. While this job will require manual movement and lifting of heavy equipment, you will be uniquely able to work closely with infrastructure that is at the cutting-edge of the growing AI industry. Our ideal candidate will thrive in unstructured environments and take pride in their infrastructure and its performance.
Responsibilities
  • Install and upgrade data center equipment racks, including but not limited to switches, routers, monitoring systems and other large scale networking gear
  • Monitor, audit, and perform ongoing diagnostics, maintenance, and/or decommissioning on existing and new data center servers and network infrastructure
  • Maintain integration and deployment tooling
  • Participate in on-call rotation and root cause analysis as needed to respond to server, network, and hardware issues as they arise
  • Maintain an inventory and event logs of data center processes
  • Complete assigned tickets to uphold tight SLA's and respond to requests in a timely manner
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority

Requirements
  • Associate's Degree or equivalent practical experience and knowledge of various Linux Distros
  • Minimum 3-5 years of experience in data center environments, operations, IT, or related fields
  • Ability to work long and/or on-call shifts that may include evenings/nighttimes, weekends, and/or holidays
  • Ability to physically lift equipment at least 50 pounds
  • Exceptional attention to detail and ability to troubleshoot intricate terminal systems, swap out failed components, and repair servers (discrete/rack-based)
  • Knowledge of the installation of software and firmware updates, OS, PXE
  • Familiarity with RAID, SAN, x86 architecture, Command Line Interface, Boot Processes, GRUB/LILO, File Systems, network device and protocol configuration
  • RMA processing and coordination with the Logistics Team
  • Handle storage media/Data Bearing Device (DBD) Reconcile/Physical Audits
  • Flexibility to travel to various data centers as needed
  • Excitement and passion for the exciting field of AI and machine learning!

Preferred Qualifications
  • Applicable certifications: CompTIA (Server+, Network+) or CCNP
  • Networking: TCP / IP, ICMP, SSH, DNS, HTTP, SSL / TLS, Storage systems, RAID, distributed file systems, NFS / iSCSI / CIFS
  • Core OS Services: SSH, telnet, FTP, NFS, DNS, DHCP, LDAP
  • Experience with NVIDIA GPU linux software stack
  • Configuration Management - Chef
  • Version Control - Github
  • Containerization - Docker
  • Container Orchestrators - Mesosphere/Kubernetes
  • Virtualization - QEMU/KVM
  • Network hardware - Arista/Cisco/Fortinet

Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $70,000 to $120,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.