Physical Security, Technical Solutions Consultant, GSRS Google - 4.3 Boulder, CO Job Details Full-time $152,000 - $221,000 a year 1 day ago Benefits Paid holidays Disability insurance Health insurance Dental insurance Paid time off Parental leave Vision insurance 401(k) matching Qualifications AI models Data Integration (Data management) System troubleshooting Software implementation Enterprise solutions implementation AI platforms (beyond public GPTs) Enterprise software systems development SQL System design for system development Machine intelligence Model deployment Application design Developing large-scale AI models System deployment Machine learning (ML) fundamentals Production troubleshooting Database software proficiency Full Job Description The application window will be open until at least August 26, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

Health, dental, vision, life, disability insurance

Retirement Benefits:

401(k) with company match

Paid Time Off:

20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

Sick Time:

40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

Baby Bonding Leave:

18 weeks

Holidays:

13 paid days per year

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Austin, TX, USA; Chicago, IL, USA; New York, NY, USA; Seattle, WA, USA .

Minimum qualifications:

Bachelor's degree or equivalent practical experience. 5 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in Python, Go, Java, or other modern backend languages. Experience designing, building, and maintaining data pipelines using SQL, and managing production infrastructure. Experience developing and deploying enterprise solutions leveraging machine learning and artificial intelligence, with a focus on Large Language Models (LLMs).

Preferred qualifications:

Master's degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. Experience writing and reviewing production-ready code in a distributed environment. Experience in managing applications in Google Cloud Platform. Experience with Google Agent Development Kit Platform. About the job As a Technical Solutions Consultant for the Global Security Systems and Technology (GSST) Applied Data and AI Solutions, you will work with partner teams within Global Security and Resilience Services (GSRS) to deliver technical solutions to make Google more secure and more efficiently run. You will define development and configuration management processes and drive the development of a line of solutions to cater to the needs of stakeholders internal to GSRS. You will work with Technical Program Managers (TPMs) to gather requirements and Data Engineers to source data from a variety of physical security systems (first-party and third-party), delivering a variety of solutions to automate business processes within GSRS. From keeping Googlers safe and secure to managing disruptive events, the ability to anticipate, deter, detect, and act are the pillars of Google's Global Security and Resilience Services (GSRS) team. As a member of GSRS you will help develop a culture where safety, security and resiliency are integrated into every facet of Google, including the creative process. You will help us continually identify, evaluate and monitor enterprise risks that could affect business activities and provide business leaders the information they need to make critical decisions. You'll collaborate with cross-functional teams to create innovative strategies and develop programs that drive sustainable effectiveness. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US:

$152000 - $221000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Develop and manage applications/AI agents using Google Cloud or production resources in compliance with company security policies and guidelines. Leverage AI/ML to improve efficiency of workflows. Deploy, debug, and maintain technical solutions across the development life-cycle, ensuring high standards in system configuration and issue resolution. Author technical documentation and participate in collaborative design and code reviews. Define configuration management standards and steward private data with a strict focus on privacy and security. 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 Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.