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Role description

Google Cloud DevOps Engineer

ID Privacy AI logoID Privacy AI
AI-native
TypeFull-time
SeniorityMid-level
LocationUnited States
Posted11/13/2026
Engineering

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Does being involved in engineering a fundamental evolution of the Internet get you excited to go to work? Do you care about consumer’s privacy online and want to work to improve it? If so, IDPrivacy is seeking a
devOps Engineer
to develop and maintain our operating environments on Google Cloud Platform.

Consumer privacy is top of mind in today’s advertising industry. Regulators worldwide are now forcing browser and other platform vendors to build in consumer privacy from the ground up. Firefox was the first to move. Then Apple created their privacy-preserving ad serving platform. Now it is Google’s turn. Google is in the middle of deprecating 3rd-party tracking cookies, one of the main ways consumers are identified, found and advertised-to online. As a result, an entire reengineering of browsers and the advertising platforms that run on them is occurring. These changes to both the browser- and server- side are literally a major overhaul of the wiring of the entire Internet as we experience it today.

IDPrivacy believes that consumer privacy is a right, not an option. We view the rewiring of AdTech platforms as an opportunity to look forward and create effective advertising platforms that are privacy-preserving from the get-go. At IDPrivacy, we are not beholden to the past. We don’t care how things have been done. What we are doing is looking to where online advertising will be five and even ten years from now and designing for that future. Alan Kay, a well-known computer scientist, once famously said “The best way to predict the future is to invent it.” That is exactly what we are trying to do at IDPrivacy.

Summary
The
Google Cloud devOps Engineer
is responsible for streamlining and automating various aspects of the software development process, including development, testing, and deployment. This role ensures continuous delivery and efficient updates of software. By integrating development and operations teams, the devOps engineer facilitates seamless collaboration, combining technical and IT operational responsibilities.

Main Tasks And Responsibilities

  • Introduce processes, tools, and methodologies to optimize the software development life cycle, covering coding, deployment, maintenance, and updates.
  • Apply or develop AI-based tools to allow fast, intelligent responses by the system and provide high effectiveness and efficiency in this role.
  • Collaborate cross-functionally with IT teams, including engineers and developers, focusing on coding, project management, and planning.
  • Ensure systems are secure against cybersecurity threats
  • Build and set up new development tools and infrastructure.
  • Understand stakeholder needs and communicate them to developers.
  • Automate and enhance development and release processes.
  • Test and review code written by others and analyze results.
  • Identify technical problems and develop software updates and fixes.
  • Work with developers to ensure adherence to established processes and intended functionality.
  • Participate in project planning and management decisions.
  • Identify production issues and implement solutions that meet customer requirements.
  • Develop software to integrate with internal back-end systems.
  • Create scripts to automate visualization.
  • Attend weekly project meetings, leadership calls, and external client calls as needed.
  • Perform other duties as assigned by the supervisor.

Required Qualifications

  • Bachelor’s degree in IT, Computer Science, Mathematics, or Engineering.
  • 3-5 years' experience with Google Cloud Platform. Google Cloud Certifications of any kind a plus and will be highly rated in the selection process.
  • A mentality of being an AI-based tool builder and tool user rather than a doer.
  • Proven experience in requirements elicitation and testing.
  • Strong teamwork and communication skills.
  • Proficiency in coding and scripting in JavaScript, especially node.js python, SQL. Knowledge of Elastic, ELK/ELF, NoSQL databases, data lakes/lakehouses, possibly Kafka or Django. Understanding of data pipelining and how pipelines are created/maintained.
  • Automation and security skills.
  • Familiarity with devOps and agile principles, with a strong focus on process improvement. Understanding application of AI for orchestration.
  • Strong problem-solving abilities.
  • Excellent organizational and time management skills, with the ability to handle multiple projects simultaneously.
  • Attention to detail.
  • Knowledge of data platforms, data technologies, SaaS, and DaaS.
  • In-depth knowledge of the company’s products and services.
  • Must have valid US identification for FTE roles.
  • Must be able to successfully pass a background screen test.

Specific Google Platform Skill Requirements

  • Vertex and other AI functions (algorithms, CoLab, etc.)
  • API Platform
  • Cloud Storage
  • Cloud Run
  • VPC Setup
  • IAM and Admin
  • GCP Security
  • Kubernetes

Compensation
Commensurate with skill level and geographical location.
Position Type
Contract with the option for full-time based on location.
About IDPrivacy
Tech Headquartered in Silicon Valley, IDPrivacy is dedicated to building a next-generation privacy-first platform for online advertising. IDPrivacy is led by top executives from the online advertising industry. We are thought leaders who welcome the changes to enhance consumer privacy that are occurring to browsers, mobile, CTV, and DOOH platforms. We help our customers navigate these changes and optimize their infrastructure to take advantage of the opportunities inherent in this major shift.

This job description in no way states or implies that these are the only duties and responsibilities to be performed by this employee. The employee will be required to follow any other instructions and to perform any other duties and responsibilities upon the request of a supervisor as he or she sees fit based on the growth and changes of the organization. This job description is subject to revision at the discretion of the company.
EEO Disclaimer: ID Privacy provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We affirm our commitment to fostering an inclusive and diverse workplace.
For W2 employees only: We are a drug-free workplace. Upon hire, you will be asked to complete a Pre-Employment Drug Screen, and a background check. Complying with a background check will not automatically disqualify a candidate from employment. We participate in E-Verify.
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Company info

ID Privacy AI logo

ID Privacy AI

ID Privacy is at the forefront of Private custom-model development for enterprises. Build fully Encrypted Private AI models in minutes with our Native AI-First technology (Native AI-as-a-Service ). We are pioneering the development of data-driven AI model solutions for the modern business. From advanced AI Privacy solutions to Conversational AI, Agantic RAG and advanced AI deployment solutions, in cloud or on premise, we can solve any business challenges looking to solve AI for their business. Imagine today you need to spin up a custom-fine tuned AI model that solves how your company customer service and need and automated private fine tune AI, you need a native first AI platform, a solution you can build deploy tune and train all in a fully encrypted environment ensuring your sensitive data never leaves the organizations AI vault. ID Privacy AI is creating the world’s leading enterprise AI model solution to shape the future of Business AI. ID Privacy has pioneered a state-of-the

SeedAI-product
HQDover, US
Unlock human wisdom
ThesisTermsPrivacy
Size
25 employees
IndustryTechnology, Information and Internet
Funding
  • Seed · Aug 12, 2024
Tech stackjenkins, loxo, redis, serverless, power-bi, grunt, fhir, tableau, php, slack

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