Apply on Employer Site

ID Privacy AI · 4 hours ago

Google Cloud DevOps Engineer

United States

Full-time

Remote

Mid Level

3+ years exp

ID Privacy AI is dedicated to building a next-generation privacy-first platform for online advertising. The Google Cloud DevOps Engineer is responsible for streamlining and automating various aspects of the software development process, ensuring continuous delivery and efficient updates of software while facilitating collaboration between development and operations teams.

Ad NetworkArtificial Intelligence (AI)Data ManagementGenerative AIHealth CareMachine LearningMarketingMedia and EntertainmentNatural Language ProcessingPrivacy

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

Qualification

Google Cloud PlatformKubernetesAutomation skillsAI-based toolsJavaScriptPythonSQLDevOps principlesCloud StorageGCP SecurityTeamworkCommunication skillsProblem-solving abilitiesOrganizational skillsAttention to detail

Required

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

Vertex and other AI functions (algorithms, CoLab, etc.)

API Platform

Cloud Storage