Google Cloud DevOps Engineer

IDPrivacy 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.

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

Requirements:

• 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
• Cloud Run
• VPC Setup
• IAM and Admin
• GCP Security
• Kubernetes