DebtLogic.ai is seeking an experienced Google Cloud Platform (GCP) specialist to architect and implement our cloud infrastructure. In this role, you'll be responsible for designing scalable, secure, and cost-effective cloud solutions that power our AI-driven debt resolution platform. You'll work closely with our development and AI teams to ensure our infrastructure supports our growing user base and complex computational needs.

Key Responsibilities

• •Design and implement a robust, scalable cloud architecture on Google Cloud Platform
• •Set up and manage containerized applications using Kubernetes/GKE for our microservices architecture
• •Implement CI/CD pipelines for automated testing and deployment
• •Optimize cloud resources for performance, reliability, and cost-efficiency
• •Ensure security best practices are followed across all cloud services and applications
• •Implement monitoring, logging, and alerting systems for proactive issue detection
• •Collaborate with development teams to troubleshoot and resolve infrastructure-related issues
• •Create and maintain documentation for cloud infrastructure and deployment processes

Requirements & Qualifications

• •3+ years of hands-on experience with Google Cloud Platform services (Compute Engine, Cloud Storage, Cloud SQL, BigQuery, etc.)
• •Strong knowledge of cloud architecture principles and best practices
• •Experience with Kubernetes, Docker, and containerization technologies
• •Proficiency with infrastructure as code tools like Terraform or Pulumi
• •Understanding of networking concepts, security protocols, and compliance requirements in cloud environments
• •Experience with CI/CD tools and methodologies (Cloud Build, Jenkins, GitLab CI, etc.)
• •Familiarity with monitoring and observability tools (Stackdriver, Prometheus, Grafana, etc.)
• •Knowledge of scripting languages (Python, Bash) for automation tasks
• •Excellent problem-solving skills and attention to detail

What We Offer

• •Opportunity to shape cloud infrastructure from the ground up for an innovative AI startup
• •Work with cutting-edge AI and machine learning technologies in the fintech space
• •Flexible remote work arrangement with a results-oriented culture
• •Potential for equity participation as an early team member
• •Direct impact on company success and growth trajectory
• •Collaborative environment with a focus on learning and professional development