Unser Kunde:
Our client is a fast-growing online commerce company focused on simplifying consumer decision-making and connecting users with top global brands. The team operates over 30 comparison platforms, content portals, and SaaS products across industries like B2B, B2C, gaming, and finance. They are expanding their engineering group to strengthen cloud infrastructure, DevOps automation, and AI-powered analytics workflows.
Your Tasks:
- Consolidate, migrate, and unify over 300 Google Cloud Platform projects into a streamlined structure to improve governance, cost efficiency, and manageability;
- Support developers building AI-powered business analysis agents on Vertex AI, including infrastructure setup, CI/CD pipelines, and deployment automation;
- Maintain and enhance CloudParams, a GitOps-based configuration management hub syncing YAML-based parameters with AWS Parameter Store, Terraform, and Secrets Manager;
- Contribute to the API Key Observatory, a centralized system for monitoring and analyzing API key usage across environments to improve security and cost visibility;
- Develop and optimize Infrastructure as Code workflows, automate deployments, and ensure cloud infrastructure reliability;
- Implement logging, monitoring, and observability tools to maintain high system uptime and operational transparency;
- Collaborate with DevOps leads, developers, and data teams to promote best practices, automation culture, and secure infrastructure management.
Erforderliche Erfahrungen und Qualifikationen:
- 4+ years of hands-on DevOps experience;
- Strong expertise in Google Cloud Platform (GCP) services and project management;
- Experience with AWS, especially Parameter Store and Secrets Manager;
- Proficiency in Terraform and Infrastructure as Code (IaC) principles;
- Hands-on experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins, or similar);
- Solid understanding of GitOps workflows and YAML-based configuration management;
- Experience with Docker and Kubernetes deployment practices;
- Familiarity with monitoring and logging tools (Prometheus, Grafana, Cloud Logging);
- Scripting skills in Python, Bash, or similar;
- At least Upper-Intermediate level of English.
Would Be a Plus:
- Familiarity with Vertex AI and MLOps pipelines;
- Knowledge of API management and cost monitoring tools;
- Experience with multi-cloud environments (AWS + GCP);
- Understanding of security best practices, including secrets management, IAM, and key rotation.
Arbeitsbedingungen
5-Tage-Woche, 8-Stunden-Tag, flexible Arbeitszeiten;
Fernarbeit.