Job Description
Senior Cloud Platform Engineer (Google Cloud Platform & Kubernetes) Location: - Hartford, CT (3 days (Tue, Wed and Thursday) in the office and 2 remote) Job Description • 12 months to start with potential to extend • Google Cloud Platform is a must, 3 ppl in Harford - 9-person team, • Interview: 2 rounds and possible 3rd, panel interviews with 2-3 CME s Key Responsibilities • Architect, deploy, and maintain scalable data infrastructure in Google Cloud Platform with a focus on Cloud Composer (Airflow) and Google Kubernetes Engine (GKE). • Manage containerized workloads using Docker and Kubernetes, including lifecycle management, networking, monitoring, and troubleshooting. • Collaborate with data engineering teams to migrate traditional workloads to containerized platforms. • Implement and maintain CI/CD pipelines using tools like Jenkins, Git, and Terraform. • Ensure observability and reliability of data pipelines and containerized services using Prometheus, Grafana, and other monitoring tools. • Apply best practices for container security, image vulnerability scanning, and configuration management. • Support both open-source and Google-native technologies that interact with Composer and GKE, such as Cloud SQL, Big Query, Pub/Sub, and Artifact Registry. • Support day-to-day platform operations. Required Qualifications • 5+ years of experience with container orchestration platforms (Kubernetes, GKE, AKS, EKS). • 5+ years of hands-on experience with Google Cloud Platform, including IAM, networking, and resource management. • 5+ years of experience deploying and managing Docker containers in production environments. Preferred Qualifications • Experience with Helm, Terraform, and Jenkins for deployment automation. • Exposure to SQL, NoSQL, and CloudSQL databases. • Experience migrating legacy applications to containerized platforms. • Knowledge of open-source data tools and Google Cloud services that support large-scale data environments. • Strong understanding of Kubernetes architecture, including control plane components and networking. • Experience with Python (5+ years), especially in the context of automation and data workflows. • Experience with Composer (Airflow) DAG development and orchestration. • Proficiency in Linux-based infrastructure and scripting languages (Bash, Python; Java and GoLang are a plus). • Familiarity with container monitoring, logging, and troubleshooting tools. Apply tot his job