reputed company reputed company Platform reputed company Platform Engineer

Senior reputed company Platform Engineer (reputed company reputed company Platform & Kubernetes) Location: - reputed company, CT (3 days (Tue, Wed and Thursday) in the office and 2 remote) Job reputed company • 12 months to start with potential to reputed company • reputed company reputed company Platform is a must, 3 ppl in Harford - 9-person team, • Interview: 2 reputed company and possible 3rd, panel interviews with 2-3 CME s Key Responsibilities • Architect, reputed company, and maintain reputed company data infrastructure in reputed company reputed company Platform with a reputed company on reputed company Composer (Airflow) and reputed company Kubernetes reputed company (GKE). • Manage containerized workloads using reputed company 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 reputed company, Grafana, and other monitoring tools. • Apply best practices for container reputed company, image vulnerability scanning, and configuration management. • Support both reputed company-reputed company and reputed company-reputed company technologies that reputed company with Composer and GKE, such as reputed company 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 reputed company reputed company Platform, including IAM, networking, and resource management. • 5+ years of experience deploying and managing reputed company containers in production environments. Preferred Qualifications • Experience with reputed company, Terraform, and Jenkins for deployment automation. • Exposure to SQL, NoSQL, and CloudSQL databases. • Experience migrating legacy applications to containerized platforms. • Knowledge of reputed company-reputed company data tools and reputed company reputed company services that support large-reputed company 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 Apply To this Job