Job Description We are looking for an experienced Cloud Engineer with 5+ years of experience to support the management, stability, and modernization of a large-scale enterprise data platform environment. The role focuses on maintaining and improving existing on-premise infrastructure while contributing to the transition toward modern cloud-native solutions. The ideal candidate should have strong experience with Linux environments, Kubernetes, Hadoop, automation, and enterprise platform operations. Key Responsibilities Manage, maintain, and optimize Hadoop and Kubernetes-based applications Monitor platform stability, performance, and availability Troubleshoot and resolve infrastructure and platform-related issues Design and develop scripts and automation solutions to reduce manual operational work Implement technical improvements across existing applications and platform services Support data migration initiatives toward cloud-native environments Assist with network connectivity and infrastructure integration tasks Work within Agile/Scrum teams and participate in stand-ups, refinements, and technical discussions Collaborate closely with Cloud Engineers, Data Engineers, Infrastructure teams, Architects, and Product Owners Required Skills & Experience: Minimum 5+ years of experience in Cloud Engineering, Platform Engineering, or Infrastructure Engineering. Strong hands-on experience with Kubernetes. Hands-on experience working in Linux-based environments. Experience with or knowledge of Hadoop. Basic scripting knowledge, preferably Bash and/or Python. Experience in enterprise production environments. Strong troubleshooting and analytical skills. Experience supporting large-scale data platforms and infrastructure environments. Preferred Skills: Experience with cloud-native technologies and automation Experience with data migration projects Hands-on experience with Terraform and Ansible Knowledge of Packer Familiarity with Infrastructure as Code (IaC) concepts Important Notes: Main focus is on platform management, stability, and enhancement. Strong emphasis on automation and reducing manual operational tasks. Enterprise environment experience is essential. Team collaboration and cultural fit are critical for success. Hybrid working model with onsite presence required.