Senior Linux Platform Engineer

Your Key Responsibilities Manage Infrastructure & Databases: Manage and optimize Linux servers in public cloud environments while operating and improving distributed database systems (e.g., ScyllaDB, Cassandra, Elasticsearch/OpenSearch). Ensure high availability, reliability, and performance across both compute and data layers. Proactive Monitoring & Performance Optimization: Continuously monitor system and database performance, identify bottlenecks, and implement tuning measures across distributed data clusters and Linux environments. Troubleshoot Distributed Systems: Diagnose and resolve complex issues within distributed databases, Linux servers, and cloud infrastructure - ensuring stable, scalable, and resilient operations. Automate with IaC: Increase efficiency through Infrastructure-as-Code (IaC) using tools like Ansible, automating database operations, cluster provisioning, and configuration management. Collaborate Across Teams: Work closely with cross-functional teams to optimize, scale, and evolve infrastructure and database systems for internal services and customer-facing platforms. Guide & Support: Provide expert guidance to colleagues and customers on database best practices, system performance, and scalable architecture patterns - ensuring smooth cloud and data operations internationally. Your Experience Passion for Linux, Automation & Databases: You're enthusiastic about Linux, open-source technologies, distributed databases, and automation-driven infrastructure. Strong Linux & DB Expertise: Extensive experience managing Linux (Ubuntu) systems as well as operating SQL/NoSQL databases in distributed environments. Experience with ScyllaDB, Cassandra, and/or Elasticsearch/OpenSearch is highly desirable. Monitoring & Optimization Skills: Hands-on experience with monitoring and performance tooling such as Grafana, Prometheus, and Bash scripting. Ability to analyze database and system metrics to drive improvements. Distributed Systems Know-How: Understanding of replication, sharding, consistency levels, failover strategies, and capacity planning for distributed data platforms. Networking & Security Proficiency: Solid understanding of networking and security principles (firewalls, load balancing, TLS, performance tuning). DevOps Knowledge: Familiarity with the DevOps lifecycle and IaC tools (Ansible, puppet, chef, etc.) is a plus - especially for automating database & deployment lifecycle tasks.