Data Platform Engineer
Posted 101ds ago
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Job Description
Infrastructure Engineer responsible for managing Kafka, OpenSearch, and other distributed systems. Optimizing ClickHouse clusters and collaborating with development teams.
Responsibilities:
- Manage, monitor, and optimize ClickHouse clusters in production, including schema design, query performance tuning, replication configuration, and capacity planning;
- Operate and maintain Kafka clusters, OpenSearch deployments, and other distributed systems, ensuring high availability and optimal performance;
- Deploy, configure, and manage containerized applications and stateful workloads on Kubernetes, implementing best practices for resource management and scaling;
- Implement and maintain GitOps workflows for infrastructure and application deployments, ensuring version-controlled and automated deployment processes;
- Design and implement comprehensive monitoring, logging, and alerting solutions for distributed systems, enabling proactive issue detection and rapid troubleshooting;
- Conduct performance analysis, identify bottlenecks, and implement optimizations across distributed systems to meet SLA requirements and improve system resilience;
- Create and maintain technical documentation, runbooks, and operational procedures while collaborating with development teams to ensure smooth integration and operations.
Requirements:
- Strong programming skills in Python, TypeScript, or similar.
- Experience building software that uses LLM or generative AI APIs.
- Hands-on experience using AI coding assistants like GitHub Copilot, Cursor, Claude Code, or similar.
- Understanding of LLM fundamentals, for example tokenization, context limits, temperature, prompt structure.
- Experience with RAG, agents, or function calling in production.
- Ability to design experiments and measure impact on quality, cost, and performance.
- Good communication skills and ability to work with cross-functional teams.
- Nice to have Experience with cloud environments like AWS, GCP, or Azure.
- Background in NLP, ML, or developer tools.
Benefits:
- Working conditions: CET business hours



















