Data Platform Engineer

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A fast-growing provider of AI povered solutions is scaling its operations. With a strong customer base and increasing demand, the existing engineering team is under pressure to handle both infrastructure improvements and customer-facing support. To meet this growth, the company is looking to add an Infrastructure Engineer in a team of two (will be a third engineer), supporting Kafka, Redis, Opensearch, RabbitMQ, ClickHouse for products.

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, e.g., 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.

Working conditions: CET business hours

Location: Serbia, Portugal, Poland

Seniority level

- Associate

Employment type

- Contract

Job function

- Industries: Software Development

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