Senior Data Streaming Engineer

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Senior0Full-time

#470277·Dodano 17 dni temu·0

Źródło: Xebia

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Tech Stack / Keywords

KafkaApache FlinkGo AWS Kubernetes ETLStreamingSparkCustom Resource Definitions (CRDs)

Podsumowanie oferty

Join a dedicated Streaming team delivering a project for an international client, working on large-scale, event-driven systems and real-time data processing. Build and operate production systems using Kafka-compatible event streaming and Apache Flink, with workloads on AWS and Kubernetes and services developed in Go.

Wymagania

Hands-on production experience with Kafka-compatible event-streaming technologies.
Practical understanding of Kafka concepts, including partitions, consumer groups, delivery guarantees, and schema evolution.
Experience developing stream-processing solutions with Apache Flink.
Understanding of Flink concepts, including event time, watermarks, state management, and checkpoints.
Practical experience developing services or components in Go.
Experience working with AWS infrastructure.
Hands-on Kubernetes experience, including deploying, operating, and troubleshooting workloads.
Strong problem-solving skills and the ability to work with distributed systems in production environments.
Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
Work from the European Union region and a work permit are required.

Nice to have:

Experience working with Kubernetes operators and Custom Resource Definitions (CRDs).
Experience operating stateful or distributed workloads on Kubernetes.
Experience troubleshooting performance, reliability, and scaling challenges in real-time data-processing systems.
Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.

Obowiązki

Build and maintain production-grade, Kafka-compatible event-streaming solutions.
Manage partitions, consumer groups, delivery guarantees, and schema evolution.
Develop and maintain stream-processing applications using Apache Flink.
Work with event time, watermarks, state management, and checkpoints.
Develop services and components in Go.
Deploy and operate streaming workloads on AWS-based infrastructure.
Run and troubleshoot workloads on Kubernetes.
Contribute to the reliability, scalability, and operational stability of distributed streaming systems.
Investigate production issues and improve the performance and resilience of streaming applications.
Collaborate with other engineers to evolve the streaming platform and follow engineering best practices.

Inne informacje

Work from the European Union region and a work permit are required.
Recruitment process: CV review, HR call, interview, client interview, and decision.

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