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Staff Engineer Java (Springboot, Kafka, RxJava, Kafka)

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Staff Engineer Java (Springboot, Kafka, RxJava, Kafka)

THE BOARD | tech & digital headhunting

Staff Engineer Java (Springboot, Kafka, RxJava, Kafka)

Skills

SQL QueriesJavaMicroservicesSpring BootPostgreSQLKafkaAIAWSKubernetesAzure

6 days ago

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Important information


Contract type:

Permanent

Location:

Spain

Work mode:

Remote

Published on:

13 October 2026

What they need


At ๐—ง๐—›๐—˜ ๐—•๐—ข๐—”๐—ฅ๐—— | ๐—ฝ๐—ฒ๐—ผ๐—ฝ๐—น๐—ฒ & ๐˜๐—ฎ๐—น๐—ฒ๐—ป๐˜, a firm specialized in recruitment and talent acquisition, we are looking for a Staff Backend Engineer (Java) with more than 10 years of experience, to join a strategic area responsible for building and evolving high-scale, business-critical systems .

This is a highly technical role for an engineer who goes beyond frameworks and tools, with a strong understanding of distributed architectures, asynchronous messaging, low-latency systems java reactive programming (Vert.x, RxJava) and software design principles . You will have real influence over architecture and engineering standards, working in lean teams and leveraging modern AI-assisted development tools.

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๐Ÿ”Ž What are we looking for?

  • ๐Ÿš€ Architecture & High-Scale Systems: Design, build and evolve highly scalable microservices and distributed systems , ensuring reliability, maintainability and performance across mission-critical services.
  • โ˜• Deep Java Engineering: Bring strong expertise in Java, Spring Boot, Vert.x and RxJava , with a solid understanding of modern functional programming approaches, concurrency and performance optimisation.
  • ๐Ÿ“จ Event-Driven & Asynchronous Architecture: Design and optimise asynchronous messaging and event-driven solutions using Apache Kafka , with particular attention to throughput, latency, resilience and system behaviour under scale.
  • ๐Ÿง  Technical Leadership: Influence architecture and engineering decisions across multiple initiatives, defining design patterns, technical standards and engineering best practices while remaining strongly hands-on.
  • โšก Performance & Reliability: Analyse and improve system performance, identifying bottlenecks and designing solutions capable of supporting high-volume, low-latency environments .
  • โ˜๏ธ Cloud, Kubernetes & Data: Work with Azure or AWS , Kubernetes and modern data platforms, combining SQL and NoSQL technologies such as PostgreSQL and Couchbase within distributed architectures.
  • ๐Ÿค– AI-Augmented Engineering: Incorporate modern Agentic AI and AI-assisted development tools such as Tabnine and Gemini into engineering workflows to improve developer productivity and support efficient, high-quality software delivery.

๐Ÿค What does our client offer r?

  • Immediate start with a permanent contract.
  • Remoto work model from Spain, 38-hour workweek, flexible hours, and career development opportunities.
  • 23 vacation days, health insurance, social benefits, remote work allowance, high-end laptop and acces

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