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Java Software Engineer

Explore Group

Zaragoza

A distancia

EUR 30.000 - 50.000

Jornada completa

Hoy
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A technology consultancy is seeking a Mid to Senior Java Developer to work on a long-term project involving Java microservices and Kafka. The role includes integrating AI technologies and collaborating with engineering teams. Candidates should have strong Java and Kafka experience, with a background in microservices and cloud services. This position is remote and offers competitive rates.

Formación

  • Strong Java (11+) and Kafka experience required.
  • Experience with microservices & event-driven systems needed.
  • Hands-on experience with AI / LLM integrations is essential.
  • Familiarity with cloud services (AWS / GCP / Azure) is a plus.

Responsabilidades

  • Build and maintain Java microservices in an event-driven architecture.
  • Work with Kafka for scalable data streaming.
  • Integrate AI / ML APIs to power new intelligent features.
  • Collaborate with engineers and data teams on architecture and innovation.

Conocimientos

Java (11+)
Kafka
AI / LLM integrations
Microservices
Cloud (AWS / GCP / Azure)
Descripción del empleo
Mid to Senior Java Developer (Kafka + AI)

Contract: Until March 2026 (extension likely)

Start: ASAP

Positions: 4

Rate: Competitive

Location: Remote (UK / EU)

We’re looking for a Senior Java Developer with strong Kafka experience and exposure to AI technologies (e.g. OpenAI, LLMs, vector search) to join a long-term consultancy project with a mission-driven global tech company.

What you’ll do
  • Build and maintain Java microservices in an event-driven architecture
  • Work with Kafka for scalable data streaming
  • Integrate AI / ML APIs to power new intelligent features
  • Collaborate with engineers and data teams on architecture and innovation
What we’re looking for
  • Strong Java (11+) and Kafka experience
  • Background in microservices & event-driven systems
  • Hands-on experience with AI / LLM integrations
  • Cloud familiarity (AWS / GCP / Azure)
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