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Java Software Engineer

Explore Group

Vigo

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 with strong Kafka experience and exposure to AI technologies. You will build and maintain Java microservices and work with scalable data streaming. The role is remote, suitable for candidates in the UK or EU. The ideal applicant has a solid background in microservices and cloud technologies, with hands-on AI integration experience.

Formación

  • Strong Java (11+) and Kafka experience required.
  • Background in microservices & event-driven systems essential.
  • Hands-on experience with AI / LLM integrations appreciated.
  • Familiarity with cloud platforms (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 integration
Microservices
Event-driven architecture
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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