Backend Engineer - AI-Driven Personalization Platform

Newrelic; Barcelona; Híbrido; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

New Relic in Barcelona, Spain, is seeking a skilled backend engineer to join the Personalization team. You will build, scale, and optimize backend services, Kafka pipelines, and microservices that expose user segments and behavioral models.

The role emphasizes collaboration, architectural input, and hands-on execution across AWS infrastructure. You will work with Java, Kafka, GraphQL, Spring, and NoSQL stacks while applying best practices in distributed systems and AI-assisted development.

Formación

• Fully proficient with Java, end-to-end development with minimal assistance.
• Experience building Kafka-based streaming pipelines in AWS production environments.
• Proficiency with distributed systems, concurrency, and asynchronous programming.
• Experience using AI coding assistants and agents in daily engineering workflow.
• Collaborative, ownership-driven approach to code and decisions.
• Proficient in English for collaboration across teams.

Responsabilidades

• Build, maintain, and scale backend services and Kafka pipelines on AWS.
• Design microservices and APIs exposing user segments and models.
• Translate behavioral signals into reusable segments for the platform.
• Leverage AI coding assistants to improve coding and debugging processes.
• Participate in architectural discussions and code ownership.
• Build, deploy, rollback, and operate the team's software; on-call participation.
• Automate manual operational tasks to improve resilience and ease of operation.
• Provide feedback and contribute to engineering communities of practice.

Conocimientos

Java

Kafka

AWS

Distributed systems

Asynchronous programming

AI coding assistants

English

Herramientas

GraphQL

Spring

Kubernetes

NoSQL

Descripción del empleo

New Relic in Barcelona, Spain, is seeking a skilled backend engineer to join the Personalization team. You will build, scale, and optimize backend services, Kafka pipelines, and microservices that expose user segments and behavioral models.

The role emphasizes collaboration, architectural input, and hands-on execution across AWS infrastructure. You will work with Java, Kafka, GraphQL, Spring, and NoSQL stacks while applying best practices in distributed systems and AI-assisted development.