> Markdown version of [/jobs/ext/3880165-software-engineer-2](https://www.wearedevelopers.com/jobs/ext/3880165-software-engineer-2). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer 2

- **Company:** New Relic, Inc.
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Automation of Tests, BigQuery, Software Bug Management, Cloud Computing, Code Generation, Extract Transform Load (ETL), Data Visualization, Dimensional Modeling, Distributed Computing Environment, Distributed Systems, Apache Hadoop, Apache Hive, Queueing Systems, Recommender Systems, Tableau (Software), Workflow Management Systems, Large Language Models, Snowflake, Concurrency, Apache Spark, AI Coding Agents, Kubernetes, Apache Kafka, Free and Open-Source Software, Graphql, Asynchronous Programming, Looker Analytics, Data Pipelines, Sql Tuning, Amazon Redshift, Microservices
- **Published:** October 23, 2026
- **Apply:** https://startup.jobs/software-engineer-2-new-relic-company-10555206

## About the Role

* Fully proficient with Java, with the ability to design, develop, test, and deploy small-to-medium features and bug fixes end-to-end with little or no assistance
 * Experience building Kafka-based streaming pipelines and services in a cloud (AWS) production environment
 * Experience with distributed systems, concurrency, and scaling, and familiarity with asynchronous programming techniques (streams, event-based flows, task queues, message queues)
 * Active experience using AI coding assistants and agents in your day-to-day engineering workflow, with a mindset of continuous workflow innovation
 * A collaborative work style that includes colleagues in important decisions and leads to shared code ownership
 * Comfortable navigating ambiguity with an iterative mindset, and able to align day-to-day work with broader strategic and architectural direction
 * Proficiency in English

Bonus points if you have

 * Experience designing GraphQL APIs or microservices architectures at scale
 * Familiarity with Kubernetes concepts and ability to reason about production behavior
 * Experience with distributed data processing in the cloud (Spark, Hadoop/Hive, BigQuery, Snowflake, Redshift) or ETL/orchestration tools such as Airflow
 * Strong understanding of data modeling principles (dimensional modeling, normalization), especially applied to behavioral or user segmentation
 * Proven experience evaluating, benchmarking, or building custom agentic AI tools, prompt workflows, or developer automation
 * Exposure to recommendation systems or building context for agentic/LLM-based experiences
 * Contributions to open source projects, or a passion for build/test automation
 * Experience with SQL performance tuning or data visualization tools (Tableau, Looker)

## Description

This position is for the Personalization team, starting with a greenfield project! Our stack centers on Java 25, Spring, GraphQL, NoSQL, Kubernetes, Kafka and AWS.

If you're passionate about understanding user behavior at scale and want to help shape how New Relic's classic and agentic experiences adapt to the people using them, we want to hear from you.

What you'll do

 * Build, maintain, and scale backend services and Kafka-based streaming pipelines that process user behavior data across our AWS infrastructure
 * Design microservices and APIs that expose user segments and behavioral models to downstream surfaces, both classic UI and agentic
 * Turn behavioral signals into segments and models the rest of the platform builds on
 * Actively use and evaluate AI coding assistants and agents in your own engineering workflow. From code generation and review to production troubleshooting and help the team adopt what works
 * Participate in architectural discussions, exercising judgment to determine the right approach on moderately scoped problems
 * Build, deploy, rollback, and operate your team's software, including active participation in on-call
 * Automate manual operational processes with new tooling to keep systems resilient and easy to operate
 * Provide constructive, service-level-aware feedback and actively participate in engineering communities of practice