Software Engineer 2

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're ...

Every experience we build is only as good as our understanding of the person using it. You'll help distill how people actually use New Relic, across classic interfaces and newer surfaces like agentic conversations, into models that let those experiences adapt in ways that feel relevant and contextual.

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.

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
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

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)

Please note that visa sponsorship is not available for this position.
Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics' different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We're looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.
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