Software Engineer II

• 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

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)

If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com.

We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.

Our hiring process

In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers means that a criminal background check is required to join New Relic.

We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.

New Relic develops and distributes encryption software and technology that complies with U.S. export controls and licensing requirements. Certain New Relic roles require candidates to pass an export compliance assessment as a condition of employment in any global location. If relevant, we will provide more information later in the application process.

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 looking for passionate people to join our mission. If you’re ready to help the world’s best companies optimize their digital applications, we invite you to explore a career with us!

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.

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.