Software Engineer 2

New Relic, Inc.; EE. UU.; Híbrido; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

New Relic, Inc. ищет инженера backend для команды Personalization. Ваша задача — строить и масштабировать бэкенд-сервисы и Kafka-пайплайны, обрабатывать поведенческие данные и интегрировать сегменты в классические и агентные поверхности.

Требуется опыт проектирования GraphQL API или микросервисов, работа с Kubernetes и облачными данными, а также интерес к инструментам агентного ИИ и автоматизации процессов. Учитывается вклад в open source и развитие устойчивости систем.

Formación

• Опыт проектирования GraphQL API или масштабируемых микросервисных архитектур.
• Знание концепций Kubernetes и способность рассуждать о продакшн-поведении.
• Опыт распределенной обработки данных в облаке (Spark, Hadoop/Hive, BigQuery, Snowflake, Redshift) или ETL/оркестрации (Airflow).
• Сильное понимание моделирования данных (дименсиональное моделирование, нормализация) в сегментации пользователей.
• Опыт оценки/benchmarking или разработки инструментов агентного ИИ, рабочих процессов и автоматизации.</br>Знакомство с системами рекомендаций.
• Вклад в open source, или интерес к build/test automation.
• Опыт работы с визуализацией данных (Tableau, Looker) и оптимизацией SQL.

Responsabilidades

• Разрабатывать, поддерживать и масштабировать бэкенд-сервисы и Kafka-пайплайны.
• Проектировать микросервисы и API, экспонирующие сегменты пользователей и поведенческие модели.
• Преобразовывать поведенческие сигналы в сегменты и модели платформы.
• Активно использовать инструменты ИИ в процессе разработки и устранения неполадок.
• Участвовать в архитектурных обсуждениях и принимать обоснованные решения.
• Строить, разворачивать, откатывать и эксплуатировать программное обеспечение команды; участвовать в on-call.
• Автоматизировать операционные процессы с помощью новых инструментов.
• Предоставлять конструктивную обратную связь и участвовать в сообществах практик.

Conocimientos

GraphQL API design

Mikroservisy

Kubernetes concepts

Distributed data processing

Data modeling

Agentic AI tools

Open source contributions

SQL performance tuning

Tableau

Looker

Herramientas

Tableau

Looker

Descripción del empleo

Описание: 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! Your opportunity 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.

Задачи:

• 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

Требования:

• 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. If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to [e-mail]. 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.
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