Backend Engineer - Personalization & Observability (Remote)

New Relic, Inc.; United States; Híbrido; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

New Relic, Inc. is seeking an experienced software architect to own the architecture and technical direction of a significant backend service within our behavioral data platform.

You will collaborate with product managers and customer teams to translate requirements into a clear technical plan and mitigate risks before production issues arise. The role emphasizes hands-on Java backend design, mentoring, and delivering production-grade code, with cloud-based Kafka streaming and AWS hosting.

Formación

• Experience designing GraphQL APIs or microservices at scale.
• Familiarity with Kubernetes concepts and production behavior.
• Experience with distributed data processing in the cloud (Spark, Hadoop/Hive, BigQuery, Snowflake, Redshift) or ETL/orchestration tools such as Airflow.
• Deep understanding of data modeling principles for behavioral or user segmentation.
• Experience evaluating, benchmarking, or building agentic AI tools, prompt workflows, or developer automation.
• Exposure to recommendation systems or building context for agentic/LLM-based experiences.
• Experience with SQL performance tuning or data visualization tools (Tableau, Looker).
• A track record of technical mentorship beyond your immediate team.

Responsabilidades

• Own the architecture and technical direction of a significant, moderately-scoped service within the behavioral data platform, from design through delivery
• Champion the delivery of full components and support the lead engineer in coordinating feedback and work across the team
• Collaborate with product managers, stakeholders and customer teams to clarify requirements and distill them into a clear technical plan
• Identify and mitigate technical risks (including gaps against SLAs or other reliability commitments) before they become production issues
• Facilitate healthy, data-driven design debates, making sure the team explores multiple options and weighs trade-offs before committing
• Provide technical direction and mentorship to less experienced engineers, and act as an expert operator of the services you own
• Contribute to improving team processes so we can deliver quality software regularly and incrementally
• Actively use AI coding assistants and agents in your own workflow, and help set the standard for how the team adopts them
• Help organize and lead technical communities of practice, not just participate in them
• This role requires Deep, hands-on expertise in Java and backend service design, with a track record of delivering production code that follows solid security, reliability, and maintainability practices
• Experience building and operating Kafka-based streaming pipelines and services in a cloud (AWS) production environment
• Strong experience with distributed systems, concurrency, and scaling, including diagnosing and resolving complex production issues
• A track record of mentoring engineers and providing constructive direction in code reviews and design discussions
• Comfortable partnering directly with product managers and stakeholders to shape technical scope from ambiguous requirements
• Sound judgment in selecting the right approach on issues of moderate to broad scope
• Excellent written and verbal communication skills, including the ability to build consensus across differing technical viewpoints
• Proficiency in English

Conocimientos

Java

Backend design

Distributed systems

Kubernetes

GraphQL APIs

Microservices

AI tools

English

Herramientas

Kafka

AWS

Spark

Hadoop

BigQuery

Snowflake

Airflow

Descripción del empleo

New Relic, Inc. is seeking an experienced software architect to own the architecture and technical direction of a significant backend service within our behavioral data platform.

You will collaborate with product managers and customer teams to translate requirements into a clear technical plan and mitigate risks before production issues arise. The role emphasizes hands-on Java backend design, mentoring, and delivering production-grade code, with cloud-based Kafka streaming and AWS hosting.