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New Relic

Senior Software Engineer

Barcelona, Spain; SpainRemote · Spain
Senior · UX Platform
POSTED 23 OCTVERIFIED 4H AGO
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Open for
11d
since 23 Oct
H-1B · FY26
4
2 PERM · UK sponsor
Hiring · 30d
49
0 net · open roles
JavaGraphQLKafkaAWSKubernetesSparkAirflowSnowflakeDistributed systems

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

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 support that understanding with resilient, well-architected systems and senior technical judgment. You'll pioneer how we distill user behavior across classic interfaces and newer surfaces like agentic conversations into models the rest of the platform depends on.

About the team

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

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

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

Source · New RelicFirst seen 2 NovOriginal ↗