Senior Software Engineer
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Job Description
Senior Software Engineer building Java backend services for New Relic’s observability platform. Owning behavioral-data architecture using Kafka, AWS, distributed systems, and AI-assisted development.
Responsibilities:
- Own the architecture and technical direction of a significant, moderately scoped service within the behavioral data platform from design through delivery
- Champion 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 create technical plans
- Identify and mitigate technical risks, including gaps against SLAs and reliability commitments, before production issues occur
- Facilitate data-driven design debates and evaluate trade-offs
- Provide technical direction and mentorship to less experienced engineers
- Operate and own assigned services
- Improve team processes to support regular, incremental delivery of quality software
- Use AI coding assistants and agents and help establish team adoption standards
- Organize and lead technical communities of practice
Requirements:
- Deep, hands-on expertise in Java and backend service design
- Track record of delivering production code following solid security, reliability, and maintainability practices
- Experience building and operating Kafka-based streaming pipelines and services in an AWS production environment
- Strong experience with distributed systems, concurrency, and scaling
- Experience diagnosing and resolving complex production issues
- Track record of mentoring engineers and providing constructive direction in code reviews and design discussions
- Experience partnering with product managers and stakeholders to shape technical scope from ambiguous requirements
- Sound judgment on issues of moderate to broad scope
- Excellent written and verbal communication skills
- Proficiency in English
- Experience designing GraphQL APIs or microservices architectures at scale
- Familiarity with Kubernetes concepts
- Experience with distributed data processing in the cloud or ETL/orchestration tools
- Deep understanding of data modeling principles
- Experience evaluating, benchmarking, or building custom agentic AI tools, prompt workflows, or developer automation
- Exposure to recommendation systems or agentic/LLM-based experiences
- Experience with SQL performance tuning or data visualization tools
Benefits:
- Flexible workforce model with fully office-based, fully remote, or hybrid workplace options
- Diverse, welcoming, and inclusive work environment
- Reasonable accommodation support during the application or recruiting process
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