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New Relic is seeking an experienced Engineering Manager (M3) to lead a senior, high-performing team of 6–8 engineers building next-generation Database Observability products. The team owns the entire lifecycle of critical telemetry data flows, from lightweight database agents and high-throughput ingestion pipelines to intelligent DB recommendation engines and autonomous DB AI Agents.
You will set strategic technical direction, enable your team's best work, and foster a high-accountability culture while partnering closely with Product and Design. Key responsibilities include managing full-stack engineering spanning backend systems, database telemetry, agent engineering, and UI workflows; owning end-to-end delivery, sprint planning, roadmap execution, system quality, and operational excellence for critical database ingestion and recommendation pipelines; guiding the team in harnessing cutting-edge AI technologies including Agentic AI, MCP, and LLMs to evolve database observability from passive monitoring to automated, AI-driven diagnostics and remediation; driving architectural discussions around high-throughput, low-latency ingestion, streaming telemetry (Kafka), and database agent development; partnering with Product Management and Design to translate vision into actionable execution plans; hiring, mentoring, and growing engineers at every level with clear expectations and visible talent pipeline; building a strong DevOps culture where teams own what they ship; and championing modern engineering workflows including AI-assisted development tools.
Required: 10+ years of total software engineering experience with 2+ years directly managing engineering teams. Proven track record of coaching and retaining individual contributors. Deep technical background in backend and distributed systems (Go, Java, Python, or equivalent) with credible engagement in architecture discussions. Foundational understanding of database engines (Relational and NoSQL) and challenges of collecting performance metrics under heavy production loads. Proven delivery of complex, multi-quarter technical initiatives with high quality. Clear, direct, transparent communication effective at aligning senior engineers, cross-functional partners, and executives. Familiarity with CI/CD, microservices, containerization (Docker, Kubernetes), and production observability.
Bonus: Background in Observability, Database Engineering, SRE, or Performance Tuning; exposure to Agentic AI, LLM application architecture, or MCP; experience with real-time streaming architectures (Apache Kafka) and database collector/agent design; hands-on experience with OpenTelemetry (OTel) standards; active experience guiding teams through AI-assisted development practices; track record managing teams through rapid scaling or ground-up product launches; familiarity with Kafka, GraphQL, or distributed data systems.
