Top Engineering Jobs

Contribute to a proprietary telemetry database (NRDB) by developing high-throughput, scalable features in Java. Collaborate on reliability and performance improvements, participate in on-call rotation, and troubleshoot production systems handling massive ingest and storage workloads.

Work on New Relic's query language and gateway stack, build and maintain scalable distributed Java services and petabyte-scale infrastructure, investigate and resolve performance and availability issues in a multi-region distributed database, participate in cross-functional initiatives, and share on-call/DevOps responsibilities.

Design, build, and operate a large-scale Kubernetes platform: ensure high availability and performance, automate platform delivery, develop custom Kubernetes Operators in Go, manage production incidents, and run Day 1/Day 2 cluster operations with Helm and GitOps tooling.

Lead and grow global engineering teams building APM agents and observability tooling. Hands-on with data analysis, OpenTelemetry, backend engineering, reliability, scalability, on-call operations, and cross-team execution to deliver production-grade distributed systems.

Lead and grow a team building Kubernetes observability integrations: oversee Go/Python data collectors, scalable backend services, UI dashboards, and K8s SRE agents; drive technical strategy (OpenTelemetry), ensure end-to-end delivery from agents and Helm charts to frontend, manage incident response and support rotations, and advocate open-source contributions.

Lead design and delivery of Service Cloud solutions: configure Service Cloud/Experience Cloud features, build scalable integrations, develop Apex/LWC and Flows, troubleshoot and optimize performance, document implementations, and train stakeholders while collaborating with US-based teams.

Design, build, and scale backend services for a high-volume distributed tracing pipeline. Work on distributed system challenges, create automation and tooling, participate in architecture, collaborate with product teams, use DevOps practices and on-call rotations, and apply AI tools to accelerate development.

Build, maintain, and scale backend services for a high-volume distributed ingest and processing pipeline. Integrate AI agents into engineering workflows, create automation and tooling, collaborate with product teams, participate in on-call rotations, and champion observability and continuous workflow innovation.

As a Senior Software Engineer, you will design and implement tools using Golang, manage Kubernetes orchestration, respond to incidents, and mentor junior engineers.

Lead a 6-8 engineer full-stack team building Database Observability products: own roadmap, delivery, architecture for high-throughput ingestion, DB agents, AI-driven diagnostics, hiring/mentoring, and operational excellence using modern CI/CD, containerization, streaming, and AI tools.