New Relic Opens Doors for Talent to Shape the Future of AI-Assisted Coding Observability
In a move that signals the growing maturity of AI-driven software development, New Relic has introduced AI Coding Observability, an open‑source initiative designed to bring transparency and control to the way teams use AI coding assistants. While the announcement primarily focuses on the tool itself, it’s clear that the company is ramping up engineering efforts behind this project — creating exciting career opportunities for professionals who want to build the next generation of developer tooling.
For those tracking trends at the intersection of observability, DevOps, and artificial intelligence, this represents more than just a product launch. It hints at a dedicated team expanding at New Relic, tasked with evolving how enterprises audit, analyze, and manage AI‑assisted code. With organizations rapidly adopting assistants like GitHub Copilot, the question is no longer if AI will change workflows, but how to keep those workflows secure, efficient, and measurable. GitHub is also deepening its Copilot ecosystem with dedicated desktop experiences, underscoring the industry-wide need for robust monitoring layers.
About the Role
This role sits at the crossroads of open‑source software development and enterprise‑grade observability. The position involves contributing directly to the AI Coding Observability project, which extends traditional monitoring into the software development lifecycle. Engineers in this team will design systems that track how AI coding assistants are used — everything from acceptance rates and code‑quality impacts to security implications — ensuring organizations gain real‑time visibility into a previously opaque part of their pipeline. The role requires a strong background in distributed systems, a passion for open‑source, and a deep understanding of how AI assistants augment modern development practices.
Key Responsibilities
- Architect and implement observability agents and SDKs that instrument popular AI coding assistants and integrate with New Relic’s platform.
- Build dashboards and alerting mechanisms that surface key metrics — code suggestion frequency, latency, adoption rates, and policy compliance — for engineering leaders.
- Collaborate with the open‑source community to drive adoption, review pull requests, and maintain a transparent roadmap for the AI Coding Observability project.
- Work with security researchers to embed auditing capabilities, helping teams detect potential vulnerabilities or license issues introduced by AI‑generated code.
- Partner with product managers and developer‑advocacy teams to translate user feedback into product improvements, documentation, and best‑practice guides.
- Mentor junior engineers and contribute to the broader observability engineering culture through technical blogs, conference talks, or internal workshops.
- Stay ahead of the rapid evolution of AI coding tools by evaluating new assistants, frameworks, and APIs, ensuring the observability stack remains platform‑agnostic.
Requirements
- 5+ years of hands‑on software engineering experience, with significant exposure to observability platforms (New Relic, Datadog, OpenTelemetry, etc.) or similar monitoring infrastructure.
- Proficiency in at least one systems programming language (Go, Rust, or C++) and experience with cloud‑native technologies such as Kubernetes and serverless environments.
- Strong understanding of AI coding assistants — whether from personal use, integration projects, or research — and familiarity with how they fit into CI/CD pipelines.
- Demonstrated passion for open‑source; prior maintainership or active contribution to well‑known repositories is a strong advantage.
- Ability to navigate ambiguous problem spaces and translate high‑level observability needs into concrete, scalable software designs.
- Excellent communication skills, with a track record of writing technical documentation or blog posts that engage both developer and executive audiences.
Compensation & Benefits
- Competitive base salary and equity package commensurate with experience and market benchmarks.
- Comprehensive health, dental, and vision insurance, along with mental wellness support programs.
- Flexible work arrangements — remote‑first culture with home‑office stipend and opportunities for in‑person collaboration.
- Generous learning budget for conferences, certifications, and continued education in AI, observability, and security.
- Access to New Relic’s own platform for side projects, plus internal hackathons and innovation sprints.
- Paid parental leave, fertility benefits, and a balanced approach to remote work across time zones.
How to Apply
Candidates ready to define how the industry observes AI‑assisted coding can apply directly via the Apply Now button on this page. That link will redirect you to New Relic’s official careers portal, where full application details and any additional screening steps are outlined.