Live opening · Posted 27 days ago
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Description supplied by the original job listing.
Responsibilities:
Architect and Execute: Lead the design of end-to-end features, from high-performance React-based interfaces to scalable Java/Python microservices.
AI Innovation: Drive the integration of LLMs and AI agents into the New Relic ecosystem, including building and maintaining MCP (Model Context Protocol) servers to bridge our data with AI models.
Scale Heavily: Build and maintain highly available, multi-threaded backend services that handle massive data throughput and concurrency.
Technical Leadership: Act as a force multiplier. You'll lead system architecture discussions, conduct deep-dive code reviews, and set the standard for engineering excellence.
Collaborate: Partner closely with Product and Design to translate complex data visualizations into intuitive, performant user experiences.
Mentor: Foster a culture of growth by guiding junior and senior engineers through complex technical hurdles.
Requirements:
Experience: 8+ years of professional software development experience, with a proven track record in a lead or staff capacity.
Frontend Proficiency: Proficiency in React (preferred) or Angular/UI framework, with a focus on state management, performance optimization, and data visualization.
Backend Depth: Expert-level knowledge of Java or Python. You should be comfortable with multi-threading, concurrency patterns, and asynchronous programming.
Add API Design and Integration: Explicitly state experience in designing, building, and consuming secure, performant RESTful APIs or GraphQL.
Distributed Systems: Extensive experience designing and scaling distributed architectures that operate under high load.
AI/ML Familiarity: Experience working with LLM APIs, prompt engineering, or building MCP servers to enable AI-driven workflows.
Leadership: Experience leading cross-functional projects and mentoring mid-to-senior-level engineers.
Nice-to-haves:
Experience with front-end technologies (HTML, JavaScript, CSS, Angular, React).
Experience with Go or other high-concurrency languages.
Knowledge of Big Data technologies (Kafka, ClickHouse, or Spark).
Familiarity with Kubernetes, Docker, and modern CI/CD pipelines.
Contributions to open-source projects or the AI/MCP community.
Experience
9-13 yrs
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