Front End Software Engineer

Aria Cluster Software is the integrated control plane for our full-stack AI networking platform. It provisions, observes, and operates the on-prem fabric that powers customer AI training and inference clusters, with deep telemetry from ASIC to application layer. The frontend apps are where operators stand up these production fabrics, diagnose them under load, and tune them for maximum token throughput. The Frontend Software Engineer owns the client surface end to end: the real-time observability dashboards, the operator workflows, the agentic AI interfaces, and the APIs and frontend infrastructure that serve them across web, CLI, and agents. The role leans full stack with an emphasis on frontend. We’re looking for a product builder who happens to be exceptional at frontend, comfortable defining frontend architectures and streaming patterns for high-throughput telemetry systems. Responsibilities Build and maintain the full set of client surfaces operators use including web, CLI, agents and more. Own the frontend API layer and infrastructure that powers all client surfaces. Own the end-to-end frontend stack: component library, state management, data fetching, and rendering performance. Design and implement UI-layer streaming data pipelines handling high-frequency metric updates performantly. Architect and implement real-time network observability dashboards surfacing telemetry, performance metrics, and cluster health at 100,000+ GPU scale. Lead initiatives and partner with backend teams to deliver on product requirements. Co-design and consume REST and streaming APIs supporting real-time infrastructure monitoring and dashboards. Establish and enforce frontend engineering standards: TypeScript conventions, automated testing practices, and rendering performance benchmarks. Provision and manage resources in platforms like Cloudflare, Vercel, AWS. Qualifications Bachelor’s degree (or foreign equivalent) in Computer Science, Software Engineering, Computer Engineering, or a closely related technical field. Minimum 5 years of production frontend engineering experience Expert-level proficiency in TypeScript and React, including large-scale application architecture. Proven command of async data patterns, WebSocket or SSE handling, and real-time state management at production scale. Demonstrated ability to own a product surface end-to-end, from architecture through production deployment. Track record of collaborating with backend engineering teams to define and consume APIs. Experience integrating LLM or agent APIs into production user interfaces. Prior work on building data-dense dashboards for network, infrastructure, or observability products is preferred. Familiarity with network telemetry concepts including SNMP, OpenTelemetry, or streaming metrics pipeline is a significant plus. #J-18808-Ljbffr Aria Networks, Inc.