Top Tech Jobs & Startup Jobs

Build and optimize a canvas-based browser app ingesting and visualizing large data streams. Architect data pipelines, rendering loops, and memory-constrained solutions. Implement performance-critical UI using TypeScript, Canvas/WebGL/DOM, low-level web APIs, workers, and potentially WebAssembly. Measure and tune rendering, memory, and responsiveness.

Build and maintain yeetd, a dynamic BPF runtime in Rust for on-demand observability. Work close to the Linux kernel, design safe concurrent systems, use eBPF and perf events for instrumentation, and optimize performance under real-world load.

Build and scale backend services for a real-time observability platform. Work on high-throughput data ingestion, streaming systems, pub/sub and async task pipelines, ensuring throughput, reliability, fault tolerance, testability, and production readiness under load.

Open call for self-starters who identify gaps, take initiative to fill them, and consistently deliver high-quality, shippable work. Role details and scope to be determined with selected candidates.

Build backend and frontend systems that drive product adoption: implement signup and activation flows, referral mechanics, usage tracking, billing experiments, integrations, and analytics pipelines. Partner with product, marketing, and sales to deliver code-first experiments, dashboards, APIs, and automation that measure and accelerate GTM funnels.

Lead discovery, prioritization, and storytelling for a real-time observability platform for Linux clusters. Work with founders, engineers, and customers to define roadmap, translate systems-level complexity into clear product direction, create metrics and dashboards, improve developer experience, and ensure shipped features deliver measurable operational value.

Own messaging and positioning for a deeply technical developer-facing observability product. Create landing pages, copy, campaigns, and enablement that resonate with engineers and decision-makers, partnering with product and sales.