Logz.io - Senior Full Stack Developer

• Own and deliver complex features end-to-end across frontend and backend, from design through production • Drive architectural decisions in a large-scale TypeScript monorepo with 20+ services, shared packages, and a custom UI component library • Build rich, interactive interfaces with React, TanStack ecosystem (Router, Query, Table), and a design system built on modern CSS-in-JS • Design and implement backend services and BFF APIs using Node.js and Express • Work with real-time data systems: OpenSearch queries, WebSocket streams, Server-Sent Events, and large-scale log/metric pipelines • Optimize performance across the stack: bundle sizes, render cycles, query efficiency, and service response times • Leverage AI-powered development tools to accelerate your workflow and help shape how the team adopts them • Collaborate cross-functionally with product managers, designers, platform engineers, and data teams to shape the product direction • Contribute to and evolve shared packages, internal tooling, and the design system that the entire frontend organization depends on • Participate in code reviews and uphold engineering quality standards across the codebase • This role is for someone who lives in the code. You think in types, you debug by reading stack traces, not by guessing, and your keyboard is an extension of your hands. You stay current with the ecosystem, you've already integrated AI into your daily workflow, and you're always looking for a better way to build software. • 5+ years of professional full-stack development experience • Deep proficiency in React and TypeScript in production environments—not tutorial-level, production-level • Strong backend experience with Node.js and Express • Experience working in large-scale monorepos (Nx, Yarn/npm Workspaces, Lerna, or similar). • Solid understanding of RESTful API design, BFF patterns, and service-oriented architectures • Experience with modern build tooling—Vite, esbuild, SWC, or equivalent • Strong testing discipline: unit testing with Jest and Testing Library, and familiarity with E2E testing (Puppeteer, Playwright, or Cypress) • Experience with Docker and containerized development/deployment workflows • Active use of AI/LLM tools in your development workflow—code generation, debugging, code review, documentation, or architecture exploration. This isn't a nice-to-have; it's how we work • Comfort with the terminal, shell scripting, and developer tooling—you don't need a GUI to be productive • Proven ability to own features end-to-end: scoping, building, testing, deploying, and monitoring • Strong communication skills in English—written and verbal • Experience with TanStack ecosystem (React Query, React Router, React Table) • Familiarity with OpenSearch or Elasticsearch—query DSL, cluster behavior, and data modeling • Familiarity with Grafana, Jaeger, or other open-source observability tools • Experience with CI/CD pipelines: GitHub Actions, Jenkins, ArgoCD, or similar • Working knowledge of Kubernetes and cloud-native deployment (AWS) • Experience building or maintaining a design system or shared component library • Understanding of observability concepts—logs, metrics, traces, and how they interconnect • Experience with real-time data: WebSockets, SSE, streaming APIs • Familiarity with ORM/database tools such as Prisma, PostgreSQL, or Redis • Experience with message queues or event-driven systems (Kafka, BullMQ) • Experience integrating AI/LLM capabilities into product features (AWS Bedrock, OpenAI APIs, or similar) • Experience migrating legacy systems (e.g., AngularJS to React) • Contributions to open-source projects • Experience with GraphQL • Familiarity with Monaco Editor or building code editor experiences • You prefer simple, readable solutions over clever abstractions • You take ownership. • You don't just write code; you make sure it works in production • You're comfortable making architectural trade-offs and explaining your reasoning • You care about the user experience as much as the code quality • You can navigate a large, complex codebase without getting lost • You've made AI tools a natural part of how you write and review code. • You communicate clearly and proactively, especially in a remote-first environment • You leave the codebase better than you found it