Logz.io is a cloud-native observability platform that unifies logs, metrics, and traces to help engineering teams monitor, troubleshoot, and secure their systems at scale. Our platform processes massive volumes of real-time data, powers AI-driven investigation tools, and integrates deeply with leading open-source projects, including OpenSearch, Grafana, and Jaeger.
We're looking for a senior full-stack engineer to join our product application team. The team is responsible for the entire user-facing experience of the Logz.io platform. This is a high-impact IC role where you'll own features end-to-end, from API design to pixel-perfect UI, working across a stack that spans React, Node.js, and real-time data systems. You'll be expected to understand problems deeply, contribute to architectural decisions, collaborate across teams, and deliver solutions that scale to thousands of engineering teams worldwide.
What You'll Do
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.
Requirements
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
Strongly Preferred
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)
Nice to Have
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
Who Will Thrive Here
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
