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Observability Experience Frontend Engineer

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Logfire is a deeply visual product: trace waterfalls, live-streaming logs, dashboards over huge volumes of data, an experiments and evals UI with side-by-side comparison, and a SQL exploration surface. The frontend is a React + TypeScript application where the hard problems are real — rendering and interacting with very large datasets, live data streaming, and complex data visualization — and where good UX directly decides whether engineers can make sense of their systems.

We're hiring an Observability Experience Frontend Engineer to help design and build that interface. You'll have outsized impact: the system is in production but still flexible, we ship fast, and we dogfood our own product every day — so you can fix the things you don't like.

This is a front-end role first and foremost — but because you'll be building an observability product, experience with observability (or other data-heavy developer tooling) is a real advantage.

  • Build performant, intuitive interfaces for observability data: trace views, dashboards, live tail, alerts, and the evals and experiments surfaces.
  • Design and implement complex data-visualization and large-table components that stay fast over very large volumes of data.
  • Optimize for live, streaming data — keeping the UI responsive while data updates in real time.
  • Work closely with the design and backend teams, and help shape the API contracts your features depend on.
  • Grow and maintain our component library and design system; document components, refactor, and write tests.
  • Participate in design and code reviews, and keep pushing the code-quality and UX bar forward.

There are frequent opportunities to contribute to open source — we believe in growing the community as we grow the company.

We expect a candidate for this position to have:

  • Strong React and TypeScript experience, with solid software-engineering fundamentals and well-structured, performant code.
  • Deep knowledge of the web platform and browser performance.
  • Experience building data-intensive UIs — large tables, charts, and/or real-time/streaming data.
  • A strong eye for visual design and usability, and the range to move between systems thinking and pixel-level detail.
  • Experience keeping UI consistent and maintaining a component library / design system as an application grows.
  • Self-motivation and a track record of working effectively in a remote environment, ideally with startup or small-team experience.
  • At least 5 years of software engineering experience.

Nice to haves but not required:

  • Experience with data-visualization libraries (we use ECharts) and large data grids (we use AG Grid).
  • A history of open source contributions.
  • Accessibility experience (color contrast, ARIA, keyboard navigation).
  • UI animation and thoughtful loading / transition states.
  • Familiarity with Python, Rust, or PostgreSQL, and comfort reading SQL.
  • Hands-on experience with observability or developer-tooling products, and an interest in AI engineering.
  • Live and work in a timezone between PT (UTC-8) and CET (UTC+1). This is a hard requirement — please do not apply if you do not meet it.
  • Able to travel to EU, UK and US up to 4 times a year to join our off-sites

Pydantic Validation is the data validation library that powers modern Python development - 500 million downloads per month, used by virtually every tech company you've heard of. Why? Because we obsess over developer experience and write code we'd actually want to use ourselves.

We're applying that same engineering mindset to Pydantic Logfire, our observability platform with first class support for AI engineering, built for today's development reality: AI workloads, multi-language environments, and cloud infrastructure that's designed to be straightforward to set up and maintain.

We build with technologies developers actually want to work with:

  • OpenTelemetry for standardized instrumentation
  • SQL for intuitive querying (no proprietary query language to learn)
  • Rust, Python, and TypeScript for performance and productivity
  • Postgres, DataFusion, and object storage for scalable backends

Unlike other companies that pay lip service to open source, we commit over 20% of our engineering team to maintaining and expanding our open source ecosystem. This includes the core Pydantic Validation library and Pydantic AI - our rapidly growing framework that's becoming the standard for AI application development. We're signatories of the open source pledge and build on open standards because we believe in interoperability, not lock-in. Use our OpenTelemetry-based SDK with any compatible backend - we're confident you'll choose us on merit.

We're backed by Sequoia Capital and run a fully remote team across multiple time zones (with regular in-person offsites - next one is June 2026 in London).

Join our team of exceptional engineers who value substance over hype, practical approaches over perfectionism, and meaningful progress over busyness. We've built a culture that balances technical ambition with sustainable practices—minimal meetings and respect for your expertise and time. We're creating tools that genuinely improve developers' lives, and we're looking for thoughtful contributors who share our commitment to quality and our passion for elegant solutions.

  • 💰 Compensation: Competitive salary and stock options
  • 🌍 Truly Remote: Work from anywhere within our timezone range - no office requirements
  • 🌐 Global & Diverse: Join a multi-cultural team of 8+ nationalities
  • 💪 Impact: Direct influence on tools used by millions of developers worldwide
  • 🎯 Focus on Growth: Regular opportunities for learning and professional development
  • 🤝 Team Gatherings: Connect with the team at our regular international off-sites
  • 🏥 Healthcare: Comprehensive health coverage for you and your dependents
  • 🎮 Flexible Hours: Work when you're most productive
  • 💻 Equipment: Budget for your home office setup
  • ⚖️ Work-Life Balance: flexible working hours and 33 days PTO no matter where you live (including public holidays, which you can choose to take or not)

To apply, email careers@pydantic.dev with the job title in the subject line. We'd also appreciate a few lines explaining why you think you'd be a good fit for the role and what you've done in the past that evidences that.

No recruiters or agencies please. Unsolicited recruiters will be marked as spam.

To make your application stand out, please include a link to UI work you're proud of — a product, a project, a component library, or an open source contribution.

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