Who We Are:

We build infrastructure that delivers massive amounts of web data to the companies training the world’s most powerful AI models.

We're the team that helps to power and support Grass, a bandwidth-sharing network that lets us operate a massive distributed crawler, giving us unique access to high-quality public web data at global scale. On top of that, we’ve built pipelines for ingesting, segmenting, and annotating billions of videos, transcripts, and audio files, powering dataset creation for frontier labs.

We’re lean, technical, and move fast. No red tape, no slow decision-making; just a team of builders pushing to expand what’s possible for open web data and AI.

The Role:

We are seeking a hands-on Backend Engineer to join a small, dynamic engineering team and help build, improve, and operate the backend services and production tooling that support reliable web data acquisition at scale.

This role is ideal for someone who enjoys coding, cares about the quality of what they ship, and can work with a high degree of independence. You should be comfortable taking a high-level objective, figuring out what needs to be done, and driving it through to a reliable production result without requiring close supervision.

Please note:

This role requires a work schedule that sufficiently overlaps with EST business hours to collaborate effectively with the team.

Who You Are:

• Acts with integrity and seeks out responsibility

• Demonstrates resilience, resourcefulness, and motivation for getting things done

• Organized and process-driven

• Approaches challenges as opportunities

• Curious and challenges personal assumptions regularly

• Welcomes feedback and open dialogue

• Values team success over personal recognition

What You'll Be Doing:

• Build and improve backend code primarily in TypeScript.

• Set up and maintain metrics dashboards for production systems.

• Update existing code to support new metrics and improve system observability.

• Set up alerts and work closely with DevOps to optimize production systems.

• Automate deployments and operational reporting to Slack.

• Test systems in production, identify and troubleshoot issues, and fix bugs.

• Help clean up and improve the existing codebase.

• Write and maintain automated tests.

• Improve and optimize deployment processes.

• Implement code enhancements as new requirements emerge.

Skills, Requirements and Qualifications:

• Bachelor’s degree or equivalent work experience.

• 2+ years of experience in a backend software engineering role.

• Solid TypeScript development skills and strong backend software engineering fundamentals.

• Good understanding of metrics, monitoring, and alerting, with the ability to debug and troubleshoot production systems.

• Ability to write clean, maintainable, well-tested code and make reliable improvements to existing systems.

Nice to have:

• Experience with Go.

• Experience with Datadog, OpenObserve, and/or building Slack bots or integrations.

• Familiarity with web scraping and browser automation, including Playwright.

Why Work With Us:

• Opportunity. We are at the forefront of developing a web-scale crawler and knowledge graph that improves access to public web data and extends the value of AI to the people.

• Culture. We're a lean team with a high bar. We come to work not to be comfortable, but to find out what we're capable of and to do work that matters. We're not calling for people who keep things moving. We're calling for people who make everyone around them better.
  We prioritize low ego and high output. This is a fully remote team.

• Compensation. You’ll receive a competitive salary, benefits and equity package.