Full Stack Engineer

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About Scanner

At Scanner, we’re committed to building the best tools in the world (in Rust!) for teams to search and query through enormous piles of data. Whether you're debugging a distributed system, or monitoring a sprawling backend deployment for security risks, so many problems that modern engineering teams face are ultimately about sifting through giant haystacks in search of small but valuable needles. Scanner provides a magical user experience with ⚡ fast queries, allowing teams to manage massive data sets with far more ease than they can with existing tools.

What We Built

We believe Data Lakes are the future of security data. Scanner is the world's fastest full-text search and detection platform for Security Data Lakes.

Security teams can now search years and petabytes of logs in seconds (up to 700x faster than alternatives), eliminate SIEM coverage blind spots at 70-80% lower cost, and deploy in a day—all while maintaining full custody of their data in their own S3 buckets.

We believe security tools should scale with your data, not your budget. Teams shouldn't have to choose between comprehensive coverage and financial sustainability.

The Team

We're an early-stage team where every person has outsized impact on what we build and how we serve customers.

People join Scanner because they want to:

• Solve genuinely hard technical problems - Making petabyte-scale search feel instant requires deep systems thinking and novel approaches.
• Work pragmatically and move fast - We ship quality products quickly by focusing on what actually matters to customers.
• Have direct impact - Talk to users, shape product direction, and see your work make a difference immediately

We're builders focused on creating genuinely transformative tools for security teams dealing with massive data challenges.

The Role

We're looking for a Full Stack Engineer who leans frontend—roughly 80% UI work, with the remaining 20% reaching into our Rust backend to add an endpoint or trace a bug to its source.

This is a frontend job with unusually hard problems. Our users run queries across petabytes of logs and expect results to feel instant. That means streaming partial results, virtualized rendering of enormous result sets, keeping interactions responsive while data is still arriving, and designing interfaces that make complex query syntax approachable for security engineers under time pressure. The backend is fast; the UI has to keep up.