) 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 Backend Engineer to ship the product features and infrastructure that make Scanner feel effortless to operate. You'll build the tools that let customers and their AI agents run investigations across years of security logs, the ingestion pipelines that pull massive log streams from cloud providers and SaaS platforms into Scanner, and the outbound integrations that plug Scanner into the workflows users care about. The systems you build need to operate at scale and handle hundreds of terabytes to petabytes of log data per day.

A strong candidate will have: A minimum of 3 years of professional experience in software development, with an emphasis on backend technologies. Proficiency in at least one backend language like Rust, Go, C/C++, Java, or Swift, and willingness to ramp into Rust (we’ll get you productive within a month). General familiarity with databases, database internals, and data pipelines/warehouses.

A craft-first stance on AI coding tools. You use them when they accelerate delivery, and you own every line of code you commit. Comfort working in a fast-paced and low process environment.

Our Tech Stack Talented engineers can pick up new languages and frameworks quickly. Here’s what our tech stack looks like today, but if you come with a better way of doing things we’re flexible and committed to building the best tools for our customers no matter what! We use Rust throughout the backend, giving us extremely fast performance with strong security guarantees.

Our frontend is written using Svelte and TypeScript. Our query system leverages highly burstable compute provided by serverless components like Amazon Lambdas. We use S3 to store logs at scale and MySQL to store metadata.

Our log ingestion pipeline runs in Amazon Elastic Container Service (ECS) We use infrastructure-as-code tools like Pulumi to manage our deployments and cloud infrastructure. Why you’ll love working here Impact & ownership: Join a small, high-trust team where your work directly impacts our users.