Full Stack Engineer

Job description

### **To help avoid bots and fake submissions we require email authentication after you submit your application** ### ### **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. - 5+ years of professional software development, with experience building complex, stateful web applications in TypeScript. - Strong command of modern declarative component frameworks like Svelte, React, Vue, Solid, plus HTML and CSS fluency. - Experience with frontend performance work: rendering large data sets, profiling, etc. - Product and design sensibility. You care how it feels to use, not just whether it works. - Enough understanding of what's below the API layer (e.g. databases, networking, how requests actually get served) to design UIs that are realistic to build and fast to serve. - Willingness to read Rust and make small backend changes. No prior Rust experience required; several of us learned it here, and we'll support you doing the same. - Comfort in a fast-paced, 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! - Our frontend is written using Svelte and TypeScript. It's where most of the product surface lives: the query editor, result viewer, detection rule builder, dataviz. - We use Rust throughout the backend, giving us extremely fast performance with strong security guarantees. - 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. - **Ambitious product:** We solve hard problems with massive scale log search, threat hunting, and observability for cloud-native infrastructure. - **Fast-paced team & culture:** We’re lean, collaborative and high-velocity. - **Growth & autonomy:** We trust you to take major ownership, give you the space to grow, and we’ll support your professional development. ### **Compensation & Benefits** Competitive salary, meaningful equity, and comprehensive benefits (Medical, Dental, Vision, 401k, commuter). Remote-friendly with optional in-person collaboration in San Francisco, Mountain View, and Seattle. ### **To help avoid bots and fake submissions we require email authentication after you submit your application**