---
title: 'Full Stack Engineer at Scanner'
canonical: 'https://feeny.ai/job/full-stack-engineer-scanner-san-francisco-ca-or-hved3jy48tfb'
type: 'job'
last_seen: '2026-09-11'
---

# Full Stack Engineer at Scanner

- **Company:** Scanner
- **Location:** San Francisco CA OR, United States
- **Work type:** hybrid
- **Posted:** 2026-03-05
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/scanner/jobs/4173229009

## 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

## About Scanner

## Company Overview
- **One-liner**: Scanner provides a cloud-native security data lake that indexes logs directly in S3, enabling sub-10-second search across petabytes and continuous threat detection for security teams.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Cliff Crosland (CEO), Steven Wu (CTO)

## Core Business
- **Primary industry**: Cybersecurity (Security Data Lake / SIEM alternative)
- **Target customers**: B2B – Security operations teams (SOC), threat hunters, and AI security agents at enterprises of all sizes.
- **Mission**: To make complex data problems simple by rethinking how log search, threat detection, and observability work at scale – ensuring security teams never have to choose between speed and coverage.

## Products & Services
- **Scanner Security Data Lake**: A cloud-native platform that indexes logs directly in Amazon S3 without pipelines or re-ingestion. Offers blazing-fast full-text search (100x faster than Athena), continuous streaming detection rules, and native support for the Model Context Protocol (MCP) for AI agent integrations. SOC 2 Type II certified, GDPR compliant, and available with data residency options.
- **API-First Architecture**: Programmatic access to all queries and datasets, enabling custom workflows and integration with existing security stacks (e.g., AWS CloudTrail, Azure, Okta, GitHub, Tines).

## Market Standing
- **Valuation / Market Cap**: Not publicly disclosed (Series A led by Sequoia Capital).
- **Key Metric**: Annual Revenue estimated $0–$1M (as of 2025); Total Funding includes a Series A led by Sequoia Capital with participation from CRV and Mantis VC. Amount undisclosed.
- **Notable Investors / Partners**: Sequoia Capital (lead), CRV, Mantis VC. Advisors include Tom Killalea (former SVP & GM of Splunk Security), Christina Cacioppo (CEO & co-founder of Vanta), and others from Splunk, MongoDB, and Chevron.
- **Growth Signals**: +170% headcount growth year-over-year (from ~5 to 14 employees); monthly growth of +35%; customer case study with Ramp; growing adoption among AI security agents.

## Competitive Advantages
- **Speed and economics**: Indexes logs in place in S3, eliminating the cost and latency of re-ingestion. Search is “100x faster than Athena” and economical enough for AI agents to iterate freely.
- **No vendor lock-in**: Data stays in the customer’s cloud bucket; full custody and schema-less ingestion.
- **Built for AI-era security**: Native MCP support gives AI agents structured, fast access to the security data lake, enabling investigation workflows that would time out or be too expensive in traditional SIEMs.

## Strategic Focus
- Scaling the team (currently hiring for senior backend, full stack, and sales roles).
- Deepening integrations with the security ecosystem and expanding enterprise adoption.
- Positioning as the data layer for AI agents in security – enabling autonomous threat hunting and investigation.

## Why Work Here
- **Culture**: Small, collaborative team solving hard infrastructure problems; low-process environment emphasizing autonomy and speed.
- **Work model**: Hybrid-friendly (San Francisco office gather weekly on Tuesdays) with fully remote options for US-based roles; quarterly in-person gatherings.
- **Tech stack**: Rust (backend), Svelte + TypeScript (frontend), AWS Lambda, S3, MySQL, Pulumi – modern and performance-focused.
- **Perks**: Medical, Dental, Vision, 401k, Commuter Benefits, Unlimited PTO; generous equity and cash compensation.
- **Team**: Co-founders with deep experience from Cisco, Dropbox, and Accompany; advisors from Splunk, MongoDB, and Vanta.

## Sources
1. [Scanner Homepage](https://scanner.dev/)
2. [Scanner About Page](https://scanner.dev/about)
3. [LinkedIn Company Profile](https://www.linkedin.com/company/scanner-dev)
4. [Careers Page (Greenhouse)](https://job-boards.greenhouse.io/scanner)
5. [Senior Backend Engineer Job Posting](https://scanner.dev/careers/senior-backend-engineer)

## Other roles at Scanner

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- [Account Executive (West)](https://feeny.ai/job/account-executive-west-scanner-san-francisco-8p1ws6vy8wsw) — San Francisco, CA
- [Senior Field Marketing Manager](https://feeny.ai/job/senior-field-marketing-manager-scanner-san-francisco-ca-or-qbmz241zdkzp) — San Francisco CA OR, United States
- [Director of Channels & Alliances](https://feeny.ai/job/director-of-channels-alliances-scanner-san-francisco-ca-or-s4xcrwzgtg1t) — San Francisco CA OR, United States
- [Head of Sales](https://feeny.ai/job/head-of-sales-scanner-san-francisco-ca-or-xve7c750qjd3) — San Francisco CA OR, United States
- [Senior DevOps Engineer](https://feeny.ai/job/senior-devops-engineer-scanner-san-francisco-keg0y5y9jfbm) — San Francisco, CA
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