Software Engineer

You'll be building the product features and infrastructure that make the platform feel effortless to operate at scale - ingestion pipelines pulling from cloud providers and SaaS platforms, outbound integrations plugging into customer workflows, and the tooling that lets users (and their AI agents) run investigations across years of security logs.

The systems you ship will handle hundreds of terabytes to petabytes of log data per day. The team moves fast, skips unnecessary process, and expects you to own what you build.

The tech stack

• Rust throughout the backend
• Svelte + TypeScript on the frontend
• Amazon Lambda for highly burstable query compute
• S3 for log storage at scale, MySQL for metadata
• ECS for ingestion pipelines, Pulumi for infra-as-code

• 3+ years of backend engineering experience
• Proficiency in at least one compiled/systems language (Rust, Go, C/C++, Java, Swift)
• Solid grounding in databases, data pipelines, or data warehouses
• A pragmatic stance on AI coding tools - you use them to ship faster, and you own every line you commit
• Comfortable in a fast-paced, low-process environment

An early-stage security infrastructure company building what they describe as the world's fastest full-text search and detection platform for Security Data Lakes. The pitch is simple: search years of logs in seconds, at 70-80% lower cost than legacy SIEMs, with your data staying in your own S3 buckets. It's not a rebrand - the performance claims are real, and the tech to back them up is genuinely interesting.