S Senior Backend Engineer (Rust/Databases) Scanner.dev · San Francisco Bay Area posted 18 months ago

Rustify; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Scanner.dev in the San Francisco Bay Area is seeking a Senior Backend Engineer focused on Rust and databases. You will work on a serverless, cloud-native platform designed to index and search massive log datasets with fast queries.

You’ll contribute to distributed systems, optimise storage costs, and help scale the backend to petabyte-scale data lakes. The role is hybrid in the SF Bay Area, with a strong emphasis on performance, reliability, and security.

Skills

Rust

Databases

Distributed systems

Tools

PostgreSQL

Redis

Job description

# Senior Backend Engineer (Rust/Databases)Scanner.dev · San Francisco Bay Area · Senior · HybridView & ApplyTitle: Senior Backend EngineerLocation: San Francisco Bay AreaAbout ScannerAt 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.At our prior company, our logging scaled rapidly. We didn't want to spend an additional $1M per year on traditional logging tools. So we threw away logs more than a few hours old, which made security investigations and debugging super painful.That’s why we built Scanner. It should be possible to store logs at massive scale and low cost without sacrificing speed. Scanner's serverless platform allows companies to directly index and scan their S3 data lake in any open format, search through terabytes of historical logs in seconds, and autodetect security-relevant events.No need to build another ETL pipeline - Scanner directly indexes logs in any open data lake format so no need to transform logs to fit a strict schema. We just need read access to your S3 bucket.Centralized storage for all log data.Purpose-built, cloud-native log search designed for petabyte scale.Indexes retained for 12 months by default and maintained in cloud storage instead of in-memory leading to a 10x cost reduction while allowing teams to maintain custody of their data and avoid vendor lock-in.Serverless architecture allows you to find the needle in a multi-terabyte haystack in seconds, not minutes.Continuous threat monitoring with out-of-the-box detection rules.The Team & CompanyMagical things happen at startups of our size and each individual team member has a massive impact on the business. People that come to work at Scanner love working on challenging problems in a pragmatic way allowing us to move fast and ship quality products to our customers at lightning fast speed.