Build pipelines and analytics capabilities as part of our Data Science team
Who are we?
Seedata.io are a cybersecurity deception-technology SaaS that identifies previously undetected data theft/leakage incidents. We are building a solution to the fundamental cybersecurity issues of monitoring and detecting incidents outside your perimeter.
What’s the role?
Our product team will specify outcomes and analysis requirements, our engineering team will build the tools capable of creating the data required, and you will design and build the data capability within our platform, from ingest, storage, analysis and through to presentation. This means building a real time event streaming platform, and a full detection engineering workbench for ad-hoc analysis alongside a more rule-driven analysis engine.
We want somebody who is going to get through the basics quickly, so we can get on to the interesting stuff, introducing ML and AI for our customers’ benefit (as opposed to just for the buzzword bingo).
Who are you?
You’ll have enough experience within building ingest pipelines and storage platforms (suggestion is 5 years or so), and you’ll have defined analysis engines and written the code that performs it. You’ll have acquired intel from 3rd party API’s for enrichment and transformed it to your preferred schema. You’ll know your way around the AWS services that provide these capabilities, and ideally have some experience in a startup or cybersecurity context.
Benefits
- Competitive Salary (£70k – £90k depending on experience)
- Pension plan
- Options plan
- Training and development support
- Remote working
- F2F quarterly planning sessions somewhere nice
Applications
It all starts with an email; please send your cv and a short introductory note to vacancies@seedata.io