CheckRecipient uses advanced machine learning and natural language processing (NLP) to make it impossible for sensitive information to end up in the wrong hands. We protect enterprise networks against new and intelligent cyber threats by preventing breaches in real-time.
Founded by a team of Imperial College engineers, we’re backed by some of the world’s leading technology investors. We work with international clients in the financial, legal and professional services sectors who trust us to find the most intelligent ways to keep their data secure.
ENGINEERING AT CHECKRECIPIENT
Dealing with massive datasets at scale requires ingenuity and strong analytical skills. We build quickly and follow both agile and continuous delivery paradigms.
As Lead Engineer of the CheckRecipient engineering team, you will help direct the future of the Company, managing our roadmap, our engineers and taking ownership of tech objectives. You will work closely with the CTO to define the ambitions, priorities and technologies of the engineering team, and be the main driving force behind our move to microservices and a scalable infrastructure.
Here are some of the technologies we’re working with:
- Python, Ruby
- Kubernetes, Docker
Here are some of the technologies we're interested in:
Winner - WIRED Security 2016 Best Startup Award
Winner - LegalGeek Best Machine Intelligence Start Up 2016
Winner - Info Security PG Security Startup of the Year 2017
WHAT WE'RE LOOKING FOR:
You should apply if you:
-are an experienced engineer, looking to take a step to the next level
-are interested in leading a team
-a great problem solver who takes pride in their work; both planning and managing as well as getting stuck-in
-are comfortable with the unknown and love to experiment
-can construct good arguments for methodologies or practices
-have a passion for learning new skills and technologies
-have good knowledge of Python (but ideally you’re language agnostic and will use the best tool for the job)
-are interested in working on a microservices architecture
-have an interest in machine learning and big data
-have experience working at scale and with taking engineering to scale
Competitive salary and meaningful equity options
Choose your own kit
Central London office location
Regular team socials and activities
We do not accept applications or résumés from 3rd party recruiters.
We are currently unable to sponsor applicants who do not have a right to work in the UK