Security Software Engineer at Intuition Machines

3-5 years full time development experience in Web Frontend / JS / Web APIs / Python
Have a great understanding of Integrating security into build automation, deployment automation, test automation, SDLC orchestration, environment management, monitoring, and production
Have a great understanding of Web Security paradigms, including OWASP project
Hands-on experience and proficiency in API test automation and standardization is a great plus
Have participated in bug bounty platforms or own public CVEs related to web applications is a great plus
Exposure to modern web browser security design, web architecture, network protocols and web automation frameworks is a great plus
Experience developing bot-nets and whitehat hacking is a great plus
Show an interest in analyzing industry trends and market demands to recommend product enhancements and new sources of intelligence
Be a great collaborator and communicator, be curious and want to innovate
Have excellent verbal and written communication skills in English.

Analyzing customer traffic as well as systems and customizing our security solutions
Conducting in-depth research on tools or services that aid threat actors to bypass our bot detection solutions.
Providing our security product portfolio towards the best security posture to provide our customers with
Maintaining an up-to-date knowledge base of threats, vulnerabilities, and attack vectors
Owning the technical aspects of integration (configuration, debugging, documentation, testing, go-live) of our Security Solutions
Identifying new standards and technologies that could impact our security products accuracy

• 100% Remote
• Paid time off (2-4 weeks)
• Paid sick leave
• Freelancing, contractual base - automatically renewed every year
• Yearly Regional gatherings

We provide machine learning products and services at scale to some of the largest companies in the world. Focus on meta-learning and visual domain ML.
Intuition Machines has decades of software and ML expertise. We build and operate massively scalable systems to tackle some of today’s hardest problems.