Remote Security Research Engineer Job in San Francisco, CA Operant AI

Who you are

• 5+ years of experience in a security research or engineering role performing hands-on work as part of a fast paced engineering org
• 2+ years of leadership experience building teams in the cloud native security space
• Experience with Kubernetes, AWS, GCP, Azure, networking layers L3-L7+ required
• Experience with C++, Webassembly, Golang is preferred
• Expert level knowledge of Operating Systems /Network Security fundamentals
• Experience contributing to open source community projects in the cloud native space is preferred
• Excellent communication and writing skills with the ability to distill deeply technical things in an easy to understand form
• BS, MS, or Ph.D. in Computer Science, Computer Engineering with a focus on Cybersecurity, or similar equivalent industry experience is preferred

Desirables

• Passion for cybersecurity
• Independence
• Collaborative
• Leadership experience
• Strong communication skills

What the job involves

• Develop experiments and PoCs that uncover and demonstrate key security problems in cloud native environments and how to fix them
• Document research findings and communicate with the broader team
• Actively contribute to open source projects within Operant such as Secops-Chaos which is a tool built by Operant to apply chaos engineering principles to cloud-native security
• Partner with product and engineering teams to influence future product roadmap with key security research findings
• Share and advocate research in technical blogs, conferences, and forums
• Review and contribute to security best practices within Operant's product
• Build and lead a security research team at Operant over time
• Function independently while being able to make choices in the presence of unknowns
• Collaborate cross-functionally with Operant's founding team and other engineering leaders
• Take active interest in understanding real customer pain points while doing technical research