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Cloud Native Security Research Engineer
3 months ago
At Operant AI, we are dedicated to fortifying the digital landscape. Our innovative technology addresses critical challenges in contemporary cybersecurity, safeguarding applications across all layers of the cloud-native architecture, from infrastructure to APIs, and data to artificial intelligence. We are committed to introducing cutting-edge advancements from Operating Systems, Distributed Systems, and AI into the realm of cloud-native security, creating a solution capable of tackling the increasing complexity and vast scale of today’s cloud-native applications.
Ideal Candidate Profile:We are on the lookout for our inaugural Security Research Engineer to spearhead Operant's cloud-native threat research initiatives, identifying significant security vulnerabilities within modern application frameworks, including those leveraging AI. If you are passionate about being a foundational engineer at a startup set to redefine cloud application security solutions, we would be eager to connect with you.
Key Responsibilities:- Design experiments and proof of concepts that reveal and illustrate critical security vulnerabilities in cloud-native environments and propose effective remedies.
- Document research outcomes and engage with the wider team to share insights.
- Actively participate in open-source initiatives within Operant, such as Secops-Chaos, a tool developed by Operant to implement chaos engineering principles in cloud-native security.
- Collaborate with product and engineering teams to shape the future product roadmap based on significant security research insights.
- Promote and disseminate research findings through technical blogs, conferences, and community forums.
- Review and contribute to security best practices integrated within Operant's offerings.
- Build and lead a security research team at Operant as the organization grows.
- Operate autonomously while making informed decisions amidst uncertainties.
- Work collaboratively with Operant's founding team and other engineering leaders.
- Take a proactive interest in understanding genuine customer challenges while conducting technical research.
- A minimum of 5 years of experience in a security research or engineering capacity, engaging in hands-on activities within a dynamic engineering organization.
- At least 2 years of leadership experience in building teams focused on cloud-native security.
- Proficiency with Kubernetes, AWS, GCP, Azure, and networking layers L3-L7+ is essential.
- Familiarity with programming languages such as C++, WebAssembly, and Golang is advantageous.
- In-depth knowledge of Operating Systems and Network Security principles.
- Experience contributing to open-source projects in the cloud-native domain is preferred.
- Strong communication and writing skills, with the ability to simplify complex technical concepts.
- A degree (BS, MS, or Ph.D.) in Computer Science, Computer Engineering with a focus on Cybersecurity, or equivalent industry experience is preferred.
- Familiarity with ML, LLM, and AI application frameworks.
Operant AI, Inc. is an equal opportunity employer, fostering an inclusive and supportive environment where you can express your ideas and contribute to a high-growth, energetic startup.