Security Engineer, Product Security
Chainlink LabsFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have 4-6+ years of experience in Information Security, focusing on application or product security. Expertise in cloud platforms such as AWS, GCP, or Azure, along with Kubernetes orchestration and automation scripting (e.g., Python, Bash) is required. A strong foundation in SDLC security and secure coding practices is essential. Experience with vulnerability management programs and incident response protocols is necessary, and familiarity with Large Language Model (LLM) applications and AI/ML security is highly desirable. Strong communication skills and the ability to collaborate across cross-functional teams are also important.
The Senior Product Security Engineer will lead the development and enforcement of security best practices throughout the development lifecycle. They will conduct threat modeling, security architecture reviews, design reviews, and code reviews for new product development. The role involves performing penetration testing, vulnerability analysis, and security assessments of product features and systems. They will develop and implement security automation tools to monitor code and software for vulnerabilities, define and maintain secure coding standards for cloud and Kubernetes-based environments, and proactively identify and mitigate risks in user-facing flows and critical infrastructure. Additionally, they will drive security education, training, and mentorship across teams and manage security vulnerabilities to ensure they are documented and addressed efficiently.
Utilizes wasted energy for computing power
Crusoe Energy Systems Inc. provides digital infrastructure that focuses on using wasted, stranded, or clean energy sources to power high-performance computing and artificial intelligence. The company helps clients in the technology and energy sectors by offering scalable computing solutions that aim to reduce greenhouse gas emissions and support the transition to cleaner energy. Crusoe's approach involves converting excess natural gas and renewable energy into computing power, which allows them to maximize resource efficiency while minimizing environmental impact. Unlike many competitors, Crusoe specifically targets the intersection of energy and technology, generating revenue by supplying computing resources to enterprises that need significant computational power for applications like AI and machine learning, along with providing technical support.