Security Operations Engineer

Role Overview: Internset is seeking an AI Security Operations Engineer to contribute to the development of scalable systems for detecting abuse, monitoring suspicious behavior, automating investigations, and enhancing platform trust within the organization. As an AI Security Operations Engineer at Internset, you will be responsible for designing intelligent monitoring systems, behavioral analytics pipelines, automated investigation tooling, and AI-assisted detection frameworks across Internsets ecosystem. Key Responsibilities: - Build automated systems for detecting suspicious or abusive activity across Internset platforms - Develop internal monitoring tooling for various activities including fake internship activity, credential abuse, fraudulent assessments, account misuse, bot-driven behavior, and identity manipulation attempts - Construct data pipelines and intelligence workflows for the collection and analysis of platform signals - Create internal dashboards, alerting systems, and investigation tooling to support security operations - Integrate AI-assisted analysis into moderation and investigation workflows - Collaborate with engineering teams to enhance platform-level trust and safety systems - Establish scalable logging and behavioral analytics infrastructure - Continuously enhance detection quality while minimizing false positives Qualifications Required: - Strong coding skills in Python, Rust, Solidity, JavaScript, SQL, or similar technologies - Experience with security automation, data pipelines, behavioral analytics, fraud detection, abuse prevention systems, and monitoring infrastructure - Familiarity with APIs, webhooks, scraping systems, or automation frameworks - Understanding of cybersecurity concepts and platform-security fundamentals - Strong problem-solving and investigative thinking abilities - Ability to independently develop systems from concept to deployment (Note: No additional details about the company were provided in the job description) Role Overview: Internset is seeking an AI Security Operations Engineer to contribute to the development of scalable systems for detecting abuse, monitoring suspicious behavior, automating investigations, and enhancing platform trust within the organization. As an AI Security Operations Engineer at Internset, you will be responsible for designing intelligent monitoring systems, behavioral analytics pipelines, automated investigation tooling, and AI-assisted detection frameworks across Internsets ecosystem. Key Responsibilities: - Build automated systems for detecting suspicious or abusive activity across Internset platforms - Develop internal monitoring tooling for various activities including fake internship activity, credential abuse, fraudulent assessments, account misuse, bot-driven behavior, and identity manipulation attempts - Construct data pipelines and intelligence workflows for the collection and analysis of platform signals - Create internal dashboards, alerting systems, and investigation tooling to support security operations - Integrate AI-assisted analysis into moderation and investigation workflows - Collaborate with engineering teams to enhance platform-level trust and safety systems - Establish scalable logging and behavioral analytics infrastructure - Continuously enhance detection quality while minimizing false positives Qualifications Required: - Strong coding skills in Python, Rust, Solidity, JavaScript, SQL, or similar technologies - Experience with security automation, data pipelines, behavioral analytics, fraud detection, abuse prevention systems, and monitoring infrastructure - Familiarity with APIs, webhooks, scraping systems, or automation frameworks - Understanding of cybersecurity concepts and platform-security fundamentals - Strong problem-solving and investigative thinking abilities - Ability to independently develop systems from concept to deployment (Note: No additional details about the company were provided in the job description)