Security Engineer

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September 16

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Anvilogic

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Cybersecurity • SaaS • Enterprise

Anvilogic is a cybersecurity company specializing in detection engineering and threat detection automation. Their platform enables security operations centers (SOCs) to streamline the detection engineering process by providing tools such as a multi-SIEM detection platform, AI-driven automation, and pre-built detection rules. Anvilogic helps organizations reduce SIEM costs, close critical detection gaps, and improve threat detection with real-time monitoring and automation of maintenance tasks. They offer integrations with data platforms like Splunk, Snowflake, and Microsoft Sentinel, allowing companies to enhance their threat detection capabilities effectively across multiple cloud environments.

51 - 200 employees

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 $25M Series B on 2022-07

📋 Description

• Design, build, and deploy AI-powered security agents for threat detection, incident analysis, and automated response • Develop agentic workflows that can autonomously perform log forensics, threat hunting, and incident response tasks • Work with product management teams to translate cybersecurity operational requirements into agent capabilities and performance metrics • Integrate security agents with existing data lakes, SIEM platforms, and security toolstacks • Embed security practitioner knowledge and methodologies into agent decision-making processes • Mentor engineering teams on cybersecurity best practices and agent development patterns • Collaborate with security operations teams to validate agent outputs and refine detection logic

🎯 Requirements

• 5+ years of professional experience with minimum 3+ years in cybersecurity operations • Excellent written and verbal communication skills • Hands-on experience with incident response, log forensics, and threat hunting across multiple security platforms • Proficiency in Python with experience in data analysis, security tooling, or automation • Experience with LLMs, agentic frameworks (LangChain, CrewAI, AutoGen), and implementing AI patterns (RAG, tool use, multi-agent systems) • Understanding of cloud security architectures and data platforms (AWS, Azure, Snowflake, Databricks) • Ability to abstract and systematize cybersecurity methodologies for automated implementation • Experience with security data formats, log analysis, and threat intelligence • Experience building and deploying production AI/ML systems at scale (preferred) • Experience with observability and monitoring tools for AI systems (preferred) • Background in malware analysis, digital forensics, or advanced persistent threat (APT) investigations (preferred) • Experience in conducting security investigations across multiple data platforms (preferred) • Experience with security orchestration platforms (SOAR) and workflow automation (preferred) • Knowledge of threat intelligence platforms and automated threat hunting techniques (preferred)

🏖️ Benefits

• US Salary Transparency: • Competitive salary with equity in the company • Comprehensive medical, dental, and vision insurance • Unlimited paid time off policy for work life balance • 401(k) retirement plan with company match • Monthly stipend for home internet and cell phone expenses