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Security Engineer

🔥 12 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 15%

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Logo of Aegis AI Security

Aegis AI Security

1 - 10 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

Aegis AI Security is an AI-native email security company that uses orchestrated AI agents to detect and stop phishing, business email compromise (BEC), malware, and zero-day email threats in real time. The platform deploys via API to Google Workspace and Microsoft 365 with no MX record changes, offering rapid integration, automated triage and remediation, low false positive rates, and enterprise-grade reporting and compliance (SOC 2 Type II). Aegis positions itself as a SaaS solution for security teams, reducing alert fatigue and manual rule management by replacing brittle rule-based Secure Email Gateways with self-learning, agent-driven detection and response.

📋 Description

• Own scanning across code, dependencies, images, cloud configuration, and external attack surface • Automate vulnerability triage, routing to owners, and remediation where safe • Keep unresolved vulnerabilities within SLAs • Own and expand security gates in build and deployment pipelines • Block vulnerable dependencies and misconfigurations before deployment • Define secure baselines for the cloud estate and detect and remediate drift • Drive least privilege and zero trust across systems, credentials, and workloads • Run application security design reviews, code reviews, and threat modeling • Partner with DevOps on reusable, secure-by-default CI/CD, logging, and authentication paths • Serve as technical lead during investigations and build tooling to accelerate future incident response • Automate repetitive security processes • Collaborate directly with engineering, DevOps, and the head of security • Own meaningful security surface from the first week and expand scope over time

🎯 Requirements

• 4+ years in security engineering, or infrastructure engineering with real security ownership, at a cloud-native company • Ability to write code in Python, Go, or similar • Deep knowledge of cloud IAM and Kubernetes security • Experience designing for least privilege and short-lived credentials by default • Fluency in CI/CD and experience hardening pipelines • Ability to work openly with engineers through design reviews, pull requests, and documentation • Ability to prioritize by real-world risk and explain decisions to engineers and leadership • Bonus: Experience securing systems that process email or other high-sensitivity customer data • Bonus: Experience building and automating a vulnerability management program end to end • Bonus: LLM application security knowledge, including prompt injection, model pipelines, and AI agent guardrails • Bonus: Supply chain security experience, including artifact signing, provenance, and SBOMs • Bonus: Detection engineering or close partnership with a SOC • Bonus: Experience at a security vendor • United States location

🏖️ Benefits

• Flat, flexible, and fast culture • Ownership of decisions • Clear KPIs for success with autonomy in how to achieve them • Remote work arrangement

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