Staff Security Engineer – Threat Detection

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and implement rules-based and AI-assisted threat detection systems utilizing testing, validation, CI/CD, detections as code, and a comprehensive detection development lifecycle.

• Assess threat-detection coverage deficiencies and address risks through detective controls.

• Explore AI/ML methodologies to enhance the signal-to-noise ratio and improve analyst productivity.

• Provide data-driven insights for detective and preventative measures based on threat models, proactive threat hunting, logs, and telemetry.

• Design and construct automations and AI-driven workflows to bolster security posture and minimize mean time to detect and respond.

• Collaborate with stakeholders across Security and Engineering to offer detection as a service, self-service patterns, reusable components, and AI-enhanced detections.

• Evaluate and enhance detection quality concerning coverage, precision and recall, false positive rates, and latency.

⛳️ Requirements

• Over 8 years of experience in security engineering encompassing threat detection, incident response, threat hunting, product security, or corporate security, or comparable experience.

• Proficient coding skills in a high-level programming language like Python or Go.

• Proven history of developing software, data tools, or automations.

• Experience with programmatic data handling using SQL and Python.

• Familiarity with large-scale log and telemetry datasets for detection logic or analytics.

• Background in writing production code, including unit tests, version control, and CI/CD integration.

• Experience in developing and managing agent-based or agentic workflows, such as LangGraph or similar orchestration frameworks.

• Practical experience with AWS, Azure, or GCP, along with an understanding of their native logging, monitoring, and security services.

• Knowledge of SaaS and workstation vulnerabilities such as account compromise, data exfiltration, phishing, and supply chain attacks.

• A risk-based mindset for prioritizing security initiatives and assessing AI versus traditional rules and heuristics.

• A degree in Computer Science or equivalent practical experience is advantageous.

• Familiarity with applying GenAI and LLM-based methodologies to security workflows is a plus.

• Experience with Terraform, CloudFormation, and/or detections-as-code frameworks is a plus.

• Proven experience in building production software or platforms that handle high-volume data streams is a plus.

• Experience in deploying detections on a global scale is a plus.

• Knowledge of Snowflake or equivalent cloud data platforms and Snowflake Cortex AI or similar is a plus.

🏝️ Benefits

• Eligibility for bonus and equity plans.

• Medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• Life insurance benefits.

• Disability insurance coverage.

• 401(k) retirement savings plan.

• Flexible spending account options.

• Health savings account availability.

• Minimum of 12 paid holidays.

• Paid time off provisions.

• Parental leave benefits.

• Employee assistance program access.

• Additional company perks.