Senior Security Engineer, Detection and Response

What You Will Do

Success in the Senior Security Engineer role will be accomplished by delivering on the responsibilities below in alignment with the Values and Principles that define how we work at HackerOne:

• Design, build, and maintain detection-as-code capabilities across cloud infrastructure, SaaS applications, endpoints, and identity systems, improving coverage and signal quality through Data-Driven Decision Making
• Build automated investigation and response workflows that replace manual runbooks, leveraging AI First principles to scale triage, enrichment, containment, and remediation
• Develop and deploy AI/LLM-powered tooling to accelerate investigations, reduce alert fatigue, and extend team capacity beyond traditional headcount constraints, embedding AI First practices into daily workflows
• Lead and participate in incident response, including detection, investigation, containment, and retrospectives, applying First Principles Problem Solving to identify root causes and improve long-term resilience
• Partner cross-functionally with engineering and platform teams to expand logging, improve observability, and embed detection capabilities into the development lifecycle
• Continuously improve detection quality by analyzing alert performance, tuning for signal, and building feedback loops between incidents and detections using Data-Driven Decision Making
• Proactively identify gaps in visibility or coverage and translate ambiguous problem spaces into concrete detection and response solutions through First Principles Problem Solving
• Adapt quickly to evolving threats, tools, and priorities, helping the team maintain momentum and effectiveness through Change Agility

Minimum Qualifications

• 5+ years of experience in detection and response, security engineering, or software engineering with a security focus
• Strong software engineering fundamentals with proficiency in Python, Go, Ruby, or similar languages, and experience working in production codebases
• Hands-on experience with cloud environments (AWS preferred), including services such as CloudTrail, GuardDuty, and VPC flow logs
• Experience with log aggregation and analysis platforms (e.g., Datadog, Splunk, ELK) and endpoint detection tools (e.g., SentinelOne, CrowdStrike)

Preferred Qualifications Experience building AI/LLM-powered security tooling or applying AI to detection, triage, or investigation workflows

• Experience with detection-as-code frameworks or building custom detection pipelines
• Familiarity with containerized environments (Docker, Kubernetes, ECS/EKS)
• Experience with threat intelligence, threat hunting, forensics, or attacker tradecraft frameworks such as MITRE ATT&CK