Senior Security Engineer, Detection and Response

HackerOne; Austin (CO); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Equity stock options

Retirement plans

Unlimited PTO

Paid parental leave

Job summary

HackerOne is seeking a Senior Security Engineer for their Detection and Response team in Austin, TX. This role focuses on engineering AI-first detection capabilities to secure cloud environments. Key responsibilities include designing detection systems, leading incident responses, and automating workflows. Candidates should have 5+ years in security engineering, strong coding skills (Python, Go), and experience with AWS and log analysis tools. Benefits include health insurance, equity options, and unlimited PTO.

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.
• Hands-on experience with cloud environments, especially AWS.

Responsibilities

• Design, build, and maintain detection-as-code capabilities across cloud infrastructure.
• Build automated investigation and response workflows using AI principles.
• Lead and participate in incident response efforts.

Skills

Detection and response

Software engineering

Python

Go

Ruby

AWS

Log aggregation platforms

Endpoint detection tools

Tools

CloudTrail

GuardDuty

VPC flow logs

Datadog

Splunk

ELK

SentinelOne

CrowdStrike

Docker

Kubernetes

ECS/EKS

Job description

Senior Security Engineer, Detection and Response

Remote Location: Austin TX, Seattle, WA, Washington, DC, San Francisco, CA, Boston, MA

Position Summary

At HackerOne, we’re rebuilding our Detection & Response function with an AI-first approach—focused on engineering, not just triage. As a Senior Security Engineer, you will design and deliver detection and response capabilities that protect a modern, cloud-native environment by writing code, building AI-powered tooling, and automating workflows end-to-end.

This role operates across the full detection lifecycle—from identifying gaps in observability to shipping high-signal detections and leading incident response when it matters most. You’ll help scale what a small team can accomplish by embedding automation, intelligence, and AI into how we detect and respond to threats.

We embrace a Flexible Work approach for candidates within ~50 miles of Austin TX, Seattle, WA, Washington, DC, San Francisco, CA, or Boston, MA.

What You Will Do

• 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.
• 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.
• 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 (Datadog, Splunk, ELK) and endpoint detection tools (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.

Job Benefits

• Health (medical, vision, dental), life, and disability insurance
• Equity stock options
• Retirement plans
• Paid public holidays and unlimited PTO
• Paid maternity and parental leave
• Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)
• Employee Assistance Program
• Eligibility may differ by country

We’re committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).

Equal Opportunity Employer

HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status or any other protected characteristic as outlined by international, federal, state, or local laws.

This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.