Senior Security Engineer, Detection and Response

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com , General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).

HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.

HackerOne Values

HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.

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.

At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a remote role targeted for candidates within ~50 miles of Austin TX, Seattle, WA, Washington, DC, San Francisco, CA, or Boston, MA . We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work.

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)