[Hiring] Senior Security Engineer, Threat Detection & Response @Airbnb

Role Description

The Threat Detection and Response team (TDR) at Airbnb is focused on automating security detection, responding to security incidents, and working with partner teams to build capabilities that support the incident lifecycle. This is the front-line team that detects, investigates, and responds to internal & external security threats and malicious activity.

This is a key role to help define and execute our vision for threat detection and incident response capabilities and process while mentoring other team members. As a senior engineer on the team, you will have direct impact building, optimizing, and growing securing capabilities as you help deliver world-class threat detection and incident response.

The Difference You Will Make:

• You will be a key member of our growing Threat Detection & Response (TDR) team.
• You will get an opportunity to define and execute on novel approaches to detecting, containing and mitigating threats and incidents.
• You will partner with cross-functional partners across the company to improve the overall security of Airbnb driven by learnings and root cause analysis of investigations and incidents resulting in removal of entire classes of problems.

A Typical Day:

• Perform investigations of security incidents using your knowledge of digital forensics and data analytics.
• Use your coding, data analytics and investigation skills to hunt, detect and respond to threats.
• Build automation and detection models to support identification of anomalous activity and response activities to mitigate threats at scale.
• Hunt for threats in our corporate and production environments to proactively identify anomalous activity.
• Work side by side with our engineering teams to build advanced detection solutions to help keep systems and information safe, and partner closely with partner teams to carry out complex investigations.
• Identify gaps in our infrastructure, and work with business partners to gain visibility through logging and detection.
• Collaborate well with cross-functional partner teams, such as Legal, Privacy, and Engineering for efficient, large-scale response.

Qualifications

• 5+ years of hands-on in-depth knowledge and technical experience in security operations including investigations, incident response, incident management, digital forensics, threat intelligence, threat hunting, and/or detection engineering.
• Proficiency in Python or other scripting language. We also use SQL and Pandas frequently.
• Familiarity with Elasticsearch is preferred.
• Self-motivated and creative problem-solver able to work independently with minimal guidance.
• Ability to lead people in complex, ambiguous situations through influence and not authority.
• Ability to work calmly and collaboratively in critical high-stress situations with expediency.
• Outstanding organizational, prioritization, and multitasking skills.
• Knowledge and familiarity of the Cyber Kill Chain Framework and MITRE ATT&CK Framework and how these apply to the threat landscape.
• Experience automating security detection and response.
• Experience in AWS services (EC2, S3, Lambda, RDS) preferred.

Benefits

• Base pay range: £96,000 — £120,000 GBP (annualized, subject to change).
• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.