P
Security Software Engineer (Detection & Response)
Skills
RubyPythonGolangCybersecurityAILinux
1 day ago
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Important information
Contract type:
Permanent
Salary:
$123,696 – $254,667 / year
Location:
San Francisco, CA, USA
Work mode:
Hybrid
Published on:
22 October 2026
What they need
- Pinterest is seeking an experienced Security Engineer to build and implement detection and response improvements and adapt to emerging threats to protect employees and infrastructure
- In this role you will have the opportunity to solve challenging problems and provide a meaningful impact on our overall security posture. We are looking for a candidate with a passion for both security and innovation
- Build alerts and automation workflows to improve capabilities to detect and response to external and internal security threats
- Manage our logging pipelines and infrastructure and onboard new logging sources to improve our detection coverage
- Develop and maintain internal tooling to expand and automate team detection and response capabilities
- Respond to alerts generated from our tooling and run incidents as part of an on-call rotation
- Collaborate with cross team partners
- Hunt for previously undetected threats in our environment
- Leverage AI to streamline and enhance the efficiency, accuracy, and coverage of security engineering- Strong knowledge of intrusion detection and incident response with an engineering focus in a modern cloud first environment
- Experience consuming threat intel and applying it to improve detection capabilities
- Familiarity with using multiple sources of telemetry for threat investigations: Eg. EDR, Osquery, Firewall logs
- Knowledge of the attacker lifecycle, common attack and detection techniques
- Understanding of networking technologies and/or network security, basic TCP/IP network fundamentals
- Bachelor’s degree in Computer Science, Cybersecurity or, a related field or equivalent experience
- Hands on experience with writing SIEM queries for alerting, response, and threat hunting
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables
- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)
- Depth in ideally MacOS internals, or alternatively in Linux/UNIX or Windows internals, persistence mechanisms, privilege escalation techniques
- Scripting or automation experience (e.g., Python, Go, Ruby) for tool development or integration
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
- This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country
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