Security Software Engineer II, Detection and Response
PinterestSan Francisco, CA, US; Remote, USPosted 15 April 2026
Job Description
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here .
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.
What you'll do:
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.
What we’re looking for:
Bachelor’s degree in Computer Science, Cybersecurity or, a related field or equivalent experience
Strong knowledge of intrusion detection and incident response with an engineering focus in a modern cloud first environment
Knowledge of the attacker lifecycle, common attack and detection techniques
Hands on experience with writing SIEM queries for alerting, response, and threat hunting
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
Understanding of networking technologies and/or network security, basic TCP/IP network fundamentals
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.
Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
In-Office Requirement Statement:
We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
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.
Relocation Statement:
This position is not eligible for reloc ... (truncated, view full listing at source)
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