Security Software Engineer

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.

• 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.

• 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.

• 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.
• This position is not eligible for relocation assistance.
• The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
• US based applicants only.
• $123,696 - $254,667 USD.