Security Software Engineer II, Security Operations

Pinterest is a platform that inspires creativity and innovation, and they are seeking a Security Software Engineer to join their Security Operations team. The role involves building and enhancing systems and workflows to maintain security, collaborating across teams to deliver reliable solutions, and utilizing AI to streamline engineering tasks.

Responsibilities:

• Build, maintain and improve security tooling, automations and services that support Security Operations
• Write production-ready code, infrastructure-as-code and technical documentation with a high bar for quality and reliability
• Improve security workflows such as access controls, cloud guardrails, service hardening and inbound security requests
• Partner with engineers and cross-functional stakeholders to identify gaps and deliver practical security solutions
• Troubleshoot production issues, improve runbooks and help maintain healthy, reliable systems
• Contribute to technical designs, project plans and retrospectives, while clearly communicating progress, risks and blockers
• Use AI to speed up repeatable engineering work such as prototyping, documentation and code improvements, while validating quality and correctness
• Use AI to summarize operational signals, surface patterns and reduce manual toil, while protecting sensitive data and maintaining accountability for final outputs

Requirements:

• Experience in cloud, security, and/or software engineering including building and operating production services, automations or internal tools
• Experience in cloud infrastructure and infrastructure-as-code, especially in environments such as AWS and Terraform
• Experience in writing and reviewing production-quality code, debugging issues and delivering reliable solutions with clear documentation
• Experience in operational security, platform security or security engineering work such as access management, cloud security, service hardening or security tooling
• Experience working independently on projects with clear goals, breaking work into milestones and communicating progress and tradeoffs to teammates and stakeholders
• Demonstrated ability to use AI to improve speed and quality in day-to-day engineering work, while maintaining strong judgment and verification practices
• Strong track record of critically evaluating AI-assisted output through testing, validation, source-checking or peer review before shipping work
• Bachelor's degree in Computer Science, Engineering or a related field, or equivalent experience