Security Software Engineer II, Security Operations

Pinterest is a platform where millions of people find creative ideas and plan for lasting memories. They are looking for a Security Software Engineer to join their Security Operations team, focusing on building and improving systems and workflows to enhance security across the platform.

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