Sr. Software Engineer, Threat Intelligence

About the role

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people. How We Work: At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: Bold in how we dream and innovate Responsive to feedback, challenges and opportunities Accountable for results and best in class outcomes Visionary in future focused problem-solving Exceptional in execution and impact This is a hands-on, high-autonomy role spanning the full development lifecycle. The primary focus is software development, with additional responsibility for database management and infrastructure as needed to support the team's systems. Your day-to-day Build and maintain full-stack applications and backend services using Python, TypeScript, React, and Go. Own and manage large SQL databases backing applications and services used by the Threat Intelligence team, including schema design, query optimization, migrations, and operational health. Proactively identify problems before they become incidents: Seek out reliability, performance, and correctness issues. Improve runbooks, dashboards, alert quality, and automation. Collaborate closely with other engineering teams and threat intelligence stakeholders to deliver outcomes that strengthen the team's ability to produce actionable intelligence. Help manage and maintain AWS infrastructure supporting the team's services: VPC configuration, ECS, Aurora/RDS, EC2, Networking, SNS/SQS, CDK Adhere to best practices when it comes to CI/CD, observability, and monitoring: GitHub Actions, CloudWatch/Grafana, Docker What you bring to the team Substantive Python experience in production or enterprise environments - we're looking for engineers who have designed, built, and maintained Python systems with real operational accountability, not solely scripting or automation. PostgreSQL experience is required. Candidates without direct PostgreSQL experience will be considered where they can demonstrate equivalent depth with a comparable relational database system. Hands-on AWS infrastructure management experience, including provisioning and operating resources such as EC2 instances, RDS databases, VPCs, and related services.