Sr. Software Engineer, Threat Intelligence

The Role

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.

• Build and maintain full‑stack applications and backend services using Python, Type Script, 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:
  Git Hub Actions, Cloud Watch/Grafana, Docker

• 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.
• Postgre
  
  SQL experience is required. Candidates without direct Postgre
  
  SQL 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.

• Experience with FastAPI.
• Experience with Click House or other columnar/analytical data stores.
• Experience working in a security vendor environment, with exposure to large volumes of raw telemetry.
• Understanding of knowledge graphs and graph databases.
• Comfort using AI‑assisted tooling thoughtfully — for example, to accelerate implementation backed by sound planning and detailed design — paired with strong engineering judgment about when and how to apply it.

• Experience managing, maintaining, and tuning Postgre
  
  SQL databases at scale.
• Familiarity with building modern CLI/TUI tooling.
• Familiarity working with Agentic/MCP technologies.

• Competitive compensation
• Comprehensive benefits
• Career success on your terms
• Flexible work environment
• Annual wellness and community outreach days
• Always on recognition for your contributions
• Global collaboration and networking opportunities

SF Bay Area, New York City Metro Area:
Base Pay Range:  -  USD

California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska:
Base Pay Range:  -  USD

All other cities and states excluding those listed above:
Base Pay Range:  -  USD

Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.