[Remote] Sr. Software Engineer, Threat Intelligence
Note: The job is a remote job and is open to candidates in USA. Proofpoint is a global leader in human- and agent-centric cybersecurity. The role focuses on software development and includes responsibilities for database management and infrastructure to support the Threat Intelligence team's systems.
Responsibilities
- 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
Skills
- 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
- Experience with FastAPI
- Experience with ClickHouse or other columnar/analytical datastores
- 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 PostgreSQL databases at scale
- Familiarity with building modern CLI/TUI tooling
- Familiarity working with Agentic/MCP technologies
Benefits
- 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
- Variable compensation and/or equity
- Flexible time off
- A comprehensive well-being program with two paid Wellbeing Days and two paid Volunteer Days per year
- Three-week Work from Anywhere option
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