[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

Company Overview

Company H1B Sponsorship