About Us:
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
The Role
As a Senior or Staff Engineer, you will partner with other developers, threat analysts, and data scientists to understand what data, services, and workflows they need in order to support critical business and security use cases. You will design, build, and improve data pipelines, platform capabilities, and supporting services that ingest, transform, store, and expose large-scale security data. Your work will directly influence how quickly and effectively Proofpoint can detect emerging threats, understand attacker behavior, and improve protections for our customers.
This is a hands-on engineering role with meaningful impact. You will work across cloud infrastructure, backend services, data pipelines, storage systems, and internal platforms to make high-volume data reliable, discoverable, and actionable. This role includes helping shape technical direction, drive engineering quality, and raise the effectiveness of the broader team through leadership, mentoring, and sound technical judgment.
What you'll do
Define new pipelines or datasets to investigate an emerging campaign
Implement or improve a production service that makes the data available in near real time to internal users
Work with large, messy, high-volume datasets and modern cloud services to build systems that are scalable, maintainable, and operationally sound
Build or maintain shared platform services, improve observability, harden reliability, or review architectural choices for a new internal capabilities
Work with large, messy & high volume datasets and modern cloud services to build systems that are scalable, maintainable and operationally sound.
Help lead technical discussions, identify opportunities to simplify or strengthen shared systems, and guide implementation approaches across projects and engineers.
Think beyond just code delivery, including testing, monitoring, alerting, documentation, and long-term maintainability.
What we're looking for
An inquisitive mindset and the ability to learn where data exists in a large, distributed system, what it means, and how it can be used effectively
Strong ability to build reliable services, tools, and data pipelines that make complex data usable at scale
A commitment to engineering quality, including testing, operational readiness, and maintainable design
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience
7+ years of relevant engineering experience
Expert-level proficiency in at least one of the following languages: Java, Golang, Node.js, Scala, or Go
Experience designing, building, and operating production-level software in a public cloud environment
Experience building systems with strong operational foundations, including testing, monitoring, and alerting, to support demanding SLAs at scale
Experience with relational databases and SQL such as MariaDB and MySQL required
Recent hands-on experience with Elasticsearch required
Experience building and maintaining backend services,
