Senior / Staff Software Engineer (Foundation)

Join Proofpoint’s engineering organization and help build the systems and services that turn massive volumes of threat‑related data into usable, trusted information for analysts, researchers, and data scientists. In this role you will design, build, and improve data pipelines, platform capabilities, and supporting services that ingest, transform, store, and expose large‑scale security data, directly influencing how quickly and effectively the company can detect emerging threats and improve protections for customers.

Responsibilities

- Design, build, and improve data pipelines, platform capabilities, and supporting services that ingest, transform, store, and expose large‑scale security data.
- Define and implement new pipelines or datasets needed to investigate emerging threats, working closely with threat intelligence researchers and analysts.
- Develop and maintain production services that make data available in near real time to internal users.
- Build or maintain shared platform services, improving observability, hardening reliability, and reviewing architectural choices for new internal capabilities.
- Handle large, messy, high‑volume datasets and modern cloud services to build systems that are scalable, maintainable, and operationally sound.
- Ensure comprehensive testing, monitoring, alerting, documentation, and long‑term maintainability of all systems.
- Lead technical discussions, identify opportunities to simplify or strengthen shared systems, and guide implementation approaches across projects and engineers.

Qualifications





- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
- Senior level: typically 5+ years of relevant experience, or 7+ years in a similar role.
- Staff level: typically 7+ years of relevant experience, or 9+ years in a similar role.
- Expert‑level proficiency in at least one of the following languages: Java, 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.
- Recent hands‑on experience with relational databases and SQL such as MariaDB and MySQL.
- Recent hands‑on experience with Elasticsearch.
- Experience building and maintaining back‑end services, data pipelines, or other high‑volume distributed systems.
- Comfort working in Linux/Unix environments and using CLI‑based development and debugging workflows.
- Helpful experience with AWS services, especially data and serverless technologies such as SQS, Lambda, Glue, or Spark.
- Experience working with large‑scale analytics or near‑real‑time data processing systems.
- Familiarity with containers.
- Inquisitive mindset and 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.
- Commitment to engineering quality, including testing, operational readiness, and maintainable design.

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