Software Engineer, Product Security Data Platforms

Job Description

Stripe is a financial infrastructure platform for businesses. Millions of companies,from the world's largest enterprises to the most ambitious startups,use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet.

The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. You will contribute to a large-scale customer-facing security data pipeline and presentation layer.

Responsibilities

• Build scalable foundations. Implement components of a highly available, low-latency pipeline capable of processing and augmenting millions of events per second into structured security telemetry.
• Build API-first products. Develop core services and streaming APIs that enable enterprise customers to ingest security signals into their internal security operations centers and analytics tools.
• Engineer security signals. Partner with security researchers and threat detection experts to build logic that identifies anomalous behavior and surfaces high-fidelity security insights.
• Contribute to technical design. Participate in discussions on data modeling, storage strategies, and the abstraction layers that will support future security products.
• Raise the bar for quality. Write clean, well-tested code and contribute to a culture of code quality, system resilience, and operational maturity for a product that requires 99.99%+ availability.
• Collaborate cross-functionally. Work closely with Stripe's core platform and data teams to leverage global infrastructure while ensuring security data remains isolated and protected.

Requirements

• 2+ years of professional software development experience, with a history of shipping and maintaining complex, large-scale systems.
• Expertise in data engineering and distributed systems, with deep experience building and operating high-throughput data pipelines (e.g., Kafka, Flink, Spark, or similar streaming technologies).
• Strong programming fundamentals, significant experience in languages like Java, C++, or Rust.
• Operational mindset, experience maintaining business-critical services with high availability requirements, on-call rotation, and a strong focus on observability and debugging.
• Communication and collaboration skills, excellent technical writing skills for drafting design documents and the ability to mentor other engineers while collaborating with non-technical stakeholders.