Principal Software Engineer

At least 5 years of experience in data engineering, backend engineering, or platform engineering.

Strong proficiency in Python, with experience in Go or Rust considered a plus.

Experience working with cloud infrastructure, including compute, storage, networking, and IAM fundamentals.

Hands-on experience with message queues and pub/sub systems such as Kafka or RabbitMQ.

Experience with SQL databases such as Postgres or AWS RDS, and NoSQL databases such as MongoDB or Elasticsearch.

Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS Neptune or Neo4j.

Data Pipeline Ownership: Design, build, and maintain scalable data pipelines that collect, transform, and deliver structured threat intelligence data powering the Security Intelligence Graph.

Architecture & Scalability: Drive meaningful architectural improvements across data and platform systems to ensure long-term scalability, reliability, and performance.

Full-Stack Engineering: Work across both application code and infrastructure, contributing to backend services, data systems, and platform capabilities.

Data Processing & Analysis: Apply statistical techniques to large-scale datasets to generate accurate and impactful insights.

Reliability & Observability: Ensure production-grade pipeline reliability through strong observability, error handling, and failure recovery practices.

Infrastructure & Deployment: Build and maintain CI/CD pipelines and contribute to infrastructure-as-code practices to support efficient and repeatable deployments.