Principal Software Engineer

- 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.

- Cross-Team Collaboration: Communicate technical concepts clearly and collaborate effectively across teams, geographies, and varying levels of technical expertise.

- Technical Leadership: Engage with technical leaders across teams and contribute to raising the engineering bar through knowledge sharing and best practices.

- At least 5 years of experience in end to end software engineering, with additional experience in data engineering or platform engineering.

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

- 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.

- Proven experience architecting and delivering production-grade applications and ETL/ELT pipelines.

- Strong understanding of building reliable data pipelines, including observability, error handling, and failure recovery.

- Comfort working with high-volume, complex, and unstructured data.

- Strong problem-solving skills, including the ability to debug both software and data issues.

- Excellent attention to detail and ability to work independently while delivering high-quality results.

- Interest in or familiarity with security data domains such as threat infrastructure, malware, or network telemetry.

- Bachelor's and/or Master's degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience.

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

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

- Experience building and maintaining CI/CD pipelines; GitHub Actions experience

- Familiarity with infrastructure-as-code tools; Terraform experience.

- Experience or interest in cybersecurity data domains such as malware analysis, phishing detection, or network telemetry.

- Experience working with graph-based data systems or security intelligence platforms.

The base salary range for this full-time position is $152,000-$228,500. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations.

Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.