Description
Recorded Future is seeking a Principal Software Engineer to join our Engineering team, responsible for building and scaling the pipelines that power the Security Intelligence Graph.
As a Principal Software Engineer, you will work across application code and infrastructure to collect, transform, and deliver structured threat data: tracking malware infrastructure, phishing campaigns, spam networks, command-and-control systems, and more.
Responsibilities
- Design, build, and maintain scalable data pipelines that collect, transform, and deliver structured threat intelligence data powering the Security Intelligence Graph.
- Drive meaningful architectural improvements across data and platform systems to ensure long-term scalability, reliability, and performance.
- Work across both application code and infrastructure, contributing to backend services, data systems, and platform capabilities.
- Apply statistical techniques to large-scale datasets to generate accurate and impactful insights.
- Ensure production-grade pipeline reliability through strong observability, error handling, and failure recovery practices.
- Build and maintain CI/CD pipelines and contribute to infrastructure-as-code practices to support efficient and repeatable deployments.
- Communicate technical concepts clearly and collaborate effectively across teams, geographies, and varying levels of technical expertise.
- Engage with technical leaders across teams and contribute to raising the engineering bar through knowledge sharing and best practices.
Requirements
- 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.
- Experience developing REST APIs.
- 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.
Preferred Qualifications
- 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.