Principal Software Engineer

Join Recorded Future as a Principal Software Engineer, where you will be responsible for building and scaling the pipelines that power the Security Intelligence Graph. You will work across application code and infrastructure to collect, transform, and deliver structured threat data. Your role will involve driving architectural improvements, ensuring platform scalability, and collaborating with cross-functional teams.

• Design, build, and maintain scalable data pipelines that collect, transform, and deliver structured threat intelligence data.
• Drive meaningful architectural improvements across data and platform systems to ensure long-term scalability, reliability, and performance.
• Engage with technical leaders across teams and contribute to raising the engineering bar through knowledge sharing and best practices.
• Strong problem-solving skills, including the ability to debug both software and data issues
• At least 5 years of experience in data engineering, backend engineering, or platform engineering
• Excellent attention to detail and ability to work independently while delivering high-quality results
• Experience with SQL databases such as Postgres or AWS RDS, and NoSQL databases such as MongoDB or Elasticsearch
• Experience developing REST APIs using frameworks such as Flask, Django, or FastAPI
• Strong proficiency in Python, with experience in Go or Rust considered a plus
• Familiarity with infrastructure-as-code tools; Terraform experience is a plus
• Proven experience architecting and delivering production-grade applications and ETL/ELT pipelines
• Interest in or familiarity with security data domains such as threat infrastructure, malware, or network telemetry
• Experience building and maintaining CI/CD pipelines; GitHub Actions experience is a plus
• Strong understanding of building reliable data pipelines, including observability, error handling, and failure recovery
• Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS Neptune or Neo4j
• Bachelor’s and/or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience
• Comfort working with high-volume, complex, and unstructured data
• Hands-on experience with message queues and pub/sub systems such as Kafka or RabbitMQ
• Experience working with cloud infrastructure, including compute, storage, networking, and IAM fundamentals
• 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