Principal Software Engineer

Recorded Future•Boston, MA

5d•Remote

About The Position

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. You will play a key role in driving architectural improvements and ensuring the platform scales effectively as it continues to grow.

Requirements

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.
Experience developing REST APIs using frameworks such as Flask, Django, or FastAPI.
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.
Experience building and maintaining CI/CD pipelines; GitHub Actions experience is a plus.
Familiarity with infrastructure-as-code tools; Terraform experience is a plus.
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.

Nice To Haves

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.

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.