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# SOFTWARE DEVELOPER II

- **Company:** Lumen Technologies, Inc
- **Location:** United States (Remote available)
- **Salary:** $67,703.0 - $99,297.0
- **Contract:** Permanent contract
- **Skills:** Network Analysis, Cyber Security, Computer Programming, Data Structures, Distributed Data Store, Apache Hadoop, Monitoring of Systems, Iterative and Incremental Development, Intrusion Detection and Prevention, Python (Programming Language), Machine Learning, Network Architecture, Software Deployment, Software Engineering, Feature Engineering, Apache Spark, Cyber Threat Analysis, Machine Learning Operations, Data Pipelines
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b677ab0a09681b5c

## About the Role

Ideally, we're looking for someone that has a strong background in software development that exhibits:

 * Strong programming skills in Python with experience building production-grade ML pipelines.
 * Experience working with large-scale or distributed data systems (e.g., Spark, Hadoop-based ecosystems, or similar)
 * Understanding of data structures, algorithms, and statistical analysis.
 * A strong desire to learn and play with new technologies and techniques.
 * Experience with iterative development methodologies and practices.

The following are not required, but are things that we look for to raise resumes up to the top of our stack:

 * Experience applying ML in cybersecurity, threat intelligence, threat detection, or network analysis domains.
 * Familiarity with graph analytics, network flow data, or internet infrastructure modeling.
 * Exposure to MLOps practices, model monitoring, and production deployment at scale.
 * Background working alongside security analysts, reverse engineers, or security research teams.

## Description

Black Lotus Labs is seeking a Software Developer to design, build, and deploy ML-driven systems that detect, and classify advanced cyber threats across massive internet-scale datasets. This role works closely with data engineers, security researchers, and threat intelligence analysts to operationalize machine learning models that directly support threat hunting detection and automated defense., * Design, develop, and deploy machine learning models in collaboration with security researchers and threat intelligence analysts to identify and validate malicious actors and behaviors across large-scale network telemetry.

 * Work with petabyte-scale datasets and distributed data platforms to operationalize ML models in production environments supporting real-time or near-real-time detection.
 * Collaborate with threat intelligence analysts and security researchers to translate attacker TTPs into scalable ML-driven detections.
 * Build data pipelines and feature engineering workflows that enhance intelligence datasets with more actionable insights and context.
 * Document models, methodologies, and results for internal stakeholders.


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