SOFTWARE DEVELOPER II
Role details
Job location
Tech stack
Job 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.
Requirements
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.
Benefits & conditions
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$67,703 - $90,270 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY $71,088 - $94,784 in these states: CO HI MI MN NC NH NV OR RI $74,474 - $99,297 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen's: Benefits
Bonus Structure
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