Job Details
SOFTWARE DEVELOPER II
**About Lumen**
Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.
We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
**The Role**
**About Black Lotus Labs**
Black Lotus Labs is the threat research and intelligence arm of Lumen Technologies, leveraging unmatched global network visibility to identify, track, and disrupt malicious cyber activity at scale. The team uses large-scale network telemetry and machine learning to automate protection, proactively neutralize threats, and keep the internet clean.
**Role Overview**
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.
**Location**
This is a remote position open to candidates based anywhere in the U.S.
**The Main Responsibilities**
+ 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.
**What We Look For in a Candidate**
**Qualifications**
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.
**Compensation**
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 (https://jobs.lumen.com/global/en/benefits-statement)
Bonus Structure
`#LI-Remote
**What to Expect Next**
Requisition #: 341508
**Background Screening**
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (https://jobs.lumen.com/global/en/faq) . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
**Equal Employment Opportunities**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
**Privacy Notice**
Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.
To review Lumen's Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice
**Disclaimer**
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
Lumen connects the world. We are igniting business growth by connecting people, data and applications - quickly, securely, and effortlessly. Together, we are building a culture and company from the people up - committed to teamwork, trust and transparency. People power progress.
We're looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.
**The Role**
**About Black Lotus Labs**
Black Lotus Labs is the threat research and intelligence arm of Lumen Technologies, leveraging unmatched global network visibility to identify, track, and disrupt malicious cyber activity at scale. The team uses large-scale network telemetry and machine learning to automate protection, proactively neutralize threats, and keep the internet clean.
**Role Overview**
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.
**Location**
This is a remote position open to candidates based anywhere in the U.S.
**The Main Responsibilities**
+ 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.
**What We Look For in a Candidate**
**Qualifications**
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.
**Compensation**
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 (https://jobs.lumen.com/global/en/benefits-statement)
Bonus Structure
`#LI-Remote
**What to Expect Next**
Requisition #: 341508
**Background Screening**
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page (https://jobs.lumen.com/global/en/faq) . Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
**Equal Employment Opportunities**
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
**Privacy Notice**
Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.
To review Lumen's Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice
**Disclaimer**
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
Job #NLX289712617