Lead Information Security Engineer

Lumen Lead Information Security Engineer Providence, Rhode Island Apply Now

Lumen is guided by our belief that humanity is at its best when technology advances the way we live and work. With 450,000 route fiber miles serving customers in more than 60 countries, we deliver the fastest, most secure global platform for applications and data to help businesses, government and communities deliver amazing experiences.

The Role

Lumen’s Black Lotus Labs is seeking a Linux Information Security Engineer to join our US-based Information Security / Big Data team. This small team of passionate security researchers works on vast, unique information security related data sets using our distributed computing cluster. The team is looking for a knowledgeable Linux admin with a passion for learning, running distributed systems, and an interest in the security domain. This is a team of people that love to be creative, learn new things, and innovate using their expertise to make an impact in the information security world. If you enjoy being at the cutting edge of technology and making the Internet a safer place, then this is the job for you.

This position will work within the platform and infrastructure of Black Lotus Labs, supporting the ongoing operations of a big data infrastructure that is used to ingest, parse, store, and analyze cyber threats, as well as supporting the operations of other systems to facilitate cyber security research and analysis. The work effort of the role is focused on the ongoing operational support of on-premises and cloud hosted Linux (Ubuntu) systems that support our Hadoop ecosystem (HBase, HDFS, Spark, Kafka, etc.), Elasticsearch and Redis clusters, Docker using Docker Swarm, a malware environment, and a network of honeypots.

The Main Responsibilities

1. Manage a compute cluster of 200+ machines
2. Tune and optimize systems
3. Monitor and contribute to alerting systems
4. Respond to system alerts
5. Investigate system resource and process issues
6. Add to the monitoring and alerting systems

What We Look For in a Candidate

Candidates must have a strong background demonstrating:

1. Knowledge of big data distributed systems like Hadoop
2. Knowledge of Linux administration
3. Knowledge of system logging
4. Knowledge of host networking

Highly desired skills, experience, or knowledge will include:

1. Experience with Linux system usage or administration
2. Experience with distributed Systems
3. Experience with Docker and Docker Swarm
4. Experience with Git repository
5. Scripting and automation (Bash/Python) of systems
6. Experience with CI/CD deployment tools
7. Experience with task tracking software like Jira
8. Administrating virtual machines on cloud providers
9. Securing Linux systems and associated applications
10. Managing systems with infrastructure tools like Salt, Bash, Ansible, or Puppet
11. Administrating ElasticSearch clusters

EEO Statement

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, 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.

Disclaimer

The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions.

Salary Range

Salary Min: 94420

Salary Max: 145770

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.