Lead Cyber Defense Threat Analytics Engineer (Remote Work Option)

Nike; Oregon, Beaverton (IL, OR); Hybrid; USD 119,000 - 268,000; Full time

Job summary

Nike seeks a Cyber Threat Analytics leader to enhance security capabilities through AI and ML. The ideal candidate will have significant experience in information security, data engineering, and proficiency in programming languages. This role involves collaboration with a skilled team to optimize detection processes and build scalable security systems.

Qualifications

• At least five years in IT, with three in cyber security.
• Extensive data engineering and lakehouse development experience.
• Proficiency in Python, JavaScript, and Go.

Responsibilities

• Automating and optimizing data processes and integrating AI/ML models.
• Building scalable databases and distributed systems for security data.
• Partnering with Detection Engineers to deploy ML algorithms.

Skills

Information Security

Problem-Solving

Decision-Making

Data Engineering

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

AWS Cloud

CI/CD pipelines

Splunk

Devo

SumoLogic

Job description

Open to remote work except in South Dakota, Vermont, and West Virginia.

The annual base salary for this position ranges from $119,400 to $267,500, depending on location, qualifications, skills, and experience. Benefits information can be found here.

WHO YOU’LL WORK WITH

This role provides technical leadership supporting the Cyber Threat Analytics (CTA) team within our Cyber Defense organization. CTA includes cyber security operations, engineering professionals, data scientists, and IT experts with extensive data and analytics experience.

WHO WE ARE LOOKING FOR

We seek a professional to lead our efforts in aligning security data with advanced AI and ML techniques to enhance our Detect and Respond capabilities. The ideal candidate is rational, balanced, professional, discreet, and experienced in information security, problem-solving, and decision-making under pressure. You should have:

• Bachelor's degree in Computer Science or related field, or equivalent experience and training
• At least five years in IT, with three in cyber security
• Extensive data engineering and lakehouse development experience, especially with Databricks
• Proficiency in Python, JavaScript, and Go
• Experience with AWS Cloud engineering and CI/CD pipelines
• Background in full-stack application development
• Familiarity with search platforms like Splunk, Devo, SumoLogic, and SIEM tools
• Strong communication skills
• Experience with security policies, incident response, and confidentiality

Preferred but not required skills include:

• Implementing GenAI and ML in cyber security
• Certified Big Data Administrator/Architect
• Knowledge of ML and anomaly detection
• Experience with insider threat detection
• Automated server configuration tools (Puppet, Chef)
• Success in fast-paced, tech-driven environments
• Certifications like CISSP or GIAC
• Agile work experience

WHAT YOU’LL WORK ON

If selected, you'll collaborate with the Cyber Threat Analytics team on:

• Automating and optimizing data processes and integrating AI/ML models to improve detection
• Building scalable databases and distributed systems for security data
• Partnering with Detection Engineers to deploy ML algorithms for threat detection

We provide accommodations during the interview process, including assistive technologies and accessible facilities. If you require an accommodation, please complete the Candidate Accommodation Request Form.