Threat Detection Engineer Jobs (NOW HIRING)

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The Senior Threat Detection Engineer at Jones Lang LaSalle (JLL) leads the engineering, creation, and tuning of advanced detection capabilities. This role bridges threat hunting, data engineering, and automation to protect enterprise and cloud-native environments from sophisticated threat actors.

Key Responsibilities

• Detection Engineering: Design, implement, and tune high-fidelity detection rules across SIEM, EDR/XDR, and cloud-native SaaS platforms.
• Data Pipeline Management: Work with centralized logging, data lakes, and detection telemetry.
• Threat Modeling & Hunting: Proactively analyze attacker tactics, techniques, and procedures (TTPs) and execute hypothesis-driven threat hunting campaigns.
• Automation & AI Integration: Implement security automations using SOAR platforms and explore AI/ML and Large Language Models (LLMs) to enhance incident response and automated response actions.
• Collaboration: Partner closely with SOC, Red Team, and Threat Intel to validate signal quality, reduce false positives, and improve MITRE ATT&CK coverage.
• Mentorship: Provide technical guidance and mentorship to junior and mid-level security engineers.

Typical Requirements & Qualifications

• Experience: 4-8+ years in cybersecurity, with a heavy emphasis on threat detection, incident response, or SOC operations.
• Education: Bachelor's degree in Computer Science, Information Security, Cybersecurity, or a related quantitative field.
• Demonstrative experience in developing automation solutions for Cyber Security
• 5+ years Information Technology experience
• 4+ years of Cyber Security Experience
• 2+ years of any SOAR tool experience (Splunk SOAR, Sentinel, Swimlane, etc
• Experience in utilizing CI/CD tools (such as GitHub Actions) to automate build, test, and deployment processes, ensuring smooth and efficient software delivery
• Familiarity with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) to automate infrastructure provisioning and ensure consistent environments throughout the development lifecycle
• Strong verbal communications skills and concise written communication skills
• Strong organizational and multi-tasking and time management skills
• Prefers to work in agile team environment

Technical Skills:

The Senior Threat Detection Engineer at Jones Lang LaSalle (JLL) leads the engineering, creation, and tuning of advanced detection capabilities. This role bridges threat hunting, data engineering, and automation to protect enterprise and cloud-native environments from sophisticated threat actors.

Key Responsibilities

• Detection Engineering: Design, implement, and tune high-fidelity detection rules across SIEM, EDR/XDR, and cloud-native SaaS platforms.
• Data Pipeline Management: Work with centralized logging, data lakes, and detection telemetry.
• Threat Modeling & Hunting: Proactively analyze attacker tactics, techniques, and procedures (TTPs) and execute hypothesis-driven threat hunting campaigns.
• Automation & AI Integration: Implement security automations using SOAR platforms and explore AI/ML and Large Language Models (LLMs) to enhance incident response and automated response actions.
• Collaboration: Partner closely with SOC, Red Team, and Threat Intel to validate signal quality, reduce false positives, and improve MITRE ATT&CK coverage.
• Mentorship: Provide technical guidance and mentorship to junior and mid-level security engineers.

Typical Requirements & Qualifications

• Experience: 4-8+ years in cybersecurity, with a heavy emphasis on threat detection, incident response, or SOC operations.
• Education: Bachelor's degree in Computer Science, Information Security, Cybersecurity, or a related quantitative field.
• Demonstrative experience in developing automation solutions for Cyber Security
• Experience in utilizing CI/CD tools (such as GitHub Actions) to automate build, test, and deployment processes, ensuring smooth and efficient software delivery
• Familiarity with infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) to automate infrastructure provisioning and ensure consistent environments throughout the development lifecycle
• Strong verbal communications skills and concise written communication skills
• Strong organizational and multi-tasking and time management skills
• Prefers to work in agile team environment

Technical Skills:

• Advanced proficiency in detection querying languages (e.g., KQL, SPL, SQL).
• Scripting and automation capabilities in languages like Python or Go.
• Strong working knowledge of cloud infrastructures (AWS, Azure) and container environments.

Certifications: Highly desirable to hold industry-recognized certifications like GIAC, CISSP, or equivalent.

Certifications: Highly desirable to hold industry-recognized certifications like GIAC, CISSP, or equivalent.

This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.

Estimated compensation for this position:

190,000.00 - 210,000.00 USD per year

This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.

Location:

Remote -Austin, TX

If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!

Personalized benefits that support personal well-being and growth:

JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:

• 401(k) plan with matching company contributions

• Comprehensive Medical, Dental & Vision Care

• Paid parental leave at 100% of salary

• Paid Time Off and Company Holidays

• Early access to earned wages through Daily Pay

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you'repursuing.

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Accepting applications on an ongoing basis until candidate identified.