Detection Engineer, Insider Risk

As part of the Threat and Incident Management team, you will support TikTok's inside threat operation. You will utilize analytical methods to understand insider risk patterns and establish models for forecasting insider risk scenarios. The candidate will also collaborate with stakeholders from data engineers to executives, prioritizing data sources for onboarding into risk models and gathering requirements for dashboards to provide a holistic view on operations.

Responsibilities
- Act as a force multiplier across the business by optimizing processes and gaining alignment across stakeholders.
- Assist in analyzing large and complex datasets to uncover anomalous behavior and potential threats.
- Triage and investigate alerts from tools such as SIEM, DLP, UEBA, and EDR, escalating when appropriate.
- Support real-time response efforts by participating in incident handling, root cause analysis, and documentation.
- Collaborate with other detection engineers and system owners to refine and test detection logic, reduce false positives, improve log coverage, and improve detection precision.
- Maintain and support compliant data flows and automation access to allow for interoperability across various business regions.
- Document detection logic, investigations, and workflow improvements clearly and concisely.
- Identify opportunities to automate repetitive tasks and support initiatives involving scripting, code, or ML-based improvements.
- Work with cross functional teams globally to ensure alignment, collect feedback on automations, and deploy solutions to get cross functional adoption.

Qualifications

Minimum Qualifications
- Proficiency in Python and SQL
- Working knowledge of SIEM tools (e.g., Splunk, Sentinel), endpoint detection tools, or DLP platforms.
- Familiarity with security alerts and triage processes.
- Strong problem-solving and analytical thinking skills.
- Understanding of current industry data analytical capabilities and shortcomings
- Strong technical documentation and reporting skills
- Ability to handle confidential information with discretion

Preferred Qualifications
- Bachelor's degree or industry equivalent work experience in Computer Science or Computer Engineering
- 3+ years of industry experience as an engineer
- Experience working in a Security Team
- Working knowledge of cloud platforms (i.e. OCI, GCP, AWS, etc)
- Knowledge of the signals of both insider and external threat actors, their tactics and procedures, and how they evolve or change over time.
- An individual that will thrive on a fast paced and high performing team with a strong drive to learn
- Demonstrates excellent organizational, time management, and problem-solving skills
- Works well under pressure and within time/budget constraints to solve problems or meet objectives
- Ability to communicate technical concepts to a broad range of technical and non-technical staff

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $145000 - $250000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.