Job Description

About the Role

You will drive the development and operations of security-focused software solutions and analytical frameworks that support user-facing products and platforms across Uber. You are a passionate and pragmatic technologist who can design scalable systems and deliver high-quality code. In today’s evolving security landscape—especially with the adoption of ML/GenAI and the integration of heterogeneous data—new threats continue to emerge. With your expertise across major technology stacks, you will architect and implement advanced security solutions, with a strong focus on analyzing data to detect threats and vulnerabilities. You will work closely with security leaders and the broader engineering organization to ensure that Uber’s technologies and systems are built with security-by-design in mind.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Developing Security Solutions : Designing and implementing software solutions that enhance the organization’s security posture.
2. Threat Analysis and Detection : Analyzing large-scale datasets to identify patterns, anomalies, and potential threats.
3. Code Review and Testing : Writing, reviewing, and testing code to ensure reliability and security.
4. Research and Innovation : Exploring new analytical techniques, tools, and algorithms to advance cyber defense capabilities.
5. Training and Mentoring : Providing guidance to junior engineers on secure coding, data analysis techniques, and best practices.
6. Collaboration and Communication : Partnering with cross-functional teams (e.g., network operations, incident response, compliance) to build cohesive security strategies.

---- Basic Qualifications ----

1. BS/MS Degree in Computer Science or a related field.
2. 3+ years of industry experience in a software development environment.
3. Proficiency in programming languages such as Golang, Python, or SQL.
4. Hands-on experience analyzing data from distributed systems.
5. Strong problem-solving skills with the ability to derive insights from complex datasets.
6. Experience mentoring junior engineers and leading cross-functional projects.

---- Preferred Qualifications ----

1. Prior experience with security threat detection, anomaly detection, or data-driven risk assessment.
2. Familiarity with large-scale data analysis frameworks (batch or streaming).
3. Experience with ML techniques applied to threat detection and security.
4. Knowledge of infrastructure security, vulnerability assessment, and incident mitigation.
5. Experience leading design and development of complex, data-centric systems.

For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form .

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

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