Jobs
About the Role
The Core Security Engineering team at Uber is focused on making the production and corporate environments secure by default to provide industry-leading solutions for Uber's production services and infrastructure. As a manager in the IAM/core security engineering, you will leverage your solid software engineering and security background to lead the team that is dedicated in building Uber's IAM platform and ensuring the protection of Uber's core infrastructure. We are focused on building both security primitives and products that help other engineering teams to secure their systems, build trust, and advance security to enable our global business.
The ideal candidate has a deep understanding of software engineering fundamentals, experience with critical distributed systems/libraries, passionate about cybersecurity/IAM, excels at fostering team growth, and is not afraid to dive into the codebase to lead by example.
---- What the Candidate Will Do ----
- Lead a talented team of engineers who are responsible for designing, implementing, and maintaining advanced security solutions to strengthen Uber's security posture by securing Uber's infra, improving automation and efficiency, and working cross-functionally with various stakeholders to mitigate security risks.
- Design and implement secure architectures for Identity Access security, ensuring industry best practices.
- Provide technical leadership along with people management, focusing on delivering impactful solutions while maintaining technical excellence
- Provide thought leadership in leveraging Generative AI and Machine Learning to shift-left security.
- Partner with cross-functional teams, including IT, DevOps, and compliance, to enhance the organization's security posture.
- Communicate security risks, vulnerabilities, and solutions to stakeholders at all levels, ensuring clarity and alignment.
- Empower the team to excel in their roles by providing mentorship, guidance, and professional development opportunities.
- Stay informed on emerging security threats, trends, and technologies to continuously enhance security practices.
---- Basic Qualifications ----
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 8+ years of experience in software engineering
- 4+ years of experience in a leadership role.
- Strong hands-on technical skills, including proficiency in one or more programming languages (Go, Java, Python, C/C++) and code reviews.
- Deep understanding of software engineering fundamentals, including algorithms, data structures, system design, and architecture.
- Proven ability to lead technical projects end-to-end, from design through deployment.
- Strong problem-solving and decision-making skills with a bias for action.
- Experience building and scaling teams while maintaining a culture of technical excellence.
---- Preferred Qualifications ----
- Knowledge of cybersecurity concepts - especially Identity Access Management, tools, and best practices. Certifications in Security is a plus
- Experience with modern development practices (e.g., CI/CD, microservices, cloud platforms like AWS/GCP).
- Experience building out integrations with open-source and vendor products
- Experience with AI/ML technologies / frameworks and incorporating them into production systems
- Proven track record of driving technical innovation and solving complex engineering challenges.
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 fuelds progress. What moves us, moves the world - let's move it forward, together.
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.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
-
$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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