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Uber Engineering Manager - Security 
United States, West Virginia 
591028905

20.03.2025

About the Role

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

  • Design and implement secure architectures for enterprise applications, 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.
  • 10+ 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, 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.

* 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 .