\\\\About the Role\\\\ We are seeking a talented and experienced \\\\Sr Software Engineer\\\\ to join our \\\\Threat Defense and Response\\\\ team and help drive the next generation of \\\\AI-powered cyber defense capabilities\\\\ . This role will focus on advancing our ability to identify, research, investigate, and respond to evolving threats across cyber defense. As cyber threats grow in speed and sophistication, this role will be instrumental in architecting and scaling security solutions that combine advanced engineering with AI. You will collaborate with cross-functional engineering, ML, and security teams, build automation that amplifies human defenders, and shape Uber's cyber defense strategy. What the Candidate Will Do ---- 1\\. Design and develop scalable, reliable, and high-performance software platform and services for Uber's cyber defense 2\\. Drive development of AI agents that support cyber defense workflows including threat intelligence, hunting, research, and more. 3\\. Collaborate with cross-functional cybersecurity experts to translate requirements into automated, production-ready capabilities. 4\\. Collaborate with cross-functional software engineering teams to build end-to-end cyber defense solutions. 5\\. Contribute to strategy by defining what good looks like across cyber defense domains and guiding the team toward measurable outcomes. 6\\. Deliver high-quality, secure code and mentor junior engineers in engineering best practices. \-\-\-\- Basic Qualifications ---- 1\\. Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related technical field 2\\. 6+ years of experience in software engineering, with a focus on building and scaling systems 3\\. Proficiency in at least one of the following programming languages: C++, Java, Go, or Python 4\\. Strong experience in backend software architecture design 5\\. Experience in building and evaluating AI agents/agentic workflows end-to-end 6\\. Hands-on experience with cloud environments (AWS, GCP, or Azure) and containerized platforms (Docker, Kubernetes) \-\-\-\- Preferred Qualifications ---- 1\\. Master's or PhD degree in Computer Science, Engineering, Cybersecurity, or a related field 2\\. Experience with AI/ML technologies and frameworks and incorporating them into production systems 3\\. Knowledge of cybersecurity concepts, principles, tools, and best practices. Hands-on experience in a cybersecurity domain (e.g. red teaming, threat intelligence, threat hunting, threat modeling, vulnerability management, detection engineering, incident response) would be a plus 4\\. Proven track record of leading complex software projects from inception to delivery 5\\. Strong problem-solving skills and a passion for innovation For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link Uber is proud to be an Equal Opportunity/Affirmative Action 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-

The role requires a Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related technical field. Candidates need at least 6 years of experience in software engineering, with a focus on building and scaling systems. Proficiency in C++, Java, Go, or Python is necessary, along with strong experience in backend software architecture design. Experience in building and evaluating AI agents/agentic workflows end-to-end is also required. Hands-on experience with cloud environments like AWS, GCP, or Azure, and containerized platforms such as Docker and Kubernetes is needed. A Master's or PhD degree in a related field is preferred, as is experience with AI/ML technologies and frameworks.