Sr Software Engineer, AI and Backend

Sr Software Engineer, AI and Backend Department: Engineering Team: Backend Location: Seattle, United States Type: Full-Time **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 con