Senior Software Engineer

About The Role

Uber is seeking top-notch backend/data/AI software engineers to join the Data Security & Governance engineering team within the Privacy, Security & Risk organization. This Senior Software Engineer role involves designing, building, and handling robust distributed backend and AI-powered systems that operate at Uber scale. The goal is to enable engineering teams to safely innovate with ML/GenAI in an open, decentralized environment. If you enjoy working on foundational platforms, production-grade AI systems, and solving hard technical problems at scale, this role is for you.

What the Candidate Will Do

As a Senior Software Engineer at Uber, you'll work on systems closest to the business and foundational to the company's security posture. You will build user-facing and platform products, handle and store thousands of transactions per second, and develop intelligent security, privacy, and risk prevention strategies that scale. You will lead the design, development, and maintenance of backend services, frameworks, and AI-powered platforms that support user-facing products, downstream services, and internal infrastructure across Uber. You are a passionate and pragmatic technologist, capable of designing highly scalable systems while delivering efficient, production-quality code. As the privacy and security landscape continues to evolve—with the rapid adoption of ML and AI systems operating over large, heterogeneous datasets—the scope and sophistication of threats continue to grow. Leveraging your deep expertise across modern technology stacks, you will architect, implement, and scale industry-leading AI, data security, and privacy solutions for the entire company.

Basic Qualifications

• 6+ years of professional industry experience and BS or MS in Computer Science or a related technical discipline, or equivalent practical experience.
• Strong coding skills in one or more of Go, Java, Python, or C++.
• Solid understanding of algorithms, data structures, and distributed systems.
• Proven experience building and operating production backend or AI systems at scale.

Preferred Qualifications

• Experience designing, building, and operating large-scale backend and distributed systems in production (e.g., microservices, APIs, data-intensive services).
• Solid understanding of distributed systems fundamentals, including consistency models, fault tolerance, scalability, and performance trade-offs.
• Experience applying ML/AI techniques to security, privacy, or risk-related domains (e.g., agentic workflow, data classification, PII or sensitive data detection) is a strong plus.
• Familiarity with LLM platforms, model serving, inference pipelines, or AI safety/guardrail systems.
• Experience designing evaluation frameworks, monitoring, and observability for complex systems (backend or AI).
• Proven track record of technical ownership, from design through production rollout and long-term maintenance.

Key skills/competency

• Backend Development
• Distributed Systems
• AI/ML Engineering
• Data Security
• Privacy Engineering
• System Design
• Software Architecture
• Go, Java, Python, C++
• Scalability
• Risk Management