Sr Software Engineer

About The Role Uber is on the lookout for top-notch backend/data/AI software engineers to join the Data Security & Governance engineering team within the Privacy, Security & Risk org. This role involves designing, building and handling robust distributed backend and AI-powered systems that operate at Uber scale, enabling 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 Need / Bonus Points ---- What the Candidate Will Do ----

• As a Senior Software Engineer at Uber, you'll work on systems that are 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.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. 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 https://jobs.uber.com/en/benefits., For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. 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 https://jobs.uber.com/en/benefits.