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 ----

1. 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.
2. 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.
3. 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 ----

1. 6+ years of professional industry experience and BS or MS in Computer Science or a related technical discipline, or equivalent practical experience.
2. Strong coding skills in one or more of Go, Java, Python, or C++.
3. Solid understanding of algorithms, data structures, and distributed systems.
4. Proven experience building and operating production backend or AI systems at scale.

---- Preferred Qualifications ----

1. Experience designing, building, and operating large-scale backend and distributed systems in production (e.g., microservices, APIs, data-intensive services).
2. Solid understanding of distributed systems fundamentals, including consistency models, fault tolerance, scalability, and performance trade-offs.
3. 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.
4. Familiarity with LLM platforms, model serving, inference pipelines, or AI safety/guardrail systems.
5. Experience designing evaluation frameworks, monitoring, and observability for complex systems (backend or AI).
6. 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Client-provided location(s): Seattle, WA

Job ID: Uber-154666

Employment Type: FULL_TIME

Posted: 2026-01-31T19:57:26