Sr Applications Developer

About the role and team

The US&C Driver Adjudication team plays a critical role in supporting Uber's commitment to safety, fairness, and driver partner experience by reviewing safety-related incidents, determining compensation eligibility, and ensuring accurate and timely resolution of cases.

The Agent position is responsible for conducting detailed reviews of safety-related cases involving driver partners across the United States and Canada. This includes evaluating incident reports, reviewing investigation outcomes, assessing compensation eligibility based on established adjudication guidelines, and facilitating courtesy payments to eligible driver partners.

The role involves handling various safety-related scenarios, including physical and verbal altercations, discrimination, unsafe driving, suspected driving under the influence, weapons-related incidents, theft, and other safety concerns. Agents are expected to exercise sound judgment, interpret investigation findings, and ensure decisions are consistent with defined policies and process guidelines.

Additionally, the position involves managing end-to-end compensation workflows, including payment eligibility verification, outbound communications, payment processing, and accurate documentation of case outcomes.

The ideal candidate is a detail-oriented, analytical, and process-driven individual with strong investigative skills, sound decision-making abilities, and a commitment to maintaining accuracy, confidentiality, and operational excellence.

They must be comfortable working in a fast-paced environment, handling sensitive information, adapting to evolving process requirements, and collaborating with stakeholders to ensure consistent and fair outcomes for driver partners.

What you’ll do

As a US&C Driver Adjudication Agent, you will be tasked to:

Perform comprehensive reviews of safety-related cases involving driver partners across the United States and Canada, including physical altercations, verbal disputes, discrimination, unsafe driving, suspected DUI, weapons-related incidents, theft, and other applicable safety concerns.

Analyze incident reports, case histories, investigation findings, and supporting documentation using internal tools such as Safety Lens, Bliss, Sherlock, and SAFE Jira to determine appropriate adjudication outcomes.

Evaluate cases against established eligibility criteria, identify invalid or out-of-scope scenarios, and ensure accurate case classification and resolution in accordance with defined Standard Operating Procedures (SOPs).

Exercise sound judgment when assessing complex and sensitive safety incidents, including reviewing rider statements, driver responses, investigation findings, and historical safety records to determine compensation eligibility.

Determine driver partner compensation eligibility by applying established adjudication guidelines, ensuring decisions are fair, accurate, consistent, and aligned with process requirements.

Manage assigned workloads effectively while maintaining established quality, productivity, accuracy, and turnaround-time expectations, ensuring timely case resolution and operational efficiency.

Basic Qualifications

• 7 + years of professional experience in software development, systems architecture, or IT automation in a large-scale enterprise setting.
• Consistently writes and documents high-quality code to solve complex problems that span multiple related areas.
• Proven experience leading technical projects through the entire lifecycle, including requirements gathering, design, and productionization.
• Experience establishing monitoring, alerting, and testing standards and leading team efforts to execute against them.
• Ability to serve as an escalation point for other engineers to troubleshoot and manage severe incidents in production.
• Bachelor’s degree in Computer Science, Information Systems, or equivalent practical experience.

Preferred Qualifications

• Expert proficiency in Python, SQL, and modern automation frameworks, with a track record of building tools used at a global scale.
• Deep experience with LLM frameworks (LangChain, RAG) and applying GenAI to modernize enterprise workflows and developer velocity.
• Expertise in making sound engineering/business tradeoffs, considering short and long-term implications of architecture decisions.
• Strong leadership traits with a history of proactively mentoring engineers and raising the bar for engineering culture.