Staff Software Engineer
$232kUber Technologies Inc
Job Description Uber's Customer Obsession (CO) org is hiring Staff Software Engineers to help define and scale one of the world's largest AI-powered customer engagement platforms . Our systems power millions of real-time interactions across web, mobile, chat, voice, and video for riders, eaters, merchants, couriers, and support agents worldwide. As a Staff Engineer, you'll operate at the intersection of state-of-the-art AI and Uber's production-grade engineering infrastructure-shaping the technical strategy for conversational experiences that are personalized, empathetic, and human-like , while remaining aligned with Uber's business policies, compliance requirements, and reliability standards . This is a high-impact role with broad scope: you'll influence platform direction, accelerate multiple teams, and deliver durable systems that improve customer experiences at global scale. What You'll Do We're looking for a seasoned technical leader who combines deep engineering expertise with strong product intuition. You'll set direction and drive execution for platform-level capabilities that power customer-facing assistants-bringing together LLM prompting/agent design , Uber's assistant-building platforms, and highly reliable distributed systems. In this role, you will:
Preferred Qualifications
- Set the technical vision and architecture for next-generation conversational assistants, influencing roadmaps across multiple teams and partner orgs
- Lead and de-risk large, multi-quarter initiatives , including migrations from legacy NLP systems to GenAI assistants and continued evolution of GenAI capabilities (quality, safety, latency, cost, evaluation)
- Own critical platform components (not just individual bots): frameworks, tooling, orchestration, observability, guardrails, and scalable backend services that enable consistent experiences across channels
- Drive cross-org alignment and execution , identifying ecosystem gaps, defining interfaces/standards, and building consensus to deliver production-ready implementations at scale
- Solve complex distributed systems and operational challenges under heavy traffic, raising the bar on reliability, performance, and operational excellence
- Establish mechanisms to measurably improve outcomes-reducing time-to-resolution, improving containment/CSAT, and scaling automation responsibly
- BS degree or higher in Computer Science or a related field (or equivalent practical experience)
- 8+ years of industry experience as a Software Engineer building scalable, highly available platforms
- Expertise with large-scale distributed systems (e.g., Kafka) and cloud platforms ( AWS, GCP, Azure ) and proven track record leading the delivery of production-grade systems (deployment, monitoring, reliability, on-call readiness, incident learning)
- Proficiency in at least one: Golang, Scala, or Java and comfortable with scripting in JavaScript and/or Python
- Strong experience with microservices and gRPC/REST API design, including defining durable interfaces and platform standards
- Excellent cross-functional communication skills: crisp design docs, architecture reviews, stakeholder alignment, and technical decision-making
Preferred Qualifications
- Experience designing and operating GenAI/LLM-based systems in production, including evaluation, prompt/agent iteration loops, and safety/quality guardrails
- Prior experience building conversational platforms (assistant frameworks, orchestration, dialog/state management, tooling) rather than only individual chatbot implementations
- Familiarity with dialog management ecosystems (e.g., Google Dialogflow, Amazon Alexa ) and patterns for multi-turn conversation handling
- Familiarity with multi-channel customer communication surfaces (e.g., WhatsApp, SMS, Slack ) and building consistent experiences across channels
Vacancy posted 2 days ago
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