Staff Software Engineer

About The Role We are seeking a strong and passionate staff software engineer with experience in building distributed and scalable, secure systems. You will be responsible for creating scalable, reliable, manageable solutions that deliver on building platforms at Uber. You will be owning customer facing and agent facing support experience of millions of customers. Your responsibility will include identifying required changes across Uber's engineering ecosystem, collaborating with engineering teams, driving consensus, implementing extensible, maintainable changes required to build state-of-the-art support experiences. We are looking for someone who has passion for designing and driving large projects from inception to production. The right person will work with stakeholders, product managers, scientists, partner engineering teams to gather requirements and translate them into a platform feature. Must be a great communicator, team player, and a technical powerhouse.

• Basic Qualifications ----
• 9+ years of experience in software development.
• Experience with:
• Scalable system architecture design
• Production-quality services, deployment, monitoring, and reliability.
• Micro service designs, gRPC or REST API development
• Ability to decompose complex business problems into clean, extensible, performant services and systems
• Logging, monitoring, performance troubleshooting and tuning experience
• Excellent problem-solving skills and the ability to work in a collaborative team environment
• Comfortable in navigating multi-disciplinary teams with respect
• Focus on code quality in terms of coverage, code reviews
• Excellent technical writing skills to communicate design, requirements, flows, architecture
• Fluent in one of these programming languages: Golang, Scala, Java,
• Comfortable in one of these scripting languages: Javascript, python
• Solid understanding of algorithms, data structures, and software design principles.
• Experience with version control systems such as Git.

Preferred Qualifications

• Experience in machine learning, GenAI, or LLM technologies.
• Experience with building conversational assistants
• Dialog management systems like Google Dialogflow, Amazon Alexa
• Familiarity with large scale distributed systems like Kafka and cloud platforms like AWS, GCP, or Azure.
• Familiarity with communication channel interfaces eg: WhatsApp, SMS, slack ~~ ~~