About the Role
As a Senior Software Engineer for the New Business team, you will lead engineering efforts that shape the future of Uber's consumer-facing support experiences in next-generation mobility & delivery space.
What the Candidate Will Need / Bonus Points
We are seeking a strong and passionate software engineer with experience in building products leveraging AI/ML. You will be responsible for creating scalable, reliable, manageable solutions that deliver on requirements at Uber by bringing together platforms leveraging AI at Uber. You will be owning customer facing products that impact the 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.
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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 ----
- Bachelors Degree, or above, in Comp Science or related field
- Scalable system architecture design experience
- 6+ years of experience in a software engineering role
- Production-quality services, deployment, monitoring, and reliability.
- Microservice 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
For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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.