Software Engineer II - (Full stack) Insurtech
UberJob description
- *About the Role**
We are looking for talented engineers who will lead one or more critical projects and apply fresh ideas to improve products and tech for Insurance at Uber. This role is a great opportunity to both grow your technical skills and ship highly impactful products.
- *What the Candidate Will Need / Bonus Points
- What the Candidate Will Do -
- Work closely with stakeholders to understand business requirements and build cross-functional solutions that impact all Insurance related business needs
- Contribute to the technical roadmap by developing innovative features and solving complex problems.
- Provide technical expertise while executing on product requirements.
- Design and collaborate with multiple partners, both internal and external to develop and maintain critical services and tools
- Drive and improve the scalability, reliability and efficiency of critical systems
- Basic Qualifications -
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience.
- Experience in hands-on software development with thoughtfulness of scale, latency and distributed architecture.
- Highly efficient coding in Golang, Java or any similar languages.
- Proven track record of delivering high-quality software and contributing to impactful projects.
- Ability to execute on a product roadmap and collaborate effectively with cross-functional teams.
- Excellent communication skills, both written and verbal.
- English proficiency.
- Algorithm & Data Structures fundamentals.
- Preferred Qualifications -
- Full-stack skills being able to contribute primarily across frontend and backend stack as needed. Well versed with using AI tools for code generation and boosting developer productivity.
- Hands-on experience with streaming and real-time data pipelines (e.g., Kafka-like systems, stream processing frameworks).
- Exposure to machine learning systems in production, including model integration, feature pipelines, or ML-powered decision systems.
- Exposure to GenAI (LLMs, Agentic systems)
- Strong background in scalability engineering, data consistency, and system observability**.
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp.
All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
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