Software Engineer 2

Software Engineer 2 Department: Engineering Team: Backend Location: Bangalore, India Type: Full-Time **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- As a **Software Engineer**, you won't just be writing code; you'll be leading key initiatives that directly impact our team's biggest goals. You'll collaborate closely with product and design experts to turn initial ideas into robust technical designs and then launch them into the world. Here’s what you’ll be doing: 1. Crafting a **strategic roadmap** that cements Uber's leadership as the go-to platform for autonomous ridesharing. 2. Overseeing the full lifecycle of multiple projects across different business areas, leveraging your deep understanding of user experience, marketplace dynamics, and platform versatility to hit key metrics. 3. Delivering **new products and revolutionary paradigms** that consistently boost our KPIs, all while keeping our platform rock-solid. Developing **cutting-edge tech** that not only prepares Uber for future autonomous vehicle innovations but also makes a wider impact across the entire company. \-\-\-\- Basic Qualifications ---- 1. **3+ years of backend engineering expertise.** 2. Skilled in a core **programming language** (e.g., C, C++, Java, Python, or Go). A strong foundation in **product development**. \-\-\-\- Preferred Qualifications ---- 01. **2+ years of overall software development experience.** 02. Proven track record with rapid, **metrics-driven product iterations**, always prioritizing reliability. 03. Extensive experience designing and building **large-scale distributed systems and scalable backend services** using a microservices approach to support fast-moving products. 04. Comfortable and experienced working in rapidly evolving, **pioneering fields**. 05. A background in the **transportation or autonomous vehicle industry** would be a plus. 06. Experience creating flexible, **modular solutions** that serve a variety of clients and use cases. 07. Deep experience applying **Operations Research and Machine Learning** to prod