Pune, Maharashtra, India
Finance & Banking
Full-Time
Uber
Overview
About The Role
Uber's Commerce Platform Engineering group is vital for maintaining and enhancing the infrastructure that enables all Uber lines of business to conduct transactions. As a central and mission-critical system, all commerce in and out of Uber flows through these systems, demanding strict 4 9's availability. This is one of our largest scalable systems, and its complex day-to-day interactions require careful coordination from engineers with a deep sense of quality, security, and ingenuity.
The Order Platform team provides a reliable, self-service platform for accessing commerce data and capabilities across Uber. It serves as a single point of integration between various Uber businesses and commerce systems, acting as the single source of truth for all transactions performed by any Uber business, including Uber Rides and Uber Eats.
As a critical central platform, we bridge the gap between infrastructure and product. We solve deep technical challenges at scale within problem domains specific to Uber's business. As a Staff Software Engineer, you'll own the end-to-end delivery of large initiatives, from design to production readiness. You'll also support and consult with other engineers on their projects and mentor the team. You'll partner closely with engineering leadership, product managers, and technical program managers to develop roadmaps.
What The Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
Uber's Commerce Platform Engineering group is vital for maintaining and enhancing the infrastructure that enables all Uber lines of business to conduct transactions. As a central and mission-critical system, all commerce in and out of Uber flows through these systems, demanding strict 4 9's availability. This is one of our largest scalable systems, and its complex day-to-day interactions require careful coordination from engineers with a deep sense of quality, security, and ingenuity.
The Order Platform team provides a reliable, self-service platform for accessing commerce data and capabilities across Uber. It serves as a single point of integration between various Uber businesses and commerce systems, acting as the single source of truth for all transactions performed by any Uber business, including Uber Rides and Uber Eats.
As a critical central platform, we bridge the gap between infrastructure and product. We solve deep technical challenges at scale within problem domains specific to Uber's business. As a Staff Software Engineer, you'll own the end-to-end delivery of large initiatives, from design to production readiness. You'll also support and consult with other engineers on their projects and mentor the team. You'll partner closely with engineering leadership, product managers, and technical program managers to develop roadmaps.
What The Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
- Design, scale, code, monitor, and maintain a highly critical set of services.
- Contribute to, lead, own, and deliver multiple high-impact and complex projects or features.
- Mentor and groom junior engineers.
- MS/BS in Computer Science or a related field, with at least 12 years of individual contributor experience as a software engineer.
- Fluent in one-of Go, Java, or C++.
- The ability to dive deep into a problem while also appreciating the challenge of understanding broader implications.
- Solid understanding of distributed systems architecture - including concepts like consensus, convergence, load balancing, data consistency, and performance/efficiency.
- Proven ability to identify and resolve performance and scalability issues.
- Strong communication skills, both written and verbal, to articulate complex ideas to various stakeholders.
- Experience as a tech lead who has mentored or led small teams in building product features at scale.
- Experience being on-call and handling operational issues for a large-scale distributed system.
- Prior experience in fintech or payments.
- Prior experience with Go.
- Experience with batch and/or streaming computation platforms.
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