About the Role
Staff Engineer will be part of the global Fintech team and will be responsible for driving simplification and the architectural direction of this critical area for the company.
The FinTech team builds technology for Uber's Financial Planning, Forecasting Analysis, Cost optimization, Revenue computation, Payables management and global tax calculation. Our technology enables automation of monthly closing of books, quarterly wall street reporting, provides Billing (Invoices, Receipts) services to our earner partners and ensures regulatory compliance worldwide.
This requires building and operating large scale distributed systems handling Uber's trip scale, integrating with best of breed products,
building automation and simple ways to onboard new businesses and a scalable financial platform which ensures explainability, accuracy and completeness handling billions of transactions.
What the Candidate Will Need / Bonus Points
Bachelor's degree or higher in an engineering field (e.g. Computer Science, Computer Engineering, etc.)
15 years experience designing, implementing large scale distributed systems (serving 5K QPS, participating in 100M in transactions)
Advanced, inside-out knowledge of multiple programming languages, data store systems and message queue. We use programming languages like Go, , Python, data stores like Cassandra, DynamoDB, Redis and MQs like Kafka- Any programming language is fine.
Deep, industry leading expertise in one or more technology domains and are the -to person for one or more areas of their business.
A track record of building large-scale, highly-available systems that solve complex, organizational level business problems.
Experienced and hands-on understanding of fault-tolerant systems and multi-datacenter/cloud architectures.
Passion for driving continual improvement initiatives on engineering best practices like coding, testing or monitoring.
Excellent written and verbal communication skills, including the ability to write detailed technical documents.
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