Live opening · Posted 27 days ago
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About the role
Description supplied by the original job listing.
Responsibilities:
Actively seek out engineering and business problems, and tackle them with little to no mentorship.
Take the larger vision or challenge and break it down into strategies and plans, including trade-offs, convergence, and closure across teams required to realize the vision.
Be a role model in acting with good judgment and responsibility.
Engineers across the organization will look to you on how best to plan and execute projects.
Improving standard methodologies and producing best-in-class code, documentation, testing, and monitoring.
Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike.
Deal with differences in opinion maturely and fairly, helping teams to commit and move forward.
Requirements:
Bachelor's or master's degree in computer science or a related field.
10+ years of experience in professional software development with detailed inside-out knowledge of general programming languages, e. g., Java, Go, C/C++, and Python.
5+ years of experience in the design and solution of distributed systems operating at Uber's scale (~5k qps and 100m transactions per day).
Professional software experience in optimal setup and usage of data stores like Cassandra, DynamoDB, Redis, and MQs like Kafka.
Passion for driving continuous improvement initiatives on engineering standard methodologies like coding, testing, and monitoring.
Solid technical leadership abilities and comfortable working with various stakeholders to ensure adoption/impact.
Excellent written and verbal communication skills, including the ability to write detailed technical documents.
Passionate about helping teams grow by inspiring and mentoring engineers.
Master's or PhD degree in computer science or a related field.
Experience working in the fintech and payments industry, including exposure to projects requiring complex regulations and compliance.
Experience working with the big data technologies of Hadoop, Hive, Spark, etc.
Expert and hands-on understanding of fault-tolerant systems and multi-datacenter/cloud architectures.
Experience
10-14 yrs
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