Staff Backend Engineering - Data Platform at Uber (South Bay)
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About the role:
We are looking for a strong staff software engineer as technical lead to join our team to build a secure data workflow platform across multi-datacenters to be more reliable and scalable, seek challenges of large scale orchestration, scheduling and distributed services, implement high demand workflow frameworks and solutions, build dev tools and ecosystems for data scientists and engineers. The candidate must be passionate about simplifying complicated data processing to ease of use and system's performance, reliability and scalability.
About the Team:
Our teams build a distributed open platform to move data across multi-datacenters and hundreds of services, transform data into a usable form and load it into the system for making insightful decisions. The platform enables all data scientists, engineers, operators at Uber to produce data daily and scales for a large number of data workflows running in multi-tenancy with excellent security and isolation. We build pre-cooked workflows, ETL and end-to-end data solutions, make them available in uWorc, the rich drag & drop UI to author and manage data pipelines, provide REST APIs, dev tools and ecosystems to build, test, deploy and supervise pipelines in convenience.
Minimum qualifications:
Required:
We are looking for a strong staff software engineer as technical lead to join our team to build a secure data workflow platform across multi-datacenters to be more reliable and scalable, seek challenges of large scale orchestration, scheduling and distributed services, implement high demand workflow frameworks and solutions, build dev tools and ecosystems for data scientists and engineers. The candidate must be passionate about simplifying complicated data processing to ease of use and system's performance, reliability and scalability.
About the Team:
Our teams build a distributed open platform to move data across multi-datacenters and hundreds of services, transform data into a usable form and load it into the system for making insightful decisions. The platform enables all data scientists, engineers, operators at Uber to produce data daily and scales for a large number of data workflows running in multi-tenancy with excellent security and isolation. We build pre-cooked workflows, ETL and end-to-end data solutions, make them available in uWorc, the rich drag & drop UI to author and manage data pipelines, provide REST APIs, dev tools and ecosystems to build, test, deploy and supervise pipelines in convenience.
Minimum qualifications:
- PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 2-years full-time Software Engineering work experience OR 5-years full-time work experience, WHICH INCLUDES 3-years total technical software engineering experience in one or more of the following areas:
- Programming language (e.g. Java, Python, or Go)
- Note the 3-years total of specialized software engineering experience may have been gained through education and work experience, additional training, coursework, research, or similar (OR some combination of these). The years of specialized experience are not necessarily in addition to the years of Education & work experience indicated.
Required:
- Large Scale Distributed systems
- Infrastructure Engineering
- Scalability engineering
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