Highly Available Enterprise Software Developer

3 weeks ago


Gurgaon, Haryana, India ADCI - Haryana Full time

About the Role



The Applied Scientist II will be part of the Celerity team in FinAuto Receivables Tech, responsible for building a highly available, large scale, enterprise-wide software solution. This individual will have deep knowledge in the domain of science expertise and proficiency with state-of-the-art scientific approaches. They will identify existing and future customers' and business needs or pain points at the project level and author or co-author articles for internal or external peer-reviewed venues.

Key Responsibilities



* Develop components that are at least at the same level as those developed by an SDE I and are directly integrated in production, or directly support large systems, applications, product, or services.
* Participate in tactical and strategic planning such as team goals, priorities, and roadmaps.
* Contribute by identifying problems and proposing solutions for the customer.

About the Team



The FinAuto Receivables Tech team strives to consistently evolve and anticipate emerging business needs that drive scale and efficiency for customers, Amazon, and Global Accounts Receivable (GAR). The Celerity team is a part of the FinAuto Receivables tech team, charted to secure customer communications, automate collections tasks, and provide Amazon customer insights. One of the Celerity team charters, Zero touch Response, the team will build a solution to automate inbound email processing and respond to customer within SLAs.

Requirements



* 3+ years of building models for business application experience
* PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
* Experience in patents or publications at top-tier peer-reviewed conferences or journals
* Experience programming in Java, C++, Python or related language
* Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

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