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Senior Engineer

Point72 Asset Management, L.P.

NEW YORK, NY · HybridJobSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
No compensation found
Location
NEW YORK, NYHybrid
Work Authorization
Not specified

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Job overview

Point72 is seeking a Senior Engineer in New York to design and build data pipelines, cloud infrastructure, and research applications. The role works with researchers and data scientists to process and explore large data sets, including through generative AI and visualization tools. The position is hybrid, with work from home permitted up to one day per week.

Skills & qualifications

RequiredNice to have

Skills

Python DevelopmentObject-Oriented ProgrammingAlgorithmsData StructuresData Processing ToolsProduction SoftwareSoftware InfrastructureCloud TechnologiesAWSSystem DesignReusable ComponentsLibrariesAPIsDistributed SystemsPerformance OptimizationCost OptimizationReliability OptimizationBenchmarking

Qualifications

Bachelor's in Computer Science or Related Quantitative Field5+ Years Software Engineering Experience5+ Years Python Development Experience5+ Years Data Processing Experience5+ Years Production Software Experience2+ Years Cloud Technologies Experience2+ Years System Design Experience1+ Year Distributed Systems Experience

Full job description

Point72, L.P. has an opening for a Senior Engineer in New York, NY. This position is hybrid; may work from home up to 1 day per week, as permitted. Design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of data assets working with researchers and data scientists. Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery. Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers. Be at the forefront of new technology developments with respect to the handling and processing of big data, applications and conduct proof of concepts evaluations of new technologies. Build Generative AI based research applications and infrastructure to deliver effective business data solutions. Build and support visualization and exploration capabilities around our big data sets. Must possess at least a bachelors degree or its equivalent in Computer Science or a related quantitative field and at least five years of progressive experience as a Software Engineer or in a related role. Must also possess the following: at least 5 years of experience with Python Development, including Object Oriented programming, algorithms and data structures; at least 5 years of experience with Data Processing Tools & Technologies; at least 5 years of experience with building production grade software applications and infrastructure; at least 2 years of experience with Cloud based Technologies & Tools like AWS; at least 2 years of experience with System Design, including developing reusable software components, libraries, and APIs that enable rapid experimentation and production deployment; and at least 1 year of experience with Distributed Systems, including optimizing performance, cost, and reliability of software systems through benchmarking and iterative improvements. Any person who is interested in this position may apply to the following for consideration: Send your resume to [email protected] and reference Job Code R102026A.

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