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    Software Engineer at MedCrypt (San Diego, CA) (allows remote)
    MedCrypt Employer
    San Diego, CA
    Job Type
    Job Location
    Full Time
    San Diego, CA

    Job Description:

    We’re looking for a software engineer to help us build a real-time behavior monitoring platform, connecting native C++ libraries running in our users’ applications with a web-based data collection platform. The successful candidate will have ownership over this platform, starting with the initial beta and continuing through product maturity. 


    Minimum Qualifications



    • 5+ years of Software Engineering or related work experience

    • 3+ years experience with C++

    • Familiarity with C  

    • Proficient in Socket/Network Programming

    • Strong ability to diagnose server and network issues

    • Understanding of network protocols and network data security

    • Understanding of high-frequency messaging framework concepts

    • Experience with designing, building, and consuming APIs

    • Experience with *nix

    • Experience with Git or other SCM

    • Ability to translate a higher-level vision into a product

    • Ability to effectively prioritize and execute tasks in a dynamic, high-pressure environment

    • Ability to effectively convey a product vision and ideas to improve our conventions, processes, software, products and customer experience


    Extra Points



    • Bachelor's degree in Engineering, Computer Science, or a related field

    • Experience building real-time, high-frequency data capture systems

    • Experience with public cloud technologies (e.g. Amazon AWS)

    • Proficient in either Python or Java

    • Proven experience in the successful delivery of large, complex, high volume logging pipelines using modern scalable architectures and technologies such as Kafka, Ajna, Spark, Splunk/ELK.

    • Both research and implementation of machine learning solutions.

    • Skills in the theoretical and technical application of statistics, forecasting and data mining to help develop models to solve complex real-world problems using some of the following quantitative methods: CART, MARS, VAR, multivariate regression, factor analysis, econometric time series analysis, simultaneous equation models, decision trees, hypothesis testing, neural nets, outlier identification, ARIMA, Monte Carlo simulations, etc.

    Skills required:

    Benefits:

    Certificate
    Flexible Hours
    Letter of Recommendation
    Note : This project is an external project, and it was posted on the platform by the Gradbee Team. We curate all the internships available across the internet by visiting company websites, and social networks like Facebook, LinkedIn, WhatsApp, Twitter etc. If you are the owner of this internship / project and need to get it removed, kindly mail us at [email protected]