Remote Software Engineer at MedCrypt 📈 Open Startup
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MedCrypt


Software Engineer

Software Engineer


MedCrypt


dev

engineer

digital nomad

dev

engineer

digital nomad

22d
\nWe’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. \n\n\nMinimum Qualifications\n\n\n* 5+ years of Software Engineering or related work experience\n\n* 3+ years experience with C++\n\n* Familiarity with C  \n\n* Proficient in Socket/Network Programming\n\n* Strong ability to diagnose server and network issues\n\n* Understanding of network protocols and network data security\n\n* Understanding of high-frequency messaging framework concepts\n\n* Experience with designing, building, and consuming APIs\n\n* Experience with *nix\n\n* Experience with Git or other SCM\n\n* Ability to translate a higher-level vision into a product\n\n* Ability to effectively prioritize and execute tasks in a dynamic, high-pressure environment\n\n* Ability to effectively convey a product vision and ideas to improve our conventions, processes, software, products and customer experience\n\n\n\n\nExtra Points\n\n\n* Bachelor's degree in Engineering, Computer Science, or a related field\n\n* Experience building real-time, high-frequency data capture systems\n\n* Experience with public cloud technologies (e.g. Amazon AWS)\n\n* Proficient in either Python or Java\n\n* 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.\n\n* Both research and implementation of machine learning solutions.\n\n* 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. \n\n\n

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