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Arc helps you hire senior Back-End developers in North America. With 746 Back-End vetted programmers in North America available for hire on a full-time basis, we have one of the largest network of vetted talent. Our vetting process ensure you hire senior Back-End developers and experts in North America that you can trust.
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Want to expand your Back-End development team in North America? Here are some of our top remote senior Back-End developers in North America for you to browse, interview, and hire.
Over the last 15 years, I've worked as a teacher, a support engineer, a data engineer, and a software engineer. In all that time, the most engaging and satisfying work was always helping other people learn and overcome challenging issues. I have professional experience with the following languages/technologies: * Python * Java * Bash * Web (HTML, CSS, JavaScript/TypeScript) * SQL (multiple dialects) * Korn * Perl * C * Android * Docker * Linux * Git I've developed everything from simple scripts that automate repetitive tasks, to ETL pipelines, to full stack web applications (the API and backend services, as well as the HTML/CSS/JavaScript frontend), and along the way I've mentored engineers, students, and non-technical people wanting to level up their skills.
Manish is a full stack developer and a GCP certified system architect. In past he has worked on building low latency FX Options auto trading system, analytics app/chat bot using Java, Reactjs, python and KDB+ for HSBC, financial product benchmarking and alerting application for UBS, B2C CRM product for Oracle. He is passionate about distributed system, love to take part in hackathons and play tennis.
Technology architect and model developer with focus on building data driven mathematical & statistical tool-sets and implementing them efficiently using real-life software systems \- Adept in monolithtic as well as Service Over Architectures (SOA) building scalable services and robust tool sets \- Extensive experience with xml, html, json and their associted transformations. Setting up ETLs and other automated data pipelines \- Financial time series analysis, Approaches for price, volatility determination/forecasting | Support Vector Machines (SVM) | ML and AI | Mathematical models from scratch. \- High Frequency tick-data - Fourier analysis to identify filtering mode without the loss of market microstructure **Technology Stack** Python๐ท | R | C++ | MATLAB | Excel/VBA | Java **DB:** SQL, KDB/Q | SQL **OS:** Linux | Windows **cloud:** Azure, AWS **Version Control:** GIT
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