Jobs · Engineering · Maryland

C/C++ Software Developer

Ariadne · Bethesda, MD · 2 wk ago
EngineeringFull-time

About the role

The successful candidate will be responsible for developing and maintaining an indexing engine and a web content delivery framework for the NIH. These systems process and make searchable terabytes of biomedical information and handle over 10 million daily hits from 1 million unique users.

Responsibilities

  • Design and development of business-logic and presentation components for NIH web portal
  • System performance optimization
  • Development of algorithms for analyzing large volumes of biological data
  • Design and support of databases for storing genomic and other biological information

Requirements

  • 5+ years of related software development experience
  • Hands-on C and C++ development experience, STL
  • OO knowledge and programming experience in C++
  • Hands-on Web development experience on Linux/Unix, CGI, HTML/CSS, JavaScript
  • Flexibility and ability to learn and use new technologies
  • Able to work well in a team environment as well as independently and get things done

Qualifications

  • Bachelor's degree in Computer Science or similar is required
  • Master's degree in Computer Science or equivalent is preferred

Benefits

  • Competitive salary depends on skills and experience
  • Excellent benefits package
  • No telecommuting

Pay

Competitive salary depends on skills and experience.

Schedule

Not specified.

Skills

  • Database design/development experience, SQL
  • XML/XSLT knowledge and experience
  • Experience designing/building any application framework
  • Multithreaded programming experience
  • Cross-platform Linux/Unix, Windows programming experience
  • Experience in writing Unix shell, Python or Perl scripts
  • Information retrieval and text indexing experience

Additional Information

Several positions are available that involve the following responsibilities: design and development of business-logic and presentation components for NIH web portal, system performance optimization, development of algorithms for analyzing large volumes of biological data, design and support of databases for storing genomic and other biological information.

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