Our client, a global financial software company, headquartered in New York City is looking to hire a Senior Software Engineer to build a social network of the world's most influential finance professionals. They source terabytes of structured, semi-structured data, run machine learning, and crowdsourcing algorithms among others to provide timely & relevant content. They are reimagining the way they currently architect their systems and are looking for an experienced software engineer to join this effort. Their new platform is a mix of dynamic languages, OOP and functional programming. They are using a number of large distributed computing systems and different styles of data persistence. We expect you to have the correct balance between innovation, experimentation and getting things done.
You are Bold, creative, open-minded and resourceful. They work on small teams and as a company pride ourselves on being inclusive, entrepreneurial, agile and responsive. They adapt to changes and the problems they face are constantly evolving. The work environment is fast-paced. Expect to make immediate contributions to our production code.
Looking for individuals with the following skill set:
- Experience creating compelling GUIs for external customers.
- You are comfortable with distributed systems, RESTful architectures & have built scalable, low-latency systems that provide high availability.
- You are comfortable with Linux, Unix environment & tools for debugging, profiling and scripting.
- Knowledge of algorithms, data structures and graph algorithms is expected.
- BS/MS in Computer Science/Computer Engineering, Science, Math or equivalent experience.
About MGRS Group
MGRS Group specializes in the placement of information technologists, with a very specific focus on object-oriented programmers. We effectively recruit for C/C++, C# and Java Software Engineers as well as Ruby on Rails, PHP, Python and Perl Developers. We work with the most talented developers in this business, at all levels in their career and within various areas such as Research and Development (R&D), Market Data, Trading Systems, HFT, Low Latency, Data Science, Machine Learning, Natural Language Processing (NLP), Artificial Intelligence (AI), Business Intelligence (BI), Big Data Analytics, Cloud Computing, Mobile Development, Websphere Portal and Business Integration.