Company
Colossus is a global leading expert in digital identity exposure, verification, and profiling. By analyzing billions of data streams, we tackle the 21st century biggest enigma - anonymity.
Our groundbreaking Dynamic Virtual Sensing Grid (DVSG) technology fuse the most relevant content from the digital sphere to provide comprehensive, far-reaching, and high resolution insights on individual and group identify, affiliation, and behavioral patterns.
Colossus empowers government agencies and international corporations by providing clear, accurate and actionable insights regarding the true identity of their global subjects of interest.
Our platforms work at scale; searching, aggregating, and fusing billions of bytes, from various data streams in real time. The resulting information is intelligently processed, analyzed, and displayed to provide valuable insights for our customers. Colossus employs a multidisciplinary team of experienced experts in the fields of Big Data, Analytics, Social Media, Machine Learning, Intelligence, and cybersecurity.
Our HQ and R&D center are located in Dublin, Ireland.
Technology
Colossus has developed and deployed a groundbreaking proprietary technology - the Dynamic Virtual Sensing Grid (DVSG). Our DVSG is a unique intelligence platform created by years of extensive R&D effort. DVSG is a BigData platform, coveringbillions of records, Peta bytes of data, structured and unstructured in real time. It deploysthousands of Virtual Probes overmultiple networks to enable fully legal and stealth data gathering.
DVSG is the most comprehensive digital footprint monitoring platform, leveraging multiple probing techniques, tens of thousands of sensors and an ever-growing number of sources.
DVSG innovative design introduces Neuron grid functionality restructuring and validating target entity digitalfootprint. DVSG analytics suite applies advanced machine learning capabilities, and algorithmic engines to verify,consolidate and extract valuable insights. DVSG data sources andmonitoring techniques are fully legal, and completely undetectable and untraceable.
Business
Colossus solutions are delivered as a dedicated-on premise system, or via our secure SaaS Platform.We serve the following markets
Trading
Insurance
Government
Finance
Energy
Media
Aviation & Maritime
Careers
1 min
Job ID: A56611 min
Job ID: S09711 min
Job ID: A5911
Senior Integration Developer
Job ID: S0971
Description:
Design, create and update the standarized NIEM based XML data models for data exchanges ensuring reusability while enabling consolidation of data models.
Conduct Unit Testing, supporting Quality Assurance, and coordination of defect remediation
Experience:
A minimum 6 years of java development experience with at least 2 years of hands-on experience in Enterprise Integration Development.
Experience in Service Oriented Architecture and Web Service development. Strong knowledge of messaging middleware.
Education:
A Bachelors or Master’s degree in MIS, Computer Science, or equivalent experience is desired
Big Data Software Engineer
Job ID: A5661
Description:
Development of high performance, distributed computing algorithms using Big Data technologies e.g. Hadoop, NoSQL, text mining and other distributed environment technologies
Experience:
Hands-on implementation or consulting experience building large-scale big data systems, Software Development experience with C++, Java, .NET, Python or Ruby or other languages, Experience with data analytic tools including Apache Hadoop, Hive etc'.
Education:
Bachelors of Science in Computer Science, Math or Scientific Computing preferred.
Software Developer Machine Learning
Job ID: A5911
Description:
classification and optimization problems, search ranking, text/sentiment classification, collaborative filtering and recommendation
Experience:
At least 4 years of experience in the following: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence.Expert knowledge developing and debugging in C/C++ and Java Experience with filesystems, server architectures, and distributed systems
Education:
MS degree in Computer Science or related quantitative field or Ph.D degree in Computer Science or related quantitative field