Cloud Engineer

The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data cloud systems based upon documented requirements. Provides expertise in cloud computing, Eco-System, including implementing applications, distributed Computing, Information Retrieval (IR), and Object Oriented Design. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware / software trade-offs, software reuse, use of Commercial Off the-shelf (COTS) / Government Off- the-shelf (GOTS).

• Experience deploying applications in a cloud environment.
• Understanding of Cloud Scalability.
• Hadoop / Cloud certification.
• Experience designing and developing automated analytic software, techniques and algorithms.
• Experience development and deploying : analytics that include foreign language processing; analytic processes that incorporate / integrate multi-media technologies, including speech, text, image and video exploitation; analytics that function on massive data sets, for example, more than a billion rows or larger than 10 Petabytes; analytics that employ semantic relationships (i.e. inference engines) between structured and unstructured data sets; analytics that identify latent patterns between elements of massive data sets, for example more than a billion rows or larger than 10 Petabytes; analytics that employ techniques commonly associated with Artificial Intelligence, for example genetic algorithms.
• Experience with linguistics (grammar, morphology, concepts).
• Experience with data formats / techniques such as ASDF, XML (Schema, XLS / T, XQuery), Streaming parsers (Stax or SAX, DOM), protobuf, or Avro
• Experience with taxonomy construction for analytic disciplines, knowledge areas and skills.
• Experience developing and deploying data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
• Experience developing and deploying analytics that discover and exploit social networks.
• Experience documenting ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications.
• Experience developing and deploying analytics within a heterogeneous schema environment.
• LDAP protocol configuration management and cluster performance management (e.g. Nagios).

Desired Characteristics :

Experience deploying applications in a cloud environment

Understanding of Big-Data Cloud Scalability (Amazon, Google, Facebook)

Hadoop / Cloud Developer Certification

Experience designing and developing automated analytic software, techniques, and algorithms. Experience with taxonomy construction for analytic disciplines, knowledge areas and skills. Experience developing and deploying data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines

Experience with linguistics (grammar, morphology, concepts

Experience developing and deploying analytics that discover and exploit social networks

Experience documenting ontologies, data models, schemas, formats, data element

Optimus Technology is a SDVO (Service-Disabled Veteran-Owned) small business founded in 2010. We are known for our exceptionally talented group of Engineers and Technical experts with superior knowledge and experience in Cyber Technologies and the latest technology trends. Our dedication in pairing the right Optimus Technologist with the right customer solution is at the core of our Partnership commitment and critical to the performance and satisfaction of our employees, the pinnacle of the Optimus culture.

Why us?

We strive to provide the best well-rounded benefits package available.