Cloud Software Engineer

PENDING AWARD!!!

Founded on a commitment to service, Itezz Inc. is a Service-Disabled Veteran-Owned, SBA 8(a) certified small business dedicated to delivering innovative and reliable information technology solutions across the federal government. Rooted in the values of integrity, excellence, and patriotism, the company was built by those who have served — and that spirit of dedication carries into every project and client relationship.

Itezz Inc. partners with federal agencies to solve complex technology challenges, drive digital transformation, and ensure mission-critical systems perform at the highest levels. When the mission demands excellence, Itezz Inc. delivers.

Description: Develop, maintain, and enhance complex and diverse Big-Data Cloud systems based upon documented requirements. Contribute to all stages of back-end processing, analyzing, and indexing. Provide expertise in Cloud Computing, including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design. Work independently or as part of a team. Review and test software components for adherence to the design requirements and document test results.

Resolve software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provide specific input to software components of a system design in place of new development, to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the shelf (GOTS) and requirements analysis and synthesis from system level to individual software components.

Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with customer appropriate polygraph).

• Develop software with high level languages such as Java, C, C++
• Conduct requirements analysis and design Object Oriented system
• Develop solutions integrating and extending FOSS/COTS products
• Deploy applications in a cloud environment
• Work with Government and team members to develop and deploy data driven analytics, event driven analytics, sets of analytics orchestrated through rules engines
• Review and update ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications
• Develop, test, integrate and implement test plans and test scripts
• Develop, install, test, and integrate software
• Diagnosis and resolve IT problems
• Develop technical documents in support of a software development project
• Design and develop automated analytic software, techniques, and algorithms
• Develop and deploy analytics that discover and exploit social networks
• Develop and deploy analytics within a heterogeneous schema environment
• Develop and deploy data driven analytics, event driven analytics, sets of analytics orchestrated through rules engines
• Document ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications
• Conduct software integration and software testing, to include develop and implement test plans and test scripts
• Analyze and design requirements of at least one Object Oriented system
• Develop and deploy analytics that include foreign language processing; linguistics (grammar, morphology, concepts), analytic processes with taxonomy construction for analytic disciplines, knowledge areas
• Author and generate technical documents in support of a software development project
• Document ontologies, data models, schemas, formats, data element dictionaries, software application program interfaces and other technical specifications
• Develop and deploy: 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, i.e., > a billion rows or >10 Petabytes; analytics that employ semantic relationships (i.e., inference engines) between structured and unstructured data sets; analytics that identify latent patterns…