Cloud Software Engineer III - TS/SCI FSP (On-site)

Steel Point Solutions is an amazing SBA Certified (8a), HUBZone, Small Disadvantaged Business (SDB) and a Woman Owned Small Business (WOSB) company. Established in 2013 with a vision of offering world class, integrated business solutions for all levels of Government and commercial enterprises. We are represented by a team of talented and qualified professionals who know how essential efficient, cost-effective integrated solutions are to your organization's success. Leveraging these resources, we strive daily to lead the industry in program management and service delivery.

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).

• The Level 3 Cloud Engineer shall possess the following capabilities:
  • 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).

Qualifications:

• Active TS/SCI clearance with Full-Scope Polygraph (FSP)
• Eight (8) years of general experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
• A bachelor's degree in computer science, engineering, mathematics or a related discipline may be substituted for four (4) years of general experience.
• Shall have at least six (6) years of experience developing software with high level languages, such as Java, C, C++.
• Shall have at least four (4) years of experience with distributed scalable Big Data Store (NoSQL), such as HBase, CloudBase/Accumulo, Big Table, etc., as well as four (4) years of experience with the Map Reduce programming model, the Distributed File System (HDFS), and technologies such as Hadoop, Hive, Pig, etc.
• Shall have demonstrated work experience with Serialization, such as JSON and/or BSON. Shall have demonstrated work experience with developing restful services and Ruby on Rails framework. Shall have at least three (3) years of experience developing software in UNIX/Linux (Red Hat versions 3-5+) operating systems.
• Shall have demonstrated work experience in the design and development of at least one Object Oriented system.
• Shall have demonstrated work experience developing solutions integrating and extending FOSS/COTS products.
• Shall have at least three (3) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts. Shall have demonstrated technical writing skills and shall have generated technical documents in support of a software development project.
• In addition, the candidate will have demonstrated experience, work or college level courses in at least four (4) of the desired characteristics. Shall have demonstrated work experience with Source Code Management (e.g. Git, Stash, or Subversion, etc.).

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

Candidates from Historically Underutilized Business Zones (HUBZone) are strongly encouraged to apply. To determine whether you reside in a HUBZone, visit: https://maps.certify.sba.gov/hubzone/map.

Steel Point Solutions, LLC is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.