Athenix Cyber & SIGINT is seeking a senior-level Cloud Software Engineer to support a large program in the Annapolis Junction, MD area.

Looking for a Cloud Software Engineer Skill Level 3 to augment the existing platform team for a large analytic cloud repository. A successful candidate for this position has experience working with large Hadoop and Accumulo based clusters and a familiarity with open-source technologies. Additional knowledge of Linux OS development, Prometheus, Grafana, Kafka and CentOS would benefit the candidate. Ideal candidates would have familiarity with open-source products and be willing/able to learn new technologies. The platform team builds subject matter expertise. This position will have a primary focus supporting Accumulo. Provide cloud software research, development, and engineering services to include requirements analysis, software development, installation, integration, evaluation, enhancement, sustainment, testing, validation, and issue diagnosis/resolution.

Minimum Requirements:

• A Bachelor's Degree in Computer Science or in a related technical field is highly desired which will be considered equivalent to two (2) years of experience. A Master's degree in a Technical Field will be considered equivalent to four (4) years of experience.
• Hadoop /Cloud Developer Certification or comparable Cloud System/Service Certification.
• Shall have at least eight (8) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
• Shall have at least six (6) years of experience developing software with high level languages such as Java, C, C++.
• Shall have at least five (5) years of experience developing software for UNIX/Linux (Redhat versions 3-5) operating systems.
• 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 ability to work with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Acumulo, Big Table, etc.
• Shall have demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.
• Shall have demonstrated work experience with the Hadoop Distributed File System (HDFS).
• Shall have demonstrated work experience with serialization such as JSON and/or BSON.
• Shall have demonstrated work experience developing Restful services.
• Shall have demonstrated work experience in the requirements analysis and design of at least one Object Oriented system.
• Shall have demonstrated work experience developing solutions integrating and extending FOSS/COTS products.
• Shall have demonstrated technical writing skills and shall have generated technical documents in support of a software development project.
• Experience deploying applications in a cloud environment.
• Experience developing and deploying data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
• Active TS/SCI with polygraph.

Desired Requirements:

• Proficiencies in the following have been noted as highly desired for this position:
  
  • Apache Hadoop
  • Java Programming
  • HAProxy
  • Linux operating system monitoring and tuning
  • Linux operating system level virtualization
  • Agile development experience
• Understanding of Big-Data Cloud Scalability (Amazon, Google, Facebook)
• Experience designing and developing automated analytic software, techniques, and algorithms.
• Experience developing 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 taxonomy construction for analytic disciplines, knowledge areas and skills.
• 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 dictionaries, software application program interfaces and other technical
  specifications.
• Experience developing and deploying analytics within a heterogeneous schema environment.