Cloud Software Engineer, Senior - 33330 in San Antonio, TX at Alion Science and Technology

Date Posted: 10/1/2020

Job Snapshot

Job Description

With more than 80 years of experience engineering science and technology solutions to support national security, Alion supports clients with big ideas and real solutions.

Job Description:

Alion Science is seeking a Senior-level Cloud Software Engineer/Reverse Engineer to join our successful and dynamic team. Members of this team are highly motivated, self-driven, and able to work well alone or in a group. This team thrives on challenges and attention to detail. In addition to competitive compensation packages, members of this team enjoy use of liberal flex time (project requirements not withstanding) from a work schedule perspective, as well as a collaborative and collegial work environment which promotes personal and professional growth. The successful candidate will have full life cycle development experience with knowledge and experience in C, C++, embedded systems, hardware internals (both computer and peripherals), scripting (bash, sh, Windows, korn, Python, Perl, etc.), networking and network protocols, internet protocols, Windows OS, Linux, UNIX, penetration testing, debugging, assembly programming language, and reverse engineering. The candidate must possess a TS/SCI clearance with a Full Scope Polygraph.

Position Specific Responsibilities:

  1.              At least eight (8) years experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
  2.              At least six (6) years of experience developing software with java and other high-level languages such as C, C++.
  3.              Demonstrated ability to work with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, CloudBase/Acumulo, Big Table, etc.
  4.              Demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc...
  5.              Demonstrated work experience with the Hadoop Distributed File System (HOES).
  6.              Demonstrated work experience with serialization such as JSON and/or BSON.
  7.              Demonstrated work experience developing Restful services.
  8.              At least five (5) years experience developing software for UNIX/Linux operating systems.
  9.              Demonstrated work experience in the requirements analysis and design of at least one Object Oriented system.
  10.           Demonstrated work experience developing solutions integrating and extending FOSS/COTS products.
  11.           At least three (3) years experience in software integration and software testing, to include developing and implementing test plans and test scripts.
  12.           Demonstrated technical writing skills and shall have generated technical documents in support of a software development project.
  13.           In addition, the candidate will have demonstrated work experience in at least four (4) of the desired characteristics.
  14.           Experience deploying applications in a cloud environment.
  15.           Experience developing and deploying: data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
  16.           Front end web stack, Node.JS, REST, EXT.js, Git, Linux


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

•               Hadoop /Cloud Developer Certification.

•               Experience designing and developing automated analytic software, techniques, and algorithms.

•               Experience developing and deploying: 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 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.


Security Clearance: TS/SCI w/Poly

Next Steps

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