Cloud Software Engineer Level 3 – AI​/ML Project TS​/SCI w Poly

Basic Qualifications:

• 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.
  
  NOTE:
  
  A degree in Mathematics, Information Systems, Engineering, or similar degree will be considered as a technical field.
• Hadoop /Cloud Developer Certification or comparable Cloud System/Service Certification
• Minimum eight (8) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution.
• Eight (8) or more years of directly related experience in software development/engineering; including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution
• Minimum six (6) years of experience developing software with high level languages such as Java, C, C++
• Demonstrated ability to work with Open Source (No
  
  SQL) products that support highly distributed, massively parallel computation needs such as Hbase, Acumulo, Big Table, etc.
• Demonstrated work experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc.
• Demonstrated work experience with the Hadoop Distributed File System (HDFS)
• Demonstrated work experience with serialization such as JSON and/or BSON
• Demonstrated work experience developing Restful services
• At least five (5) years of experience developing software for UNIX/Linux (Redhat versions 3-5) operating systems.
• Demonstrated work experience in the requirements analysis and design of at least one Object Oriented system.
• Demonstrated work experience developing solutions integrating and extending FOSS/COTS products.
• At least three (3) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts.
• 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.

In addition, the candidate will have demonstrated work experience in at least four (4) of the desired characteristics:

• 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.

Must have, or be willing to obtain prior to start, one of the following Cloud Developer

Certifications:

• • AWS Certified Developer-Associate
  • AWS Certified Machine Learning-Associate
  • AWS Certified Machine Learning-Specialty
  • AWS Dev Ops Engineer Professional
  • Certified Kubernetes Application Developer (CKAD)

An Active TS/SCI clearance with polygraph is required

Additional Desired

Qualifications:

• Experience with Large Language Models (LLM), Agentic AI, and Retrieval-Augmented Generation (RAG)
• Expertise in AWS Cloud Architecture design and development
• Proficiency in using AWS SDKs and APIs
• Expertise in Infrastructure as Code (IaC) tools like Cloud Formation or Terraform
• Skilled in Continuous Integration, Deployment, Testing and Monitoring practices
• Knowledge and skill in implementing and using observability tools (e.g. Elasticsearch, Open Search)
• Java programming for distributed systems, with experience in networking and multi-threading
• Agile development experience with source code management practices and tools
• Well-grounded in Linux fundamentals and knowledge in at least one scripting language (e.g. Python, Ruby, Perl, etc.)
• Familiarity with microservices software…