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

Cloud Software Engineer

Are you passionate about building cutting-edge cloud solutions that support national security? Do you thrive in fast-paced, mission-driven environments? Peraton is seeking a talented and skilled Cloud Software Engineer to join our Cyber Intelligence team in Laurel, MD.

As part of a collaborative, high-impact integrated product development team, you'll work on next-generation cyber and AI/ML capabilities hosted on large-scale compute clusters and AWS Cloud infrastructure. This is your chance to help shape innovative services that make a real difference. Interested in Artificial Intelligence and Machine Learning? If so, this is the position for you.

The Cloud Software Engineer Level 3 Engineer provides cloud software research, development, and engineering services to include requirements analysis, software development, installation, integration, evaluation, enhancement, sustainment, testing, validation, and issue diagnosis/resolution.

Key Technologies and Skills:

• Cloud Expertise:
  Deep experience in AWS Cloud Architecture, SDKs, APIs, and cloud services integration
• AI/ML Integration:
  Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks
• IaC & Dev Ops:
  Hands-on with Cloud Formation or Terraform, and modern CI/CD pipelines
• Programming Proficiency:
  Strong in Java for distributed systems with a solid grasp of networking, multi-threading, and concurrency
• Containers & Orchestration:
  Knowledge of Kubernetes and microservices architecture
• Security-Minded:
  Working knowledge of cloud security principles and compliance best practices
• Scripting & Systems:
  Competent in Linux environments with scripting skills in Python, Ruby, Perl, or similar

, C, C++, R, Hbase, Accumulo, Big Table, Map Reduce programming model and technologies such as Hadoop, Hive, Pig, etc., Hadoop Distributed File System (HDFS), JSON and/or BSON. Taxonomy, Ontologies, and Big-Data Cloud Scalability (Amazon, Google, Facebook) Artificial Intelligence (AI), Large Language Model (LLM), Machine Learning (ML), AI/ML algorithms, statistical analysis, RAG, agents, and agentic workflow

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.
• 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…