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# Cloud Software Engineer - AI/ML Project Top Secret/SCI w/Poly

- **Company:** Peraton Inc
- **Location:** Laurel, MD, United States
- **Salary:** $104,000.0 - $166,000.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), C (Programming Language), Java (Programming Language), JavaScript (Programming Language), Apache Accumulo, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Big Data, BigTable, C++ (Programming Language), Cloud Computing, Information Systems, System Configuration, Continuous Integration, Linux, Web Development, Distributed Systems, Elasticsearch, Perl (Programming Language), Ganglia (Software), Apache Hadoop, Hadoop Distributed File System, MapReduce, Monitoring of Systems, Apache HBase, Apache Hive, JSON, Python (Programming Language), Machine Learning, NoSQL, Open Source Technology, Performance Tuning, Ruby, Software Engineering, Systems Integration, Multithreading, Scripting, Bson, Large Language Models, Grafana, Test Scripts, Parallel Computation, Generative AI, Cyber Threat Analysis, Cloudformation, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Virtual Agents, Terraform, Software Version Control, Microservices
- **Published:** August 22, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9111751/cloud-software-engineer-aiml-project-top-secretsci-wpoly

## About the Role

* A Bachelor's Degree in Computer Science or in a related technical field from an accredited college or university is highly desired which will be considered equivalent to two (2) years of experience. NOTE: A degree in Mathematics, Information Systems, Engineering, or similar degree will be considered as a technical field.
 * Two (2) 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
 * At least 2 years of experience in software development/engineering, including requirements analysis, software development, installation, evaluation, enhancement, maintenance, and problem diagnosis/resolution.
 * Have demonstrated ability to work with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, Big Table, etc.
 * Have at least one (1) year of experience developing software with high level languages such as Java, C, C++, et cetera.
 * Minimum of two (2) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts
 * An Active TS/SCI clearance with polygraph is required

Additional Desired Qualifications:

Preferred, not required, to have one of the following Cloud Developer Certifications:
*

 + AWS Certified Developer-Associate
 + AWS Certified Machine Learning-Associate
 + AWS Certified Machine Learning-Specialty
 + AWS Certified Machine Learning-Specialty
 + AWS DevOps Engineer Professional
 + Certified Kubernetes Application Developer (CKAD)
 * Demonstrated experience with OpenSource (NoSQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, and/or Big Table
 * Demonstrated experience with Map/Reduce and/or Hadoop, Hive, and/or Pig
 * Demonstrated experience with the Hadoop Distributed File System (HDFS)
 * Demonstrated experience with Big-Data Cloud Scalability (e.g. Amazon, Google, and/or Facebook)
 * Demonstrated experience designing and developing web applications with JavaScript
 * Demonstrated experience designing and developing automated analytic software, techniques, and algorithms
 * Demonstrated experience with compute cluster monitoring tools (e.g. Hobbit, Ganglia)
 * Demonstrated experience with Accumulo internals, to include configuring, tuning, and testing Accumulo in many configurations (>200 node clusters)
 * Competencies and Skills:
 * 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 CloudFormation or Terraform
 * Skilled in Continuous Integration, Deployment, Testing and Monitoring practices
 * Knowledge and skill in implementing and using observability tools (e.g. Elasticsearch, OpenSearch)
 * 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 development techniques and container-orchestration (e.g., Kubernetes)
 * Knowledge of security and compliance best practices

## Description

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 skilledCloud Software Engineerto join our Cyber Intelligence team inLaurel, 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 1 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.

#ClearedRoyalty

#peratonroyalmove

#MDFSP

Python, Java, C, C++, 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), cluster monitoring tools (e.g. Hobbit, Ganglia), Artificial Intelligence (AI), Large Language Model (LLM), Machine Learning (ML), AI/ML algorithms, statistical analysis, RAG, agents, and agentic workflow


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