Cloud Software Engineer Level 2 – AI/ML TS/SCI w/Poly

Welcome page Returning candidate? Log back in! Cloud Software Engineer Level 2 – AI/ML TS/SCI w/Poly Job Locations US-MD-Laurel Requisition ID 2026-166843 Position Category Information Technology Clearance Top Secret/SCI w/Poly Responsibilities 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 2 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 & DevOps: Hands-on with CloudFormation 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  #peratonroyalmoveMPOJobs #AJCM #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  Qualifications Basic Qualifications:  LUA 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.   Five (5) 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  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 DevOps Engineer Professional Certified Kubernetes Application Developer (CKAD)A minimum of five (5) years of experience in software development/engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem  diagnosis/resolution. A minimum of four (4) years of experience developing software with high level languages such as Java, C, C++ Demonstrated ability to work with OpenSource (NoSQL) 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...