Cloud Software Engineer Level 3 - AI/ML Project 3 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 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 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 DevOps 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 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 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 & 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 #J-18808-Ljbffr Peraton