Cloud Software Engineer Level 3 ? AI/ML Project 3 TS/SCI w Poly
Role details
Job location
Tech stack
Job 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 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
Requirements
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Cloud Expertise: Deep experience in AWS Cloud Architecture, SDKs, APIs, and cloud services integration
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AI/ML Integration: Familiarity with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks
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IaC & DevOps: Hands-on with CloudFormation or Terraform, and modern CI/CD pipelines
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Programming Proficiency: Strong in Java for distributed systems with a solid grasp of networking, multi-threading, and concurrency
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Containers & Orchestration: Knowledge of Kubernetes and microservices architecture
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Security-Minded: Working knowledge of cloud security principles and compliance best practices
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Scripting & Systems: Competent in Linux environments with scripting skills in Python, Ruby, Perl, or similar
#peratonroyalmove #MPOJobs #AJCM #PeratonRoyalMove #MDFSP Keywords: Python, Java, 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: LU
- 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