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

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

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 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

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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

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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

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

Investing in Your Growth: Selected candidates may be eligible for enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.

Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.