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

About The Role

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 2Engineer 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

#MDFSP

#peratonroyalmove

it, Ganglia), Artificial Intelligence (AI), Large Language Model (LLM), Machine Learning (ML), AI/ML algorithms, statistical analysis, RAG, agents, and agentic workflow 

Qualifications

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.   

• 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  O penSource (NoSQL) products that support highly distributed, massively parallel computation needs such as  H base , A cumulo , 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 three (3) 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 an d 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.

In addition, the candidate will have  demonstrated experience,  work or college level courses, in at least two (2) of the desired characteristics:

• Experience deploying applications in a cloud environment.
• Understanding of Big-Data Cloud Scalability (Amazon, Google, Facebook)
• Experience designing and developing automated analytic software, techniques, and algorithms.
• Experience with taxonomy construction for analytic disciplines, knowledge  a reas and skills.
• Experience developing and  deploying: data driven analytics; event driven analytics; sets of analytics orchestrated through rules engines.
• 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.

An Active TS/SCI clearance with polygraph is required 

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.

Details

Target Salary Range: $135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: 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 

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.