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

Peraton Inc
Laurel, MD, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$135,000 - $216,000
Working hours
Regular working hours

Tech stack

Testing (Software) C (Programming Language) Java (Programming Language) Apache Accumulo Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Software Applications Big Data BigTable C++ (Programming Language)
+52 more
Cloud Computing Cloud Computing Security Computer Programming Continuous Integration Serialization Data Structures Linux DevOps Distributed Systems Elasticsearch Perl (Programming Language) Event-Driven Programming Ganglia (Software) Apache Hadoop Hadoop Distributed File System MapReduce Monitoring of Systems Apache HBase Apache Hive JSON Python (Programming Language) Linux System Administration Machine Learning NoSQL Object-Oriented Software Development Open Source Technology Red Hat Enterprise Linux Cloud Services Ruby Software Engineering Systems Integration Multithreading Scripting Retrieval-Augmented Generation Bson Large Language Models Grafana Test Scripts Generative AI Cyber Threat Analysis Agentic-AI Cloudformation Kubernetes Infrastructure Automation Frameworks Information Technology Data Analytics Machine Learning Operations Restful APIs Terraform Software Version Control OpenSearch Microservices

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 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.

Requirements

Cloud Computing, Sensitive Compartmented Information (SCI), Artificial Intelligence (AI), Top Secret Clearance, Software Engineering, Cyberspace, Cloud Computing, Software Engineering, Leading Edge Technology, Team Player, * 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

ClearedRoyalty

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, * 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 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 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 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.

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 areas 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 & conditions

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 https://www.careers.peraton.com/benefits.

About the company

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.

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