Cloud Software Engineer - AI​/ML Project Top Secret​/SCI w​/Poly

Cloud Software Engineer AI/ML Project Top Secret/SCI w/Poly Job Location s

US-MD-Laurel

Information Technology

Top Secret/SCI w/Poly

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 1 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.

#peratonroyalmove

#Cleared Royalty

#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

Basic Qualifications:

• A Bachelor's Degree in Computer Science or in a related technical field from an accredited college or university is highly desired which will be considered equivalent to two (2) years of experience.
  
  NOTE:
  
  A degree in Mathematics, Information Systems, Engineering, or similar degree will be considered as a technical field.
• Two (2) 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
• At least 2 years of experience in software development/engineering, including requirements analysis, software development, installation, evaluation, enhancement, maintenance, and problem diagnosis/resolution.
• Have demonstrated ability to work with Open Source (No
  
  SQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, Big Table, etc.
• Have at least one (1) year of experience developing software with high level languages such as Java, C, C++, et cetera.
• Minimum of two (2) years of experience in software integration and software testing, to include developing and implementing test plans and test scripts
• An Active TS/SCI clearance with polygraph is required

Additional Desired

Qualifications:

Preferred, not required, to have one of the following Cloud Developer

Certifications:

• • AWS Certified Developer-Associate
  • AWS Certified Machine Learning-Associate
  • AWS Certified Machine Learning-Specialty
  • AWS Certified Machine Learning-Specialty
  • AWS Dev Ops Engineer Professional
  • Certified Kubernetes Application Developer (CKAD)
• Demonstrated experience with Open Source (No
  
  SQL) products that support highly distributed, massively parallel computation needs such as Hbase, Accumulo, and/or Big Table
• Demonstrated experience with Map/Reduce and/or Hadoop, Hive, and/or Pig
• Demonstrated experience with the Hadoop Distributed File System (HDFS)
• Demonstrated experience with Big-Data Cloud Scalability (e.g. Amazon, Google, and/or Facebook)
• Demonstrated experience designing and developing web applications with Java Script
• Demonstrated experience designing and developing automated analytic software, techniques, and algorithms
• Demonstrated experience with compute cluster monitoring tools (e.g. Hobbit, Ganglia)
• Demonstrated experience with Accumulo internals, to include configuring, tuning, and testing Accumulo in many configurations (>200 node clusters)
• Competencies and
  
  Skills:
• Experience with…