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

Peraton Overview

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.

Responsibilities

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.

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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

Qualifications

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