Cloud-Native Java Engineer for Scalable AI/ML Platforms

Peraton; Annapolis (MD); On-site; USD 146,000 - 234,000; Full time

Job summary

Peraton is seeking an experienced Software Engineer to design, build, and operate scalable distributed systems and cloud-native apps. The role emphasizes Java and distributed computing, with hands-on Kubernetes, containerization, and AWS experience to move the platform beyond JAVA/JVM and enable secure AI/ML model training and deployment at scale.

The ideal candidate will bring deep knowledge of Kubernetes, Docker, and AWS, along with a strong Systems Engineering background and a track record of

Qualifications

• Active TS/SCI clearance with current polygraph.
• Twenty (20) years of Systems Engineering experience on programs of similar scope, type, and complexity.
• Bachelor's degree in systems engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related discipline; in lieu of a degree, an additional five (5) years of relevant Systems Engineering experience may be substituted.

Responsibilities

• Design, build, and operate highly scalable distributed systems and cloud-native applications.
• Move the platform beyond JAVA/JVM, creating a secure env where AI/ML models can be trained and deployed at scale.
• Hands-on experience with Kubernetes and containerized workloads; Docker/containerization; AWS.

Skills

Java

Distributed computing

Kubernetes

Containerization

AWS

Education

Bachelor's degree in Systems Engineering or related

Tools

Docker

Job description

Peraton is seeking an experienced Software Engineer to design, build, and operate scalable distributed systems and cloud-native apps. The role emphasizes Java and distributed computing, with hands-on Kubernetes, containerization, and AWS experience to move the platform beyond JAVA/JVM and enable secure AI/ML model training and deployment at scale.

The ideal candidate will bring deep knowledge of Kubernetes, Docker, and AWS, along with a strong Systems Engineering background and a track record of