Full Stack Software Engineer (Storage & Data Platform Focus)
HybridBeavercreek, Ohio, United States
Job Summary
Design and implement software solutions for platform storage and data persistence services supporting modeling and simulation applications and warfighter AI/ML workloads. Develop backend services managing datasets, digital artifacts, and metadata while assisting with hybrid cloud-native and on-premises storage architectures within Kubernetes environments. Build web applications for data asset discovery and maintain automation for backup, replication, and recovery workflows. Collaborate with DevSecOps teams to integrate storage services with identity, authorization, and monitoring solutions, ensuring compliance across classified and unclassified deployments.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or related discipline
- Ability to obtain a DoD Secret security clearance
- Ability to learn complex software ecosystems and rapidly become proficient in new platforms and technologies
- Experience with distributed storage platforms such as Ceph, Longhorn, OpenEBS, Portworx, GlusterFS, or equivalent solutions
- Experience deploying or supporting applications within Kubernetes environments
- Experience with on-premises storage infrastructure and storage management
- Strong understanding of Linux file systems (ext4, XFS, Btrfs, ZFS), POSIX, VFS
- Familiarity with cloud-native storage technologies including Persistent Volumes (PV), Persistent Volume Claims (PVC), Storage Classes, and CSI drivers
- 1–5 years of professional software development experience
- Experience developing backend services using one or more modern programming languages: GoLang Python Java C#
- Experience developing web applications using: React TypeScript JavaScript
- Experience working with relational or non-relational databases
- Understanding of software engineering principles and data management concepts
- Familiarity with Linux development environments
Desired Qualifications
- Experience with RDBMS such as PostgreSQL, MySQL, or MSSQL
- Experience with non-RDBMS such as MongoDB, Redis, or Elastic/OpenSearch
- Experience supporting data-intensive workloads, such as distributed AI/ML, digital engineering, or modeling and simulation applications
- Familiarity with infrastructure-as-code, GitOps, Helm, ArgoCD, or Kubernetes platform operations
- Experience supporting classified, air-gapped, or secure computing environments
- Familiarity with S3-compatible object storage technologies
- Understanding of metadata management and data cataloging concepts
- Familiarity with API-driven data access patterns
- Exposure to infrastructure-as-code and GitOps practices
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