Application Infrastructure Engineer The Opportunity: Everyone is trying to “harness the cloud,” but not everyone knows how. As a cloud computing infrastructure architect, you know how to take advantage of cloud capabilities. On our team of experienced
Belay Technologies has been voted Baltimore Business Journals (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021! Belay Technologies is seeking a Mid-Level Software Engineer to join our intel team.
We are seeking a highly skilled DevSecOps Engineer to support a program with the Defense Information Systems Agency (DISA). The ideal candidate will provide engineering, integration, administration, and operational support for a software factory infrastructure and
Active Top Secret (TS/SCI) clearance with polygraph is required. Visionist has an exciting new, fully FUNDED opportunity for a Software Product Lead on our largest PRIME contract. We are seeking an experienced technical leader to guide
General information Requisition # R68371 Locations USA-MD-Fort Meade Posting Date 06/03/2026 Security Clearance Required TS/SCI w/ Poly Remote Type Onsite Time Type Full time Description & Requirements Unlock the secrets of intelligence with MANTECH! Join a
Description Markon is seeking a Software Engineer 3 to support the Fort Meade customer as part of the MT&E team. This role focuses on the design, development, and deployment of cloud-native applications and services within AWS
Information Systems Security Engineer (ISSE) The Opportunity: Are you looking for an opportunity to apply your expertise in cybersecurity, risk management, and secure system design to strengthen national defense and protect mission-critical AI-enabled capabilities? As an
Everforth ECS is seeking a Network Engineer to work in a hybrid onsite/remote capacity in the Fort Meade, MD customer site and/or Fairfax, VA office, with occasional travel to Ashburn, VA. Job Description: Everforth ECS is
AI/ML Engineer The Opportunity: As an experienced engineer, you know that building reliable and scalable AI systems requires far more than just model development—it demands strong software engineering practices, automation, and seamless integration across complex environments.