Advanced Information Systems Specialist
General Dynamics - Manassas, VA, US; Groton, CT, US
Posted Jun 12, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Advanced Information Systems Specialist Manassas, VA, US; Groton, CT, US Basic Qualifications Bachelor's degree in a specialized area or equivalent relevant experience is required; plus, a minimum of 5 years of relevant experience; or Master's degree, plus 3 years of relevant experience. CLEARANCE REQUIREMENTS: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Responsibilities for this Position General Dynamics Mission Systems has an immediate opening for a Progeny AI DevOps Lead. This position provides an opportunity to further advance the cutting-edge technology that supports some of our nation's core defense/intelligence services and systems. General Dynamics Mission Systems employees work closely with esteemed customers to develop solutions that allow them to carry out high-stakes national security missions. Key Responsibilities: Identifies opportunities to apply AI for continuous improvement and innovation. Automatic backlog grooming to identify old/stale Jira tasks that align with current development efforts, paired with recurring issue analysis to surface patterns in bug reports and recommend solutions Using AI to create Jira tickets from meeting notes and feedback, estimate sprint capacity against the backlog, and identify how many items can meaningfully be worked in a gi
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