AI Infrastructure Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Infrastructure Engineer UNAVAILABLE, UNAVAILABLE, US Basic Qualifications Requires a Bachelor's degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 8+ years of job-related experience, or a Master's degree plus 6 years of job-related experience. Agile experience preferred. 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 ROLE AND POSITION OBJECTIVES: Intelligent Data Management: Use AI tools to analyze, map, and automate the data migration from the existing workflows and systems Design modern, flexible data architectures, not locked to legacy patterns Leverage AI to detect data quality issues, validate migration results, and optimize database performance Partner with the development team to auto-tune queries and optimize storage architecture Automated Deployment & Self-Healing Infrastructure: Build fully automated CI/CD pipelines with AI-powered testing, canary analysis, and automatic rollback Deploy and manage applications using Kubernetes and container orchestration with infrastructure-as-code Build self-healing systems that detect, diagnose, and resolve common issues automatically, only escalating truly novel problems to humans Automate

Read the full description at careers-gdms.icims.com. FewerJobs shows a preview and links to the original posting.