[Hiring] AI Infrastructure Engineer @General Dynamics Mission Systems, Inc

Role Description

This is not a typical infrastructure job. You are building the deployment backbone for a strategic initiative that will define how GDMS builds and operates software going forward. The CI/CD pipelines, the data migration patterns, the production infrastructure you create here will become the blueprint for the future in-house development project.

Responsibilities for this Position

• 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 environment provisioning, scaling, and configuration so nothing is done manually.
• AI-Powered Automation & Integration:
  • Use AI to automate operational tasks, eliminate manual, repetitive work that doesn't scale.
  • Build intelligent integration management between the new application and existing enterprise systems.
  • Leverage AI-assisted tools to generate, optimize, and maintain deployment tooling.
  • Auto-generate documentation from code, configurations, and system behavior.
• Proactive Reliability Engineering:
  • Implement AI-powered observability that detects patterns, predicts failures, and suggests or executes fixes automatically.
  • Build systems where the lights rarely flicker, engineer reliability into the architecture, not bolt it on after.
  • Use AI to analyze incident patterns and build preventative measures that eliminate entire classes of failures.
  • Establish and track Service Level Objectives (SLOs) using automated data collection and reporting.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, plus a minimum of 5 years of relevant experience; or Master's degree plus a minimum of 3 years of relevant experience.
• Demonstrated expertise with relational databases (Oracle, PostgreSQL, MySQL, or similar).
• Hands-on experience deploying and managing applications with Kubernetes.
• Experience building and maintaining CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar).
• AWS RDS or other cloud-managed relational database services.
• Cloud-managed Kubernetes (AWS EKS, Azure AKS, GCP EKS).

Requirements

• Experience with data migration from legacy workflows and systems.
• Proficiency with infrastructure-as-code tools (Terraform, Ansible, or similar).
• Experience with container technologies (Docker, Helm charts).
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack, or similar).
• Python scripting experience for automation and tooling.
• Understanding of Site Reliability Engineering (SRE) principles.
• Experience working in DoD or regulated environments.
• Identifies opportunities to apply AI for continuous improvement and innovation.

Mindset (This Matters as Much as Skills)

• Focused on clearing roadblocks, not creating them.
• Driven by the desire to transform solutions.
• Obsessed with automation; if you're doing something manually more than twice, you should be writing code to automate it.
• Reliable under pressure.
• Comfortable working in a fast-moving environment where the playbook is being written as you go.

Salary Note

This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.

Combined Salary Range

USD $157,487.00 - USD $174,713.00 /Yr.

Company Description

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!