Skip to main content
An independent guide to Arizona’s AI economyData refreshed daily · Aug 12, 2026
All open roles

Open role

Senior Software Systems Quality Engineer onsite Tucson, AZ

RTX (Raytheon)Tucson, AZ$86,800 - $165,200

This engineer will help ensure software products and engineering processes satisfy contractual, technical, and quality expectations across multiple air and missile defense programs. Working within Quality and Mission Assurance, the position partners with software, systems, integration and test, safety, hardware quality, customers, and program leadership. Responsibilities include evaluating requirements and releases, reviewing documentation and code-related artifacts, participating in technical boards and peer reviews, witnessing testing, tracking quality measures, and supporting audits. The engineer will also assess risks, investigate process problems, and drive root-cause and corrective-action activities while encouraging Agile and DevSecOps practices. It suits an experienced quality or systems professional with defense-oriented engineering experience, strong analytical and communication skills, and an active Secret clearance or the ability to meet the stated clearance requirements.

Requirements

Bachelor’s degree in a STEM field and typically five years of quality or engineering experienceFive years applying software quality, systems engineering, testing, requirements, release, defect, or metrics practicesExperience with Agile or Scrum, CI/CD, software lifecycle processes, and configuration managementU.S. citizenship and ability to obtain and maintain a DoD Secret clearance; active clearance required after day oneExperience with quality standards, compliance reviews, audits, risk assessment, and corrective actionsAbility to work onsite Monday through Friday in Tucson, Arizona
Apply for this role

Listed August 12, 2026 · Verify details with the employer before applying.

About RTX (Raytheon)

Tucson houses Raytheon's missile and defense HQ producing precision-guided systems, and has flight-tested an AI/ML-powered Radar Warning Receiver.