Resiliency Automation Engineer – Embedded Systems

Software Engineering Institute | Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Job summary

Software Engineering Institute at Carnegie Mellon University seeks a Resiliency Automation Engineer to advance embedded systems development in regulated environments. You will design and maintain CI/CD pipelines, static analysis workflows, and toolchains for secure, maintainable code.

Collaborate across development, verification and operations, travel up to 25%, and contribute to software engineering best practices while guiding deployment and test automation in Linux, C/C++, and Java

Qualifications

• BS in Computer Science, Software Engineering, Computer Engineering, or related field with 8 years of relevant experience; OR MS with 5 years; OR Ph.D. with 2 years.
• Willingness to travel 25% to SEI offices, sponsor sites, conferences, and offsite meetings.
• Must be able to obtain and maintain DoW security clearance.

Responsibilities

• Design, implement, and maintain CI/CD pipelines and automated workflows for embedded projects in C, C++, and Java.
• Integrate and manage static analysis tools (e.g., SonarQube, CppCheck, Clang-Tidy) to monitor code quality and standards.
• Collaborate with teams to automate test, build, and deployment processes for embedded firmware and software systems.
• Automate infrastructure provisioning and configuration management (Docker, Kubernetes) for test, staging, and production environments.

Skills

CI/CD pipelines

Automation workflows

Embedded software

Linux familiarity

Security awareness

Education

BS in CS/CE/related field

MS in CS/IS/Engineering/Acquisition Management

Ph.D. in related field

Tools

Docker

Kubernetes

SonarQube

CppCheck

Clang-Tidy

Job description

Software Engineering Institute at Carnegie Mellon University seeks a Resiliency Automation Engineer to advance embedded systems development in regulated environments. You will design and maintain CI/CD pipelines, static analysis workflows, and toolchains for secure, maintainable code.

Collaborate across development, verification and operations, travel up to 25%, and contribute to software engineering best practices while guiding deployment and test automation in Linux, C/C++, and Java