Software Infrastructure Pipeline Engineer II (on-site)

RTX•State College, PA

2d•$68,900 - $131,100•Onsite

About The Position

Raytheon is seeking a highly skilled Infrastructure Technician/Engineer to join our Satellite Ground Systems team. This role involves designing, implementing, and maintaining the software infrastructure required for the operation and management of satellite ground systems, with a focus on automation, deployment, and monitoring. The role involves developing a suite of SDLC agents specialized for tasks like requirements analysis, code generation, debugging, and automated testing. It also includes implementing Zero Trust Security principles, designing and building a scalable agentic orchestrator, developing and integrating Model Context Protocol (MCP) into SDLC agents, crafting sophisticated prompts for Large Language Models (LLMs), implementing Agent-to-Agent (A2A) communication protocols, and integrating API-driven GenAI tools into the CICD Pipeline. Collaboration with product and engineering teams to integrate the agentic system into existing development workflows and writing clean, efficient, and well-documented code are also key aspects of this position.

Requirements

Typically requires a degree in Science, Technology, Engineering or Mathematics with experience in the field and minimum of 2 years of prior relevant experience
Active and transferable TS/SCI U.S. government issued security clearance prior to start date with the adjudication date less than three years ago from your starting date for this position.
U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
Experience with Software Infrastructure including scripting and automation
Experience with RedHat Enterprise Linux System Administration
CompTIA Security+ Certification

Nice To Haves

Experience with VMWare and AWS
Experience with Python and Bash
Good understanding of networking concepts
Software development experience in Java with unit testing and integration testing experience
Knowledge of satellite ground systems, space operations, or related domains is highly desirable.
Familiarity with secure coding practices, especially in a defense or aerospace setting.

Responsibilities

Develop a suite of SDLC agents, each specialized for tasks like requirements analysis, code generation, debugging, and automated testing.
Implement Zero Trust Security principles across the agentic ecosystem.
Design and build a robust, scalable agentic orchestrator to manage and coordinate multiple AI agents.
Develop and integrate Model Context Protocol (MCP) into SDLC agents, allowing agents to use tools.
Craft and refine sophisticated prompts to guide agent behavior and ensure high-quality, reliable outputs from Large Language Models (LLMs).
Implement Agent-to-Agent (A2A) communication protocols, enabling seamless collaboration and information sharing between agents.
Implement API-driven GenAI tools to enhance the CICD Pipeline.
Collaborate with product and engineering teams to integrate the agentic system into our existing development workflows.
Write clean, efficient, and well-documented code while following best practices for building AI-driven systems.