Software Infrastructure Pipeline Engineer I (on-site)

RTX•State College, PA

10h•Onsite

About The Position

Raytheon is seeking a highly skilled Senior Infrastructure Pipeline Engineer I 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 is an onsite position in State College, PA. The company, RTX, is the world's largest aerospace and defense company, focused on solving complex problems and connecting and protecting the world. Raytheon brings over 100 years of experience and engineering expertise to meet mission needs and stay ahead of threats, delivering solutions that help the nation and allies defend freedoms and deter aggression.

Requirements

Typically requires a degree in Science, Technology, Engineering or Mathematics
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.