Staff Systems Engineer - Systems Analyst (26-348) with Security Clearance

At Northrop Grumman, we don’t just observe the future; we build it. As a Staff Systems Engineer and Systems Analyst, you will step into a pivotal role where your technical expertise directly influences revolutionary systems that secure our nation and shape the global landscape. This is a rare opportunity for a high-impact professional to join a legacy of innovation, working alongside industry-leading experts to solve complex, real-world challenges that push the boundaries of what is possible in modern technology.

In this dynamic position, you will serve as a critical bridge between intricate technical requirements and high-level system performance, ensuring our solutions are as robust as they are inventive. We are looking for a forward-thinking problem solver who thrives in a collaborative environment and is ready to leverage their skills on projects that define the next generation of engineering excellence. Because this role requires an active Secret clearance, you will be trusted with high-stakes missions from day one, gaining unparalleled experience that will accelerate your career trajectory within our global Technology organization.

We are committed to fostering a culture of curiosity, integrity, and relentless drive, and we invite you to bring your unique perspective to our diverse team. With a modest 10% travel requirement, you will have the chance to engage with stakeholders and witness the tangible impact of your work firsthand. If you are ready to apply your technical acumen to missions that matter, contribute to a history of pioneering advancements, and grow alongside the best minds in the industry, we invite you to apply for the Staff Systems Engineer - Systems Analyst (26-348) position today.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.