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Senior Systems Engineer

careers.mitre.org

McLean, Virginia, United States of America · senior
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At MITRE, your passion fuels work that impacts our nation and improves lives. This is where your skills strengthen national security, cybersecurity, health, transportation, and citizen services. We’re a nonprofit engineering, applied research, and advanced technology organization working in the public interest. With objectivity and integrity at our core, we lead federally funded research and development centers for U.S.

government agencies – collaborating with industry and academia to deliver integrated, high-impact solutions that advance our nation’s health, security, and prosperity. Our people tackle the toughest technical challenges, supported by competitive benefits, meaningful career development, and a culture of innovation, collaboration, and technical excellence. Choose MITRE for a career with purpose — and help shape the future.

Department Summary: MITRE’s Systems Engineering Analytics department is looking for qualified applicants to bring their advanced systems engineering, software engineering and data engineering skills to bear on solving problems of critical national importance. MITRE’s diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as national security, intelligence, transportation, and healthcare.

Employees may also participate in MITRE’s internal research and development program, which provides funding for innovative applied research that addresses our sponsors’ hardest problems. We are seeking a Systems Engineer to support infrastructure modernization initiatives in the National Geospatial-Intelligence Agency (NGA) across a complex enterprise environment. This role will focus on analyzing and assessing enterprise-scale compute and storage assets, capabilities, and workload hosting.

The ideal candidate will help develop processes for observing and tracing compute workloads, evaluating their impact on utilization, availability, and bottlenecks, and providing data-driven recommendations to guide future cloud and High-Performance Computing (HPC) investment decisions. Roles & Responsibilities: The successful candidate for this position is a Systems Engineer who combines strong foundations in systems engineering with hands-on experience designing and implementing systems to solve mission problems.

Our organization values innovation and believes that keeping up with the latest research and technologies is essential. The candidate will be expected to develop clear, concise, and actionable deliverables; communicate technical concepts to senior decision makers; and align capabilities to enterprise-wide mission needs. Expectations for this position are as follows: Identifies and resolves complex problems in ways that have lasting impact for an organization.

Support strategic cloud and HPC initiatives by assessing enterprise compute and storage platforms across cloud and on-premise environments. Analyze infrastructure capacity, storage options, and workload behavior to identify risks, constraints, optimization opportunities, and performance bottlenecks affecting utilization, availability, and throughput. Identify critical workloads within NGA, understand and document their compute and storage dependencies.

Assess and recommend workload orchestration and hosting approaches, including scheduling, containerization, and pipelining. Translate complex technical findings into clear recommendations for both technical and non-technical audiences. Basic Qualifications: Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field with 5 years of relevant experience. Ability to rapidly understand unfamiliar mission problems and translate them into technical approaches Strong systems thinking and analytical problem-solving skills Experience integrating commercial, government, and open-source technologies to solve operational problems Ability to analyze complex technical information and communicate findings and recommendations clearly

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