The MITRE Corporation-posted 25 days ago
Full-time • Entry Level
Hybrid • Mclean, VA
5,001-10,000 employees
Administrative and Support Services

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. Department Summary: Digital Engineering & Systems Transformation is aimed at leveraging advanced technologies and enablers to drive engineering innovation, speed and efficiency. This role is aligned to the Digital Engineering & Systems Transformation department. MITRE is seeking a Multidiscipline Engineer with emphasis on DevOps and AI to join a dynamic and multi-disciplined organization involved in innovating solutions for complex technical systems. MITRE seeks professionals with various expertise (e.g. software tools, processes, DevSecOps, CI/CD, MLOps, AI-Enabled Systems, cloud services, agile methodologies, transition design, etc.) to work with a team of experienced experts working in digital transformation efforts.

  • Expanding prototyping and proof of concepts while advancing systems engineering practices to improve sponsor outcomes.
  • Increasing the use of modeling throughout the SELC and utilizing modeling to advance the implementation of Systems of Systems.
  • Leveraging AI and ML (including LLMs) and emerging technologies to improve systems methodology and accelerate speed of delivery for our sponsors.
  • Developing reusable artifacts and prototypes.
  • Improving system interoperability with a focus on System of Systems and enhancing data management practices and solutions for more efficient data management.
  • Modernizing legacy IT infrastructure; implementing secure, scalable, and efficient IT solutions; accelerating adoption of cloud and emerging IT technologies; and promoting automation to enhance operational efficiency and delivery for sponsors.
  • Typically requires less than 1 year of related experience with a related Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, or a related technical discipline (e.g., Electrical Engineering, Data Science, or Applied Mathematics) or equivalent combination of related education and work experience.
  • 0-2 years of relevant experience in hands on software development, systems, and/or DevOps , including internships, co-ops, or full-time roles
  • Practical understanding of the software development lifecycle, with experience using modern programming languages such as Python, Java, or C++
  • Familiarity with DevOps concepts such as automation, testing, CI/CD pipelines, or containerization (e.g., Docker, GitHub Actions, or Jenkins)
  • Foundational understanding of cloud platforms (e.g., AWS, Azure, or GCP) and how they support scalable, distributed systems
  • Exposure to Agile or Scrum methodologies and collaborative software development practices
  • Strong analytical, communication, and teamwork skills, with demonstrated ability to learn new tools and technologies quickly
  • This position requires a minimum of 50% hybrid on-site.
  • 1-2 years of experience or strong project background applying DevOps, MLOps, or AI/ML techniques to real-world or simulated systems
  • Experience with cloud-native technologies or infrastructure as code (e.g., AWS, Azure, or GCP), including provisioning IaaS/SaaS and automating deployments to enhance operational efficiency
  • Familiarity with large language models (LLMs) and emerging AI tools (e.g., OpenAI, Hugging Face, LangChain) and interest in applying them to engineering workflows or digital transformation efforts
  • Experience in software development process, tools and languages including Java, Python, SQL, JavaScript, XML, JSON, HTML/CSS, Shell, MySQL, MongoDB and Git
  • Experience developing or deploying applications using modern frameworks, APIs, or microservices architectures
  • Exposure to modeling and simulation for systems design, digital twins, or model-based systems engineering (MBSE)
  • Knowledge of data management principles, database design, and approaches for working with structured and unstructured data
  • Experience with prototyping and promoting reuse of artifacts and prototypes
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