Associate, DevOps/AI Engineer

The MITRE Corporation•Mclean, VA

74d•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.

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