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.

Roles & 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.

Basic Qualifications:

- Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, or a related technical discipline (e.g., Electrical Engineering, Data Science, or Applied Mathematics)

- Minimum 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

Preferred Qualifications:

- 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

This requisition requires the candidate to have a minimum of the following clearance(s):
None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
None

Salary compensation range and midpoint:
$103,600 - $129,500 - $155,400 Annual

Work Location Type:
Hybrid