DevOps/AI Engineer

The MITRE Corporation

$95K — $119K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant technical field or higher and related experience
  • Hands-on experience with software development lifecycle and modern programming languages (Python, Java, C++)
  • Experience designing and implementing DevOps practices, including CI/CD and containerization
  • Knowledge of cloud platforms (AWS, Azure, GCP) and their application in distributed systems
  • Familiarity with Agile/Scrum methodologies and collaborative software development
  • Strong analytical, communication, and teamwork skills
  • Minimum of 4 days a week on-site requirement

Responsibilities

  • Lead design and delivery of DevOps and AI/ML capabilities to enhance systems engineering practices
  • Architect and implement CI/CD pipelines and MLOps workflows across environments
  • Utilize AI and ML technologies to improve engineering methodologies and automate workflows
  • Increase modeling utilization within the SELC and enhance system interoperability
  • Develop reusable artifacts and promote adoption across teams
  • Modernize legacy IT infrastructure with secure, scalable solutions
  • Provide technical guidance and mentorship to junior engineers

Benefits

  • On-site work environment emphasizing team collaboration
  • Opportunities to work with cutting-edge technologies in AI and DevOps
  • Engagement in meaningful projects with a focus on digital transformation
  • Mentorship opportunities within a multi-disciplinary team
  • Continuous learning and skill development in emerging technologies
Full Job Description
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 Senior 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 driving digital transformation efforts.

Roles & Responsibilities:
  • Leading the design, prototyping, and delivery of DevOps and AI/ML capabilities that advance systems engineering practices and improve sponsor outcomes.
  • Architecting and implementing CI/CD pipelines, containerized deployments, and MLOps workflows across cloud and on-premises environments to accelerate speed of delivery.
  • Applying AI and ML (including LLMs) and emerging technologies to improve engineering methodology and automate complex workflows.
  • Increasing the use of modeling throughout the SELC, advancing the implementation of Systems of Systems and improving system interoperability and data management.
  • Developing reusable artifacts, reference architectures, and prototypes, and promoting their adoption across teams.
  • Modernizing legacy IT infrastructure by implementing secure, scalable, and efficient solutions and accelerating adoption of cloud and emerging technologies.
  • Providing technical guidance and mentorship to junior engineers while collaborating across multi-disciplinary teams.


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) and a minimum of 2 years of related experience; or a master's degree and 1 years of related experience; or a PhD with relevant experience; or an equivalent combination of related education and work experience
  • Demonstrated, hands-on experience across the software development lifecycle using modern programming languages such as Python, Java, or C++
  • Proven experience designing and implementing DevOps practices, including automation, testing, CI/CD pipelines, and containerization (e.g., Docker, Kubernetes, GitHub Actions, or Jenkins)
  • Working knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and how they support scalable, distributed systems
  • Experience applying Agile or Scrum methodologies and collaborative software development practices
  • Strong analytical, communication, and teamwork skills, with a demonstrated ability to learn and apply new tools and technologies
  • This position requires a minimum of 4 days a week on-site


Preferred Qualifications:
  • 3+ years of experience applying DevOps, MLOps, or AI/ML techniques to real-world or operational systems
  • Experience with cloud-native technologies and infrastructure as code (e.g., AWS, Azure, GCP, or Terraform), including provisioning IaaS/SaaS and automating deployments to enhance operational efficiency
  • Hands-on experience with large language models (LLMs) and emerging AI tools (e.g., OpenAI, Hugging Face, LangChain), with interest in applying them to engineering workflows or digital transformation efforts
  • Proficiency across a broad software stack 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
  • Active or current DoD or federal government security clearance


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:
$95,200 - $119,000 - $142,800 Annual

Work Location Type:
Onsite

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