Senior DevOps/AI Engineer

MITRE; Bedford (MA); On-site; USD 129,000 - 194,000; Full time

Job summary

MITRE seeks a Senior Multidiscipline Engineer with emphasis on DevOps and AI to join a dynamic, multi‑discipline organization crafting innovative solutions for complex systems.

You will design and deliver DevOps/ML capabilities, implement CI/CD pipelines, and guide teams across cloud and on‑prem environments, applying AI/ML to streamline engineering workflows and improve sponsor outcomes. This is an onsite role in Massachusetts.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Systems Engineering, or related field with 3+ years of related experience, or Master’s/PhD with relevant experience.
• Hands-on software lifecycle experience with Python/Java/C++ and modern DevOps practices.
• Cloud platforms knowledge and experience with CI/CD, containers, and Agile development.

Responsibilities

• Lead design, prototyping, and delivery of DevOps and AI/ML capabilities for systems engineering.
• Architect CI/CD pipelines, containerized deployments, and MLOps across cloud/on‑prem environments.
• Apply AI/ML to improve engineering workflows and automate complex processes.
• Promote modeling and data management across teams; develop reusable artifacts and reference architectures.
• Modernize legacy IT with secure, scalable solutions, advancing cloud adoption.
• Mentor junior engineers and collaborate across multi-disciplinary teams.

Skills

Python

Java

C++

CI/CD

Agile methodologies

Cloud platforms

Teamwork

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

GitHub Actions

Jenkins

AWS

Azure

GCP

Job description

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.

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.

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-premise 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 5 years of related experience; or a Master’s degree and 3 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 3 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:

$129,200 - $161,500 - $193,800 Annual

Work Location Type:

Onsite

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.

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