SYSTEMS ENGINEER I

MIKEL INCMiddletown, RI
Onsite

About The Position

MIKEL invests in people and technology – empowering the creative process, building responsive relationships, and propelling innovative solutions from conception to completion for the U.S. Navy. MIKEL is a small woman owned business that has been providing Undersea Warfare Solutions to the Department of Defense since the company’s inception in 1999. Be a part of our dynamic team whose solutions and services enable the Navy to solve their toughest problems and meet their mission requirements. We have undersea operations experience, combined with engineering and specific subject matter expertise, that provides an in-depth understanding of the problem and a novel, innovative and cost-effective solution. MIKEL is committed to providing an environment that challenges its employees to use and advance their skills and knowledge to provide solutions that exceed customer expectations.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Cybersecurity, Systems Engineering, or Equivalent combination of education and relevant experience OR equivalent combination of education and relevant experience
  • 1–2 years of relevant technical experience, which may include systems engineering support, data analysis, IT systems, or cybersecurity-related activities
  • Active Secret Security Clearance
  • Exposure to Artificial Intelligence / Machine Learning (AI/ML) concepts, including data analysis, model evaluation, or applied coursework/projects
  • Foundational understanding of systems engineering lifecycle processes, including requirements development, design, integration, testing, and sustainment
  • Familiarity with system architecture concepts and structured engineering approaches, including decomposition, interfaces, and data flows
  • Working knowledge of programming or scripting languages such as Python, C++, R, or similar
  • Understanding of data structures, databases, or data processing techniques relevant to system design and analysis
  • Ability to work within a collaborative technical environment, contributing to problem-solving and development of engineering artifacts

Nice To Haves

  • Master’s Degree in Computer Science, Data Science, Cybersecurity, Systems Engineering, or Equivalent combination of education and relevant experience
  • Experience supporting system rearchitecture, modernization, or integration efforts within complex or distributed systems
  • Exposure to Artificial Intelligence / Machine Learning (AI/ML) concepts, including data analysis, model evaluation, or applied academic or project-based experience
  • Experience with data modeling, logical data structures, or enterprise data environments
  • Familiarity with DevSecOps or Agile development practices, including version control and continuous integration workflows
  • Experience with tools and platforms such as Linux, Git, Docker, VMware, or cloud-based development environments
  • Experience supporting DoD enterprise systems, data environments, or operational IT platforms
  • Understanding of cybersecurity principles, including secure system design, vulnerability management, or risk mitigation approaches
  • Experience developing technical documentation and system artifacts, such as architecture diagrams, interface control documents (ICDs), or data flow diagrams
  • Ability to contribute to cross-functional engineering teams, including coordination across software, systems, data, and cybersecurity disciplines
  • CompTIA Security+
  • CompTIA Network+
  • Cisco Certified Network Associate (CCNA) (Routing & Switching track)

Responsibilities

  • Support SWFTS rearchitecture activities, including system decomposition, interface definition, and architectural updates
  • Support engineering activities within NUWC and DoD operational environments, ensuring alignment with mission and system performance requirements
  • Assist in development and refinement of logical data models and system representations supporting tactical systems
  • Contribute to integration of AI/ML-enabled capabilities, including data preparation, model evaluation, and operational alignment
  • Support requirements analysis, traceability, and verification across rearchitecture efforts
  • Assist in development of technical artifacts, including architecture diagrams, interface control documents (ICDs), and data flow representations
  • Support configuration management and risk management activities associated with system modernization
  • Collaborate with multidisciplinary teams across systems engineering, software, cybersecurity, and data domains

Benefits

  • Medical/Dental/Vision Insurance
  • Flexible Spending Account (FSA)
  • 401k Retirement Plan
  • Life Insurance
  • Disability Insurance
  • Paid Time Off (PTO)
  • Tuition Reimbursement
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service