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Software Developer - Journeyman / Operations Research Software Engineer

Mks2technologies

Monterey, CA, US$143k – $160konsite

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About this role

MKS2 Technologies, LLC, an award-winning high growth small business, creates innovative and customer-centric technology solutions in the areas of Cyber Security, Instructional Design and Training, Software Engineering and IT Support Services to improve the security and well-being of our clients. Our commitment to excellence and our “Mission First” orientation has resulted in steady growth and an expanding client base across government agencies. We have employees nationwide and for the past three consecutive years were named one of the fastest growing Veteran-owned companies in the nation. Please take a moment to browse through our website and learn more about what it means to serve with MKS2.

Software Developer - Journeyman / Operations Research Software Engineer

Location: Naval Postgraduate School, Monterey, CA / Remote from contractor facilities, as appropriate Clearance Required: U.S. Citizenship Required Employment Type: Full-Time Salary Range: $143,000-$160,000

Position Overview

MKS2 is seeking a highly skilled Software Developer - Journeyman / Operations Research Software Engineer to support modernization of the Naval Postgraduate School Replenishment at Sea Planner (RASP) , a government-owned software platform used for real-world Navy logistics planning, budgeting, and operational decision support.

This position will develop, maintain, and enhance optimization code, web-based interfaces, Excel/VBA tools, and Microsoft Office 365-enabled capabilities that support Navy replenishment-at-sea operations, multi-tier logistics modeling, consolidation event planning, and operational scenario development.

The ideal candidate will bring strong experience in Python, Pyomo, mathematical optimization, Navy logistics operations, and software engineering best practices, with the ability to translate complex operational requirements into professionally tested and executable software solutions.

Key Responsibilities

• Develop, maintain, and enhance RASP software using Python, Pyomo, GAMS, and related open-source or optimization environments.

• Evaluate and support integration of advanced optimization tools, including NVIDIA cuOpt, where appropriate.

• Develop and deploy an Excel/VBA front-end to support local RASP installations.

• Support transition of RASP capabilities into Microsoft Office 365 environments.

• Design, develop, and deploy web-based RASP user interfaces within Naval Postgraduate School-hosted computing environments.

• Enhance RASP to support multi-tier logistics modeling, consolidation events, operational planning workflows, and replenishment-at-sea decision support.

• Maintain and update interfaces between RASP and other funded Navy programs that align with RASP objectives.

• Translate logistics, optimization, and user-interface requirements into executable, documented, and professionally tested software solutions.

• Produce fully documented code, comments, repositories, technical reports, test results, benchmark outputs, and open-source component documentation.

• Validate benchmarked outputs, minimize processing lag, identify defects, and troubleshoot software performance issues.

• Support user acceptance testing, stakeholder feedback, and iterative software improvements.

• Develop operational scenarios and provide technical support to NPS faculty and student research efforts.

• Ensure all work complies with CUI, OPSEC, and government intellectual-property requirements.

Required Qualifications

Education

• Master of Science degree required.

• Degree requirement may be waived for candidates with ten (10) years of at-sea replenishment experience and strong evidence of advanced mathematical modeling skills.

Experience

• Minimum five (5) years of experience with Python, Pyomo, and other open-source software systems.

• Minimum five (5) years supporting Department of the Navy logistics commands in replenishment-at-sea operations.

• Experience supporting operational analysis, scheduling improvement recommendations, and participation in wargames, exercises, or operations.

• Minimum five (5) years developing or supporting Python web-server environments.

• Demonstrated experience translating logistics, optimization, and user-interface requirements into executable, professionally tested software solutions.

Citizenship / Clearance

• U.S. citizenship is required.

Desired Qualifications

• Experience with GAMS, Python/Pyomo optimization models, and advanced optimization tools such as NVIDIA cuOpt.

• Advanced proficiency with Microsoft Office, Excel, Visual Basic for Applications (VBA), and Office 365 interface development.

• Experience developing web-based user interfaces and deploying software in hosted server environments.

• Knowledge of mathematical optimization, multi-tier logistics modeling, and consolidation event planning.

• Strong software documentation, code repository management, testing, benchmarking, troubleshooting, and operational scenario-development skills.

• Experience supporting Navy logistics, operational research, maritime planning, or replenishment-at-sea mission areas.

Knowledge, Skills, and Abilities

• Strong understanding of mathematical optimization, logistics modeling, and operational decision-support tools.

• Proficiency developing Python-based software solutions in structured, professional software environments.

• Ability to work with Pyomo, GAMS, and related optimization frameworks.

• Strong understanding of Python web-server environments and hosted application deployment.

• Ability to develop intuitive user interfaces for technical and operational users.

• Advanced Excel, VBA, and Office 365 development skills.

• Strong technical documentation, software testing, benchmarking, and troubleshooting abilities.

• Ability to collaborate with government stakeholders, faculty, researchers, students, and technical teams.

• Strong analytical mindset with the ability to translate Navy logistics requirements into practical softwar

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