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Miratech

Operations Research Engineer

Miratech

. Research, design, and develop optimization models for contact center workforce planning, scheduling, and resource allocation .

Posted 10/27/2026full-timeRemote • New York • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing optimization models for workforce planning and scheduling, utilizing tools such as OR-Tools and programming languages like Java, Python, or C++. Strong analytical and problem-solving skills are essential for translating complex business requirements into effective mathematical models.

Highest-signal resume keywords
Optimization Solutions DesignOR-Tools (CP-SAT) ProficiencyLinear Programming ExpertiseProduction-Ready Service DevelopmentWorkforce Scheduling Problem Solving

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Optimization ModelingLinear ProgrammingInteger ProgrammingStochastic OptimizationJavaPythonC++Data AnalysisAlgorithm ValidationMathematical Modeling
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication Skills
Tools & Technologies
OR-ToolsAWSGCPAzureAI-Assisted Software Development
Industry Keywords
Workforce Management (WFM)Resource AllocationSchedulingLogisticsTransportationForecastingDecision-Support Systems

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformJavaPythonC++

About the role

Key responsibilities & impact
  • Research, design, and develop optimization models for contact center workforce planning, scheduling, and resource allocation
  • Design and implement the schedule optimization engine using OR-Tools/CP-SAT
  • Own the constraint model end to end by formalizing business rules into a solvable, maintainable model
  • Build the production-grade solver as a service within the WFM platform to meet latency targets for real forecast group volumes
  • Define and validate schedule quality metrics, including coverage attainment, constraint violations, solve time, and solution stability across re-solves
  • Instrument the service so quality can be monitored in production
  • Build and execute tests and validation of optimization algorithms for performance, scalability, and accuracy
  • Collaborate with architects and engineering teams to integrate optimization models into an enterprise-grade optimization engine
  • Partner with workforce-planning and real-time-analyst stakeholders to validate operational usability of generated schedules
  • Communicate and present findings, methodologies, and results to engineering and business stakeholders

Requirements

What you’ll need
  • 6+ years of professional experience designing and implementing optimization solutions in production environments
  • Hands-on production experience with OR-Tools (CP-SAT), or a comparable constraint-programming / mixed-integer-programming solver
  • Strong foundation in linear programming, integer programming, or stochastic optimization
  • Direct experience modeling and solving workforce or resource scheduling problems
  • Experience working with large datasets and solving large scale optimization problems
  • Proficiency in Java, Python, or C++
  • Experience translating complex business requirements into mathematical models and optimization objectives
  • Strong software engineering skills with the ability to build production-ready services and validation frameworks
  • Strong analytical, problem-solving, and communication skills
  • Working knowledge of WFM domain is nice to have
  • Experience building optimization solutions for workforce planning, scheduling, logistics, transportation, or resource allocation is nice to have
  • Knowledge of forecasting and decision-support systems is nice to have
  • Experience with cloud platforms such as AWS, GCP, or Azure is nice to have
  • Practical experience with AI-assisted software development or AI-enabled solutions, including tools such as Claude or GitHub Copilot, is nice to have

Benefits

Comp & perks
  • Comprehensive compensation and benefits package
  • Health insurance
  • Relocation program
  • Remote work flexibility / Work From Anywhere Culture
  • Professional development opportunities
  • Certification programs
  • Mentorship and talent investment programs
  • Internal mobility opportunities
  • Internship opportunities
  • Collaboration on impactful projects for top global clients
  • Inclusive and supportive work environment
  • Regular team-building company social events