Operations Research Engineer

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business.

We are a values-drivenorganizationand our culture of Relentless Performance has enabled over 99% of Miratech'sengagements to succeed by meeting or exceeding our scope, schedule, and/or budgetobjectivessince ourinceptionin 1989.
Miratech has coverage across 5 continents andoperatesin over 25 countries around the world. Miratech retains nearly 1000full-time professionals, and our annual growth rate exceeds 25%.

Job Description
We are looking for an  Operations Research Engineer  to join the Workforce Management (WFM) product stream and help build the optimization capabilities behind workforce planning, forecasting, scheduling, and resource allocation for a large-scale contact center environment.
The role focuses on applying operations research, mathematical optimization, and algorithm design to solve complex workforce planning problems at enterprise scale. You will work closely with Product, Workforce Management experts, Architects, and Engineering teams to transform business requirements into optimization models and production-grade optimization services that support scheduling, staffing, coverage management, and operational efficiency.
This role is ideal for an engineer with strong expertise in optimization, constraint programming, mathematics, and software engineering who enjoys solving real-world planning and resource allocation challenges.

Responsibilities

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: formalize business rule into a solvable, maintainable model.
Build the production-grade solver as a service within the WFM platform that meets latency targets for real forecast group volumes.

Define and validate schedule quality metrics (coverage attainment, constraint violations, solve time, solution stability across re-solves) and instrument the service so quality can be monitored in production.

Build and execute tests and validation of optimization algorithms to deliver performance, scalability, and accuracy.

Collaborate with architects and engineering teams to integrate optimization models into an enterprise-grade optimization engine of the workforce management platform.

Partner with workforce-planning and real-time-analyst stakeholders to validate that generated schedules are operationally usable.

Effectively communicate and present findings, methodologies, and results to engineering and business stakeholders.

Qualifications

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.

Nice to Have

Working knowledge of WFM domain.

Experience building optimization solutions for workforce planning, scheduling, logistics, transportation, or resource allocation.

Knowledge of forecasting and decision-support systems.

Experience with cloud platforms such as AWS, GCP, or Azure.

Practical experience with AI-assisted software development or AI-enabled solutions, including tools such as Claude or Git Hub Copilot.

Additional Information
We offer:

Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.

Competitive

Pay and Benefits:

enjoy a comprehensive compensation and benefits…