Jobs at Miratech

Develop production-grade optimization models and services for workforce planning, forecasting, scheduling, and resource allocation. Design constraint-programming solutions using OR-Tools/CP-SAT, translate business rules into mathematical models, validate schedule quality, and optimize performance, scalability, and latency. Collaborate with product, workforce-management, architecture, and engineering stakeholders to integrate optimization capabilities into an enterprise WFM platform.

Build, configure, and test production contact center solutions on Google CCAIP. Responsibilities include designing DTMF IVR menus, multilingual prompts, call flows, queues, routing, transfers, callbacks, CRM and conversational AI integrations, structured testing, UAT support, defect resolution, technical documentation, and change management. The role works directly with customer stakeholders to implement approved specifications accurately and maintain configuration traceability.

Develop and enhance enterprise AI agents, orchestration workflows, conversational applications, and AI-powered automation using Python, LangGraph, and LangChain. Integrate AI solutions with enterprise systems and APIs, implement planning, memory, tool-calling, observability, and monitoring capabilities, and support production-grade generative AI platforms. Collaborate with engineering teams and stakeholders on architecture, reliability, performance optimization, and scalable AI engineering standards.

Lead enterprise discovery, requirements gathering, and solution assessments for Genesys Cloud CX AI-powered contact center solutions. Design, configure, prototype, and test capabilities including knowledge management, agent assistance, interaction summarization, and virtual agents. Evaluate integrations, platform limitations, implementation effort, licensing, consumption, and operational requirements. Present evidence-based recommendations and risks to business and technical stakeholders.

Designs and improves taxonomies, metadata models, content structures, and search optimization for Genesys Cloud AI knowledge retrieval. Responsibilities include auditing knowledge bases, analyzing search behavior, identifying content gaps, defining tagging and lifecycle standards, evaluating AI retrieval quality, and documenting recommendations. The role requires collaboration with consultants and client content teams to improve findability for agents, self-service users, and AI-powered solutions.

Develop scalable backend services, REST APIs, microservices, and responsive React applications using Go and modern cloud technologies. Integrate enterprise systems, support CI/CD and deployments, write tested maintainable code, optimize performance, troubleshoot production issues, and contribute to cloud-native distributed architectures. Collaborate with product, architecture, security, and engineering teams to deliver reliable end-to-end solutions, including AI-assisted development where appropriate.

Designs the client’s organisational structure and knowledge management operating model. Responsibilities include documenting current-state roles and reporting lines, identifying capability and capacity gaps, developing RACI matrices, defining target operating models, creating role profiles and resourcing plans, and designing transition and change approaches. The consultant will align organisational design with governance and support AI-enabled knowledge management initiatives. This is a part-time engagement lasting approximately two to three months.

Design, develop, test, deploy, and support scalable cloud-native applications using Java, Spring Boot, React, TypeScript, Node.js, PostgreSQL, and microservices. Build REST APIs, integrations, CI/CD pipelines, containerized deployments, observability tooling, and secure distributed systems. Troubleshoot production issues and improve performance, resilience, and maintainability while collaborating with Product, UX, QA, DevOps, Architecture, and clients.

Owns quality engineering and automated testing across unit, component, integration, contract, API, end-to-end, regression, performance, and load testing. Builds frameworks with JUnit, Playwright, and/or Cypress; validates Java microservices, APIs, data flows, and service contracts; integrates tests into CI/CD quality gates; and tests workforce-management forecasting and scheduling logic. Collaborates with engineering, architecture, product, and business teams to analyze defects, establish standards, and improve quality across the SDLC.

Build enterprise-scale workforce management software for forecasting, capacity planning, scheduling, adherence, intraday management, and operational reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, integrations, and PostgreSQL data models. Support cloud-native deployments, CI/CD, testing, performance optimization, production troubleshooting, architecture discussions, and client-facing collaboration.

Lead quality engineering for a cloud-native Workforce Management and Customer Experience platform. Responsibilities include building full-pyramid automated test frameworks, testing Java microservices and APIs, validating contracts and distributed systems, conducting performance tests, integrating automation into CI/CD quality gates, and testing forecasting and scheduling functionality. The role also involves defect analysis, quality standards development, and collaboration with engineering, architecture, product, and business stakeholders.

Leads product marketing for technology services and solutions, developing offering structures, packaging, pricing, positioning, value propositions, and go-to-market strategies. Creates sales enablement materials, trains sales teams, conducts market and competitive intelligence, and partners with Sales, Product, Delivery, Alliances, and executives to drive pipeline and revenue growth.

Build enterprise Workforce Management software for forecasting, staffing, scheduling, adherence, intraday management, and operational reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, and PostgreSQL data models. Integrate WFM with CX, ACD, HR, payroll, identity, and enterprise data platforms. Contribute to cloud-native deployments, CI/CD, testing, performance optimization, architecture, code reviews, and client-facing collaboration.

Design, develop, test, deploy, and support scalable cloud-native applications using Java, Spring Boot, React, TypeScript, Node.js, PostgreSQL, microservices, and REST APIs. Build CI/CD pipelines, containerized deployments, integrations, observability, and secure distributed systems. Collaborate with product, UX, QA, DevOps, architecture, and engineering teams while troubleshooting production issues and improving application performance, resilience, and maintainability.