Jobs at Miratech

Develop and enhance enterprise AI agents, orchestration workflows, conversational experiences, and tool-calling capabilities using Python, LangGraph, and LangChain. Integrate agents with backend systems through APIs, support MCP and A2A communication, and contribute to AI observability using Arize. Collaborate with engineers and subject-matter experts to improve platform reliability and deliver AI use cases.

Designs, develops, tests, deploys, and supports enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, SQL, microservices, APIs, and cloud platforms. Responsibilities include building secure and accessible interfaces, optimizing databases, supporting CI/CD, troubleshooting across the technology stack, contributing to solution architecture, collaborating with cross-functional teams, maintaining technical documentation, and improving engineering standards.

Design, develop, test, deploy, and support enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, SQL, microservices, APIs, and cloud platforms. Build secure, scalable interfaces and back-end services, optimize databases, support CI/CD and deployment automation, troubleshoot across the technology stack, and collaborate with product, architecture, QA, DevOps, and business teams. Contribute to technical design, documentation, code quality, security, and continuous engineering improvement.

Design, develop, test, deploy, and support scalable full-stack enterprise applications. Build React interfaces, Java and Spring Boot services, Node.js and Python back ends, REST APIs, microservices, and relational databases. Contribute to cloud deployments, CI/CD automation, testing, security, troubleshooting, technical documentation, and solution design while collaborating with product, architecture, QA, DevOps, and business stakeholders.

Design, develop, test, deploy, and support enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, SQL, microservices, and cloud platforms. Build secure APIs, optimize databases, support CI/CD and cloud-native deployments, troubleshoot across the technology stack, and collaborate with product, architecture, QA, DevOps, and business teams. Contribute to technical design, documentation, code quality, engineering standards, and continuous improvement.

Design, develop, test, deploy, and support enterprise full-stack applications. Build React interfaces, Java and Spring Boot back-end services, APIs, microservices, databases, and cloud deployments. Contribute to CI/CD, automated testing, security, troubleshooting, technical documentation, and solution design while collaborating with product, architecture, QA, DevOps, and business stakeholders.

Designs and leads end-to-end Genesys Cloud CX contact centre solutions for complex, regulated banking environments. Responsibilities include architecture, IVR and routing design, API integrations, CRM and analytics connectivity, security and regulatory compliance, technical governance, implementation oversight, stakeholder engagement, and solution documentation. The role requires hands-on contact centre architecture experience, strong enterprise integration skills, and the ability to guide solutions from initial concept through delivery.

Design, develop, test, deploy, and support scalable full-stack enterprise applications. Build React interfaces, Java and Spring Boot services, APIs, microservices, databases, and cloud deployments. Support CI/CD, automated testing, security, troubleshooting, documentation, and continuous improvement while collaborating with product, architecture, QA, DevOps, and business stakeholders.

Develop scalable cloud-native backend services, REST APIs, microservices, and responsive React applications using Go. Integrate enterprise systems and third-party APIs, support distributed architectures, and contribute to testing, CI/CD, deployments, monitoring, troubleshooting, security, and performance optimization. Collaborate with product, architecture, security, and engineering teams to deliver reliable end-to-end solutions.

Lead design and development of Java and Spring Boot microservices for banking systems while integrating LLMs, RAG, vector databases, and agentic workflows. Build secure, event-driven, cloud-native services using Kafka, containers, Kubernetes, and CI/CD. Contribute to architecture decisions, observability, caching, application security, AI-assisted engineering adoption, and developer mentoring.

Design and implement an end-to-end lakehouse and data warehouse platform integrating Genesys Snowflake and Verint data. Build Databricks and Delta Lake pipelines, Kimball dimensional models, ingestion strategies, quality controls, orchestration, monitoring, and recovery processes. Lead migration from legacy CCARS pipelines through parallel runs and decommissioning while ensuring scalability, performance, auditability, and data integrity. Collaborate with engineering, reporting, QA, and business stakeholders.

Design and implement large-scale optimization models and production services for workforce planning, scheduling, forecasting, and resource allocation. Build OR-Tools/CP-SAT constraint models, define schedule-quality metrics, validate algorithm performance, and integrate optimization capabilities into an enterprise workforce-management platform. Collaborate with product, architecture, engineering, and workforce-planning stakeholders to translate business requirements into mathematical models and operationally usable schedules.

Own quality engineering and test automation for a cloud-native Workforce Management and Customer Experience platform. Build comprehensive unit, component, integration, contract, API, end-to-end, regression, performance, and load test suites for Java microservices. Integrate automation into CI/CD quality gates, validate forecasting and scheduling functionality, analyze defects, and establish reusable testing standards across product teams.

Designs and improves information architecture for Genesys Cloud AI knowledge retrieval. Responsibilities include analyzing knowledge bases and search behavior, designing taxonomies and metadata models, establishing content structure and quality standards, optimizing keyword, semantic, and AI-powered search, and evaluating retrieval capabilities through proofs of concept. The role requires translating analytical findings into practical recommendations for client content teams.

Own the end-to-end data architecture for contact center telephony and workforce-management data. Design Bronze/Silver/Gold lakehouse flows, Kimball dimensional models, ingestion and watermarking strategies, reconciliation, integrity controls, orchestration, and failure recovery. Build and optimize Databricks and Delta Lake pipelines integrating Snowflake, APIs, SFTP, and vendor files. Support parallel-run migration, legacy decommissioning, and communicate architecture decisions to engineering and business stakeholders.

Build enterprise workforce management software for forecasting, staffing, scheduling, adherence, intraday management, and 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, and production troubleshooting. Collaborate with product, operations research, QA, DevOps, and UX stakeholders while applying workforce management and complex business-rule expertise.

Assess AI capabilities and business requirements within a Genesys Cloud environment. Evaluate knowledge management, organizational structures, operating models, governance, ownership, and resource needs. Develop RACI matrices, role profiles, target operating models, and transition recommendations covering change management, training, communication, and organizational risks. Collaborate with senior stakeholders and consultants to align AI-enabled customer service recommendations with governance frameworks and long-term business objectives.

Leads discovery and requirements gathering for enterprise contact center transformations. Designs, configures, prototypes, and validates Genesys Cloud AI solutions, including knowledge management, agent assistance, summarization, and virtual agents. Evaluates integrations, platform limitations, licensing, implementation costs, and operational requirements, then presents evidence-based recommendations to business and technical stakeholders.

Design, develop, test, deploy, and support scalable cloud-native Workforce Management and Customer Experience applications. Build Java and Spring Boot backend services, React and TypeScript frontends, REST APIs, microservices, integrations, and PostgreSQL data models. Contribute to Node.js components, Kubernetes deployments, Jenkins CI/CD pipelines, observability, security, and production troubleshooting. Collaborate with product, UX, QA, DevOps, architecture, and engineering teams while improving application performance, resilience, and maintainability.

Design and build scalable programmable voice and CX communication platforms using FreeSWITCH, Kamailio, SIP, WebRTC, Java, and Spring Boot. Develop call-control services, APIs, routing, session management, media processing, carrier integrations, and contact-center integrations. Lead architecture, technical delivery, non-functional requirements, quality standards, troubleshooting, and client-facing technical discussions for highly available distributed systems.