Jobs at Miratech

Monitor system and contact-center alerts, triage and manage incidents using severity frameworks, coordinate resolution with IT, automation, software, business teams and vendors, track queue and performance metrics, produce incident reports and audit documentation, liaise with stakeholders, and leverage AI tools to streamline documentation and improve operational efficiency.

Design, build, and maintain cloud-native full-stack web applications using React.js frontends and Spring Boot/Node.js backends. Develop and optimize MongoDB data models, deploy and operate services on AWS/Azure, implement CI/CD and DevOps automation, ensure code quality and application security, and collaborate with cross-functional Agile teams.

Lead pre-sales solution design for enterprise clients: gather complex requirements, produce high-level designs, technical blueprints, SOWs, and cost estimates. Support sales engineering, client workshops, and delivery handoff with focus on cloud-native, secure, scalable architectures, CX enablement, and emerging areas like AI and automation.

Lead pre-sales solution design for enterprise clients: gather requirements, create technical proposals, high-level designs, cost estimates, and statements of work for cloud-native, CX, and data-driven solutions while supporting sales and delivery teams.

Lead pre-sales solution design for enterprise clients: gather requirements, produce technical proposals, cost/effort estimates, high-level designs, and statements of work. Support sales and delivery teams, enable CX and cloud-native architectures, and expand into AI, automation, and data-driven solutions.

Lead pre-sales solution design for enterprise clients: gather requirements, produce technical proposals, high-level designs, cost estimates, statements of work, and support sales and delivery teams across CX and non-CX domains.

Provide L3 production support for NICE CXone contact center environments: monitor platform health, resolve incidents/outages, perform RCAs, support ACD/IVR/routing/agent desktop/digital channels, troubleshoot integrations and APIs, support deployments, and drive automation and operational improvements.

Support stakeholders and technical teams by gathering and documenting requirements, analyzing processes, creating documentation and dashboards, and assisting implementation of process improvements, reporting solutions, and automation. Contribute to project planning, workshops, and presentations to communicate findings and drive data-driven decisions.

Drive pre-sales solution design for enterprise clients: gather requirements, create technical proposals, high-level designs, cost estimates, and statements of work. Support sales, delivery, and marketing with technical expertise across cloud-native architectures, CX, AI, automation, and data solutions while collaborating with stakeholders and delivering under tight deadlines.

Support and maintain AWS-based Amazon Connect contact center environments. Monitor, troubleshoot, and resolve production issues using Splunk, CloudWatch, and observability tools; develop dashboards, enforce logging standards, perform root cause analysis, and collaborate with developers and vendors to improve platform reliability.

Provide high-level administrative support to the EVP Global Delivery and delivery leadership: manage complex calendars and international travel, prepare board and executive materials, run meeting cadences and minutes, track delivery commitments and action items, coordinate cross-functional teams across time zones, and handle sensitive information with strict confidentiality.

Support and maintain AWS-based Amazon Connect contact center environments. Build and enhance monitoring and observability (Splunk, CloudWatch, Zabbix), troubleshoot production incidents, perform root cause analysis, develop dashboards and automation (Python/JavaScript), and collaborate with developers, architects, and vendors to improve platform reliability.

The IT Researcher will identify and engage IT talent, conduct market research, manage candidate profiles, and support the global recruitment team in hiring processes.

Support and maintain AWS-based contact center (Amazon Connect) environments by building monitoring/observability (Splunk, CloudWatch), troubleshooting production incidents, performing root-cause analysis, collaborating with developers and vendors, and improving monitoring frameworks and dashboards.

Support and maintain AWS-based CCaaS contact center environments. Monitor, troubleshoot, and resolve production issues using Splunk and CloudWatch; develop dashboards, enforce logging standards, perform root cause analysis, collaborate with developers and vendors, and automate operational tasks with scripting.

Operate and improve production cloud infrastructure across multi-cloud/hybrid environments. Build observability, tune alerts, respond to incidents, automate infrastructure and deployments, maintain IaC, define SLOs/SLIs, and partner with engineering to increase reliability, scalability, and operational excellence.

Senior Full-Stack Developer responsible for maintaining and enhancing customer CRM integrations and CTI API compatibility. Support existing codebases, fix bugs, implement new features, design scalable microservices and REST APIs, and apply performance, scalability, and DevOps best practices. Collaborate within an Agile team and produce tests and documentation.

Support execution of the Workforce Management product roadmap by translating stakeholder requirements into user stories, prioritizing backlog, coordinating delivery, improving forecasting/scheduling staffing efficiency, monitoring KPIs, assisting testing and release management, creating documentation and training, and partnering with vendors and teams to troubleshoot and automate processes.

Design, build, and maintain Azure Databricks-based data pipelines and Lakehouse architectures using PySpark, Spark SQL, Delta Lake, and Azure Data Factory. Integrate multiple sources with SQL Server/SSIS, optimize large-scale processing for performance and scalability, and support BI teams (Power BI).

Design, build, and maintain cloud data pipelines and Lakehouse architectures using Azure Databricks, PySpark/Spark SQL, Delta Lake and Azure Data Factory. Integrate multiple data sources, support SQL Server-based data warehouses and ETL, optimize performance and scalability of large datasets, ensure data quality, and collaborate with BI teams to support reporting.