Miratech

QA Automation Engineer

• Design, build, and maintain Grafana dashboards and telemetry visualizations to monitor system performance, latency, error rates, saturation, and overall platform health.
• Configure and maintain observability solutions, including Prometheus monitoring and alerting, ensuring critical service metrics and SRE Golden Signals are effectively tracked.
• Develop, test, and maintain modular Ansible playbooks to automate infrastructure provisioning, application configuration, patching, and operational workflows.
• Support enterprise automation through AWX by managing centralized execution, automation templates, RBAC, and reusable infrastructure workflows.
• Maintain Infrastructure as Code (IaC) repositories using Git, following best practices for version control, peer code reviews, and CI/CD-driven automation.
• Actively participate in Agile ceremonies, including Sprint Planning, Daily Stand-ups, Backlog Refinement, and Retrospectives, contributing to sprint execution and continuous improvement.
• Collaborate with Product Owners, Scrum Masters, and engineering teams to translate business requirements into actionable user stories while driving automation, observability, and platform reliability initiatives.

Infrastructure Automation & Observability Engineer

Cloud Engineer

• Lead the end-to-end architecture and design of Genesys Cloud CX solutions
• Translate business requirements into scalable, secure, and high-performing technical designs
• Define and drive the technical roadmap for contact center and CX platforms
• Collaborate with enterprise architects and other technology teams to ensure seamless integration across systems
• Provide hands-on technical leadership across solution design, development, testing, and deployment phases
• Guide and mentor engineering teams, ensuring best practices and architectural standards are followed
• Oversee integrations with third-party systems such as CRM, WFM, and analytics platforms
• Ensure solutions meet security, compliance, and performance requirements
• Stay current with Genesys Cloud capabilities and CX industry trends, driving continuous innovation

Genesys Cloud Architect

Vice President

• Define and execute short- and long-term strategic, commercial, and financial objectives for Managed Services, ensuring alignment with Miratech’s overall growth strategy.
• Build, lead, and scale Managed Services as a dedicated business area, driving sustainable revenue growth, profitability, operational excellence, and customer value.
• Own business performance, including recurring revenue growth, margin improvement, forecasting, financial planning, operational efficiency, and investment governance.
• Develop and implement business plans, operating models, commercial frameworks, and investment priorities in partnership with Sales, Delivery, Finance, and other functions.
• Scale Managed Services by building repeatable managed services models, standardized processes, automation capabilities, and structured client management practices.
• Define and manage the end-to-end customer lifecycle, including commercial conversion, onboarding, service delivery, renewals, expansion, and customer success.
• Perform other duties as may be required consistent with the purpose of this role.

Executive Vice President, Managed Services

Data Engineer

• Design, develop, and maintain data pipelines using Azure Databricks
• Build and optimize data transformations using PySpark and SQL in Databricks
• Implement and maintain Lakehouse architectures using Delta Lake
• Develop ETL/ELT pipelines orchestrated through Azure Data Factory
• Integrate data from multiple sources into the data platform and analytical layers
• Design and maintain data models and data warehouse structures for analytics
• Ensure data quality, scalability, and performance of large-scale data processing pipelines
• Collaborate with BI teams to support Power BI and reporting platforms
• Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required
• Contribute to the design of modern cloud-based data architectures

Middle Data Engineer, Azure Databricks

• Design, develop, and maintain data pipelines using Azure Databricks
• Build and optimize data transformations using PySpark and SQL in Databricks
• Implement and maintain Lakehouse architectures using Delta Lake
• Develop ETL/ELT pipelines orchestrated through Azure Data Factory
• Integrate data from multiple sources into the data platform and analytical layers
• Design and maintain data models and data warehouse structures for analytics
• Ensure data quality, scalability, and performance of large-scale data processing pipelines
• Collaborate with BI teams to support Power BI and reporting platforms
• Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required

Middle Data Engineer – Azure Databricks

Data Engineer, Azure Databricks

Backend Engineer

• Design, develop, and maintain Python-based backend microservices
• Build and integrate REST APIs (authentication, RBAC, third-party integrations)
• Contribute to real-time voice pipeline integrations (SIP / WebRTC / LiveKit)
• Develop integrations with external systems (e.g., Zoho CRM, Google / Microsoft Calendar)
• Deploy and operate services on AWS (ECS, CloudWatch, Secrets Manager, S3)
• Maintain CI/CD pipelines using Bitbucket Pipelines
• Containerize services using Docker / Docker Compose
• Collaborate with AI, frontend, and DevOps teams; participate in code reviews and release processes

Senior Python Engineer

Recruitment

• Talent sourcing through LinkedIn direct outreach.
• Provide a strong focus on sourcing passive and active candidates through networking, complex internet searches, research, name generation, and calls.
• Perform search functions, including database mining, job board searches, and functional web searches.
• Research and target new talent sourcing channels, constantly working to uncover new hidden talent.
• Be an ambassador to the company, share our values and increase brand awareness in the market and ensure all candidates receive a position experience.
• Maintain and track your sourced talent within our ATS (SmartRecruiters).
• Track critical recruitment data, and produce regular (and ad-hoc) reports on recruiting activities.

Recruitment Researcher Intern

• Design, develop, and maintain IVR applications based on business and technical requirements
• Integrate IVR solutions with key internal services
• Monitor IVR systems and implement operational improvements to enhance customer experience
• Troubleshoot and resolve issues within the voice contact center and IVR environments
• Collaborate with project managers to ensure the timely and high-quality delivery of solutions
• Work independently while supporting a regional business unit aligned with global objectives
• Participate in forward-looking initiatives to improve call steering and IVR architecture
• Communicate technical concepts clearly to both technical and non-technical stakeholders

Java IVR Application Developer

Infrastructure Engineer

• Design and implement AWS infrastructure for Amazon Connect environments
• Deploy and manage Amazon Connect environments across Dev, Staging, and Production
• Utilize AWS services such as Lambda, S3, EventBridge, Data Bridges, and related services to support deployments
• Develop and maintain Infrastructure as Code (IaC) modules using Terraform Enterprise
• Ensure Terraform code is maintainable, reusable, and aligned with best practices
• Build and manage CI/CD pipelines for automated infrastructure deployment and updates
• Integrate Terraform Enterprise with CI/CD pipelines for seamless deployments
• Monitor infrastructure performance and troubleshoot deployment-related issues
• Collaborate with cross-functional teams to ensure secure, scalable, and reliable cloud solutions

AWS Infrastructure Engineer

DevOps Engineer

• Design and implement end-to-end observability solutions across applications, infrastructure, and cloud environments.
• Develop dashboards, alerts, and telemetry frameworks to provide real-time visibility into system health and performance.
• Build automation solutions to eliminate repetitive operational tasks and improve efficiency.
• Enable runbook automation, self-healing capabilities, and automated incident triage workflows.
• Define and implement SLIs, SLOs, and alerting strategies to improve service reliability.
• Drive improvements in MTTD and MTTR through actionable alerts and telemetry-driven insights.
• Implement proactive monitoring, anomaly detection, and predictive alerting to identify issues before customer impact.
• Leverage AIOps capabilities for alert correlation and intelligent incident response.
• Integrate observability platforms with CI/CD pipelines, cloud services, and ITSM tools such as ServiceNow.
• Collaborate with engineering, product, and operations teams to establish observability standards and operational readiness practices.

Site Reliability Engineer, Splunk

Engineer

• Design, develop, and deploy chatbots and voice bots utilizing leading Conversational AI platforms such as Microsoft Bot Framework, Google CCAI, Dialogflow CX
• Craft clean, efficient, and maintainable code adhering to industry best practices and standards.
• Develop custom components and tools to optimize the functionality and performance of our chatbot ecosystem.
• Collaborate closely with developers, designers, and other stakeholders to meet project requirements and user expectations.
• Leverage natural language processing (NLP), LLM and machine learning (ML) techniques, including TTS, STT, and SSML, to enable our chatbots to comprehend and respond intelligently to user inputs.
• Integrate chatbot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions.
• Investigate and resolve complex technical issues by analysing logs and debugging code for continuous improvement.
• Stay ahead of the curve by keeping up-to-date with the latest trends and advancements in chatbot development.

Junior DialogFlow Engineer

DevOps Engineer, Splunk

• Design, develop, and maintain Python-based solutions, services, and APIs.
• Build scalable, reliable, and secure integration solutions in line with best practices.
• Participate in system architecture and design discussions to provide technical insights.
• Ensure high code quality through thorough testing, code reviews, and adherence to best practices.
• Troubleshoot, debug, and optimize complex integration workflows.
• Collaborate closely with the Project Manager to fully understand business requirements and expectations.

Infrastructure Automation & Observability Engineer

Genesys Cloud Architect

Genesys Cloud Architect

Executive Vice President, Managed Services

Middle Data Engineer, Azure Databricks

Middle Data Engineer – Azure Databricks

Data Engineer, Azure Databricks

Senior Python Engineer

Recruitment Researcher Intern

Java IVR Application Developer

AWS Infrastructure Engineer

Site Reliability Engineer, Splunk

Junior DialogFlow Engineer

DevOps Engineer, Splunk

Senior Python Developer