Miratech

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.

Senior Python Developer

Designer

• Design and develop conversational flows for chatbots and voicebots using Google Dialogflow CX/ES
• Create intents, entities, utterances, contexts, and dialogue management strategies
• Collaborate with business stakeholders, developers, and UX teams to build intuitive conversational experiences
• Optimize bot performance through continuous training, testing, and analytics review
• Design fallback handling, error recovery flows, and escalation journeys to live agents
• Integrate conversational platforms with APIs, webhooks, CRM systems, and contact center solutions
• Conduct user testing and improve conversation flows based on customer interactions
• Maintain conversational design documentation and best practices
• Support multilingual and omnichannel conversational experiences where required

Dialogflow CX Design Specialist

Junior Engineer – Google DialogFlow

Full-stack Engineer

• Design and develop scalable microservices and RESTful APIs using Java, Spring Boot
• Build backend systems to support dynamic call routing, queue management, and configuration-driven workflows
• Develop services enabling outbound campaign management and dialer customization
• Collaborate with UI teams to power self-service interfaces used by business users
• Integrate applications with AWS services (EC2, S3, Lambda, API Gateway, DynamoDB)
• Abstract and manage business logic outside of Amazon Connect to enable flexible configurations
• Ensure systems support real-time updates without requiring deployments
• Optimize performance, scalability, and reliability of distributed systems
• Participate in code reviews, debugging, and production support

Full Stack Developer, Outbound/Selfservice

• Implement software components according to the design specifications
• Perform system integration and testing, problem troubleshooting, and resolution
• Perform unit testing of software components
• Participate in estimating project efforts and delivery timelines
• Proactively collaborate with teammates and communicate with the Project Stakeholders to ensure that the Project efforts proceed efficiently and with predictability
• Provide technical input into product roadmaps
• Participate in triage activities (incident analysis and prioritization)
• Support and optimize CI/CD processes

Senior Java Developer

Frontend Engineer

• Lead frontend architecture using React 18, TypeScript 5.x, and Vite Module Federation
• Architect and maintain the platform shell MFE (navigation, session, notifications, RBAC enforcement)
• Establish and govern the shared design system/component library across all MFEs and teams
• Build, mentor, and manage a frontend engineering team
• Drive requirements refinement, UI technical decisions, and estimations
• Implement RBAC-driven UI patterns (conditional rendering, route guards, feature-level access control)
• Decompose features into tasks and plan deliveries
• Ensure high-quality, performant, and maintainable frontend code
• Produce architectural decision records for cross-team MFE integration patterns
• Collaborate closely with backend, product, design, and DevOps teams
• Support frontend deployment via CI/CD on AWS (S3, CloudFront, EKS)

Tech Lead – Frontend, TypeScript, React

Call Center Representative

• Lead a comprehensive operational assessment across people, processes, performance management, and customer experience, independent of the current platform configuration.
• Define the future-state contact center operating model, including workforce deployment, routing strategy, customer engagement, and performance management across 12-, 24-, and 36-month horizons.
• Develop a prioritized optimization roadmap with clear business cases, expected outcomes, implementation priorities, and ROI metrics.
• Identify operational and customer experience improvement opportunities leveraging Genesys Cloud capabilities, including: AI and self-service solutions
• Intelligent routing
• Workforce engagement management
• Analytics and reporting
• Omnichannel customer engagement
• Translate business opportunities into clear operational and business requirements for technical delivery teams.
• Establish KPI frameworks, governance models, and performance management processes, including ownership, reporting cadence, and operational review structures.
• Partner with operations leadership, supervisors, and frontline teams to redesign workflows, remove operational friction, and embed continuous improvement practices.
• Lead change management and user adoption initiatives, including communication planning, training strategy, leadership coaching, and operational enablement.
• Coach contact center leadership teams on best practices in workforce management, quality assurance, coaching, operational governance, and customer experience optimization.
• Serve as a trusted advisor to executive stakeholders by providing regular updates on progress, risks, priorities, and business outcomes.

Contact Center Operations & Optimization Consultant

• Lead a comprehensive operational assessment across people, processes, performance management, and customer experience, independent of the current platform configuration.
• Define the future-state contact center operating model, including workforce deployment, routing strategy, customer engagement, and performance management across 12-, 24-, and 36-month horizons.
• Develop a prioritized optimization roadmap with clear business cases, expected outcomes, implementation priorities, and ROI metrics.
• Identify operational and customer experience improvement opportunities leveraging Genesys Cloud capabilities, including: AI and self-service solutions Intelligent routing Workforce engagement management Analytics and reporting Omnichannel customer engagement.
• Translate business opportunities into clear operational and business requirements for technical delivery teams.
• Establish KPI frameworks, governance models, and performance management processes, including ownership, reporting cadence, and operational review structures.
• Partner with operations leadership, supervisors, and frontline teams to redesign workflows, remove operational friction, and embed continuous improvement practices.
• Lead change management and user adoption initiatives, including communication planning, training strategy, leadership coaching, and operational enablement.
• Coach contact center leadership teams on best practices in workforce management, quality assurance, coaching, operational governance, and customer experience optimization.
• Serve as a trusted advisor to executive stakeholders by providing regular updates on progress, risks, priorities, and business outcomes.