Jobs at Miratech

Design, build, and optimize contact center solutions using Amazon Connect. Responsibilities include coordinating release planning, API integration, and providing technical support.

Design and develop conversational flows for chatbots and voicebots using Dialogflow CX. Collaborate with stakeholders to enhance user experiences and optimize bot performance through testing and analytics.

We are looking for a DevOps Engineer responsible for AWS infrastructure management, Infrastructure as Code with Terraform, and CI/CD pipelines implementation. Candidates should have strong AWS and scripting experience.

Design and maintain scalable applications using Python and React. Develop backend services on AWS, support contact center integrations, and implement CI/CD pipelines.

The AWS DevOps Engineer will design, deploy, and manage AWS infrastructure, ensuring reliability and security while optimizing processes using Infrastructure as Code and CI/CD pipelines.

The Network Engineer - WAN will support and maintain WAN infrastructure, troubleshoot complex issues, implement routing protocols, collaborate on changes, and ensure network security and documentation.

The Full Stack Engineer will design, develop, and maintain web applications using Java, Spring Boot, and Angular while integrating AI tools to enhance performance and reliability. Responsibilities include collaborating throughout the SDLC, ensuring code quality, and addressing security vulnerabilities.

Design and develop conversational AI solutions using Google Dialogflow CX and Python, focusing on chatbots and voice bots integration with cloud platforms.

Develop and enhance intelligent chatbots and voice bots using Google Cloud Platform and Dialogflow CX, focusing on performance and scalability.

The role involves designing and managing integrations for Amazon Connect, developing RESTful APIs, and collaborating with teams for backend UI functionality and serverless workflows.

Design, build, and maintain highly available, scalable Java microservices (Spring Boot) on cloud platforms (GCP preferred). Integrate AI/LLM features, implement event-driven architectures (Kafka, Pub/Sub), use Docker/Kubernetes, and collaborate with product, QA, and DevOps to improve reliability and performance.