Cloud Engineer for Advanced AI Chatbot Solutions
2 tygodni temu
Overview
hubQuest is a leading provider of innovative IT and analytics solutions. Our mission is to deliver cutting-edge technology services that drive business success.
Job Summary
We are seeking a highly experienced Senior Azure DevOps Engineer to join our global team developing advanced AI chatbot solutions. The ideal candidate will have a strong background in cloud infrastructure, DevOps practices, and experience working with AI-driven systems.
Responsibilities
- Set up, manage, and maintain IT infrastructure for AI chatbot systems, with a focus on cloud services.
- Define and establish processes for development, testing, release, updates, and support in DevOps operations.
- Develop and maintain CI/CD pipelines to automate building, testing, and deployment of chatbot applications and updates.
- Set up monitoring and logging systems to track performance and health of the infrastructure, ensuring quick detection and resolution of issues.
- Implement security best practices, including managing access controls, conducting security audits, and securing deployments.
- Collaborate with developers, architects, and other team members to ensure smooth integration of chatbot solutions within the infrastructure.
- Design and implement scalable solutions to handle increasing numbers of users and interactions without performance degradation.
- Manage and respond to incidents, perform root cause analysis, and implement preventive measures.
- Develop and manage backup and recovery solutions to ensure data integrity and availability.
- Document setups, processes, and automation scripts to support collaboration and future reference.
- Continuously evaluate and integrate new tools and technologies to enhance efficiency and reliability.
- Mentor team members and provide guidance on best practices in cloud infrastructure and DevOps.
Requirements
- At least 3 years of experience in a DevOps role.
- Strong expertise in Azure Cloud and Azure Resource Manager.
- Proficiency in Azure DevOps, including pipelines, branching strategies, and deployment workflows.
- Strong knowledge of Git, Bicep, and Bash scripting.
- Proficiency in Python – critical for automation and integration.
- Experience working with cloud-native applications and integrating them with AI-driven systems.
- Understanding of integration points between cloud infrastructure and chatbot solutions.
- Understanding of security best practices and the ability to apply them effectively.
- Ability to quickly diagnose and resolve critical issues.
- Excellent English communication skills (both written and verbal).
- Strong problem-solving and decision-making skills.
- Willingness to train and mentor team members.
- Understanding of Agile methodologies.
Preferred Qualifications
- Experience with AI, LLMs, or chatbot projects.
- Certification in AZ-305 or similar.
- Experience with C# programming.
- Familiarity with NoSQL databases and their integration into cloud-based systems.
Salary Estimate
$120,000 - $180,000 per year, depending on experience.
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