DevOps Engineer

As a DevOps Engineer passionate about AI technologies and cloud infrastructure, you will be responsible for designing, implementing, and maintaining scalable, secure, and reliable DevOps solutions.

Your key responsibilities will include:

Designing and managing Azure cloud infrastructure with a focus on security, scalability, and high availability.
Developing and implementing CI/CD pipelines for automated software deployment, infrastructure provisioning, and automated testing suite development.
Optimizing and maintaining Azure AI services, including AI Search, Cognitive Services, OpenAI, and Data Lake.
Ensuring seamless integration with Dynamics 365, React, third-party APIs, and automated deployment of Dataverse changes.
Implementing and enforcing Azure security best practices, including authentication, tokens, and multi-tenant architecture.
Monitoring, troubleshooting, and enhancing system performance using logging, observability, and automation tools.

Qualification

Strong experience in DevOps with hands-on expertise in Azure Cloud (Azure DevOps, Azure, Azure Functions, etc.).
Proficiency in CI/CD tools like GitHub Actions, Azure DevOps, or GitLab CI/CD, including automation of testing suites and Dataverse deployments.
Experience with containerization and orchestration tools such as Docker.
Knowledge of scripting languages (PowerShell, Bash, Python, or Node.js) for automation, testing, and deployment.
Familiarity with Infrastructure as Code (IaC) such as BICEP, with experience in managing Dataverse environments.
Experience with monitoring and logging tools such as Azure Monitor and Azure Application Insights to support automated testing and deployments.
Understanding of security best practices in a multi-tenant cloud environment, including secure deployment of Dataverse changes.
Good problem-solving skills and the ability to troubleshoot complex cloud-based AI solutions, CI/CD pipelines, and automated testing frameworks.
Strong written and verbal communication skills to collaborate with global teams and document automated testing strategies.
Bachelor’s or master’s degree in Computer Science, IT, or a related field.
Relevant Azure certifications (Azure DevOps Engineer, Azure Administrator, or similar) are highly desirable.