Azure Devops + Gen AI

Job Summary

We are seeking a junior Azure DevOps Engineer with a strong interest in generative AI to support the development and deployment of cloud‑native applications. The role focuses on building scalable CI/CD pipelines, integrating AI models into production workflows, and ensuring continuous delivery across our Azure environment.

Key Responsibilities

• Design, implement, and maintain Azure DevOps pipelines for continuous integration and continuous delivery of software releases.
• Collaborate with data science and product teams to embed generative AI models (e.g., GPT‑based services) into application workflows.
• Monitor pipeline performance, troubleshoot failures, and optimize build times and deployment reliability.
• Write automation scripts in PowerShell and Python to support infrastructure provisioning, testing, and deployment tasks.
• Participate in code reviews, maintain documentation, and contribute to best‑practice guidelines for DevOps and AI integration.

Required Qualifications

• 0–2 years of experience in software development, DevOps, or related technical roles.
• Hands‑on experience with Azure DevOps services (pipelines, repos, artifacts).
• Basic understanding of generative AI concepts and experience with at least one LLM API (OpenAI, Azure OpenAI).
• Strong analytical and problem‑solving skills with a self‑motivated learning mindset.

Preferred Qualifications

• Experience with Azure Machine Learning or Azure Cognitive Services for model deployment.
• Knowledge of container orchestration using Docker and Kubernetes on Azure.
• Familiarity with Infrastructure as Code tools such as Terraform or ARM templates.

Required Skills

• Azure DevOps (pipelines, repos, artifacts, release management)
• Python programming for automation and data manipulation
• PowerShell scripting for Windows‑based automation
• Git version control and branching strategies
• CI/CD best practices and deployment automation
• Basic knowledge of large language model APIs and integration patterns
• Docker containerization and basic Kubernetes concepts
• Azure CLI and Azure Resource Manager (ARM) usage

Education

Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related technical field.

Benefits

• Competitive base salary with annual performance bonuses
• Comprehensive health, dental, and vision insurance plans
• Flexible work hours and remote‑work options
• Annual learning stipend and access to cutting‑edge AI research resources