Senior Azure DevOps Engineer

Growth Acceleration Partners

. Architect, build, and optimize scalable CI/CD pipelines in Azure DevOps and GitHub Actions for software services and AI models .

Posted 9/23/2026full-timeColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and optimizing CI/CD pipelines in Azure DevOps and GitHub Actions, alongside a strong foundation in Infrastructure as Code using Terraform and Bicep. Proficient in deploying and managing AI/ML workloads within Azure, ensuring high availability and security across cloud infrastructure.

Highest-signal resume keywords

CI/CD Pipeline ArchitectureInfrastructure as CodeMLOps/LLMOps ImplementationContainer Orchestration with KubernetesAzure Cloud Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CI/CD Pipeline ArchitectureInfrastructure as CodeMLOpsLLMOpsContainer OrchestrationAzure DevOpsGitHub ActionsTerraformBicepDocker

Soft Skills

Excellent Communication SkillsProactive Problem-SolvingAnalytical MindsetSelf-DirectionTechnical Ownership

Tools & Technologies

Azure DevOpsGitHub ActionsAzure Kubernetes ServiceAzure MonitorApplication InsightsAzure OpenAI ServiceAzure Machine LearningSonarQubeHelmAzure Key Vault

Industry Keywords

Cloud EngineeringDevOpsSite Reliability EngineeringAI/ML WorkloadsSecurity Compliance

Tech Stack

Tools & technologies

AzureCloudDockerKubernetesTerraformVault

About the role

Key responsibilities & impact

Architect, build, and optimize scalable CI/CD pipelines in Azure DevOps and GitHub Actions for software services and AI models
Provision and maintain secure, compliant Azure cloud infrastructure using Infrastructure as Code
Implement MLOps and LLMOps practices to automate deployment, monitoring, and scaling of AI models and Azure OpenAI workloads
Integrate AI-assisted developer tooling such as GitHub Copilot and Cursor, plus automated security checks into development pipelines
Manage containerized deployments using Docker and Azure Kubernetes Service, ensuring high availability and optimal resource utilization
Establish logging, telemetry, and alerting architectures using Azure Monitor and Application Insights
Collaborate with engineering, data, and security teams to streamline release workflows and drive cost-optimization strategies
Take technical ownership of enterprise CI/CD automation while scaling AI-powered applications and integrating AI productivity tools into software delivery
Collaborate with software engineers, data scientists, and product teams to ensure high availability, security, and velocity across the Azure ecosystem

Requirements

What you’ll need

Bachelor’s Degree in Computer Science, Software Engineering, Systems Engineering, or a related technical field
5+ years of professional experience in DevOps, Site Reliability Engineering, or Cloud Engineering with a primary focus on Microsoft Azure
Proven experience architecting and maintaining enterprise CI/CD pipelines using Azure DevOps and GitHub Actions
Hands-on expertise in Infrastructure as Code using Terraform, Bicep, or ARM templates
Demonstrated experience operationalizing and deploying AI/ML workloads, Azure OpenAI Services, or LLM applications (MLOps/LLMOps)
Solid background in container orchestration using Docker and Azure Kubernetes Service (AKS)
Strong experience in Microsoft Azure, Azure DevOps, GitHub Actions, Terraform, Bicep, ARM templates, Azure Resource Manager, Azure OpenAI Service, Azure Machine Learning, MLOps/LLMOps pipeline automation, model serving, Docker, Kubernetes, Helm, Azure Monitor, Log Analytics, Application Insights, Azure Key Vault, SonarQube, and security scanning tools
Advanced English proficiency (written and verbal)
High level of technical ownership, self-direction, and proactive problem-solving
Excellent communication skills
Strong analytical mindset with commitment to security, reliability, and continuous improvement

Benefits

Comp & perks

Investment in education
Onsite English classes
Training in the latest technologies, including AI, data analytics and machine learning
Equal opportunities and inclusive workplace culture