WHAT WE DO

Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success.

GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success.

Summary

We are looking for a Senior AI Azure DevOps Engineer to design, build, and optimize cloud infrastructure, automated delivery pipelines, and MLOps/LLMOps workflows on Microsoft Azure. In this role, you will take technical ownership of enterprise CI/CD automation while scaling AI-powered applications and integrating AI productivity tools into the software delivery lifecycle. Operating with a high level of autonomy, you will collaborate closely with software engineers, data scientists, and product teams to ensure high availability, security, and velocity across our Azure ecosystem.

Education

• Bachelor’s Degree in Computer Science, Software Engineering, Systems Engineering, or a related technical field.

Professional Experience

• 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 (IaC) 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)

Key Responsibilities

• 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 (Terraform/Bicep)

• Implement MLOps and LLMOps practices to automate the deployment, monitoring, and scaling of AI models and Azure OpenAI workloads

• Integrate AI-assisted developer tooling (e.g., GitHub Copilot, Cursor) and automated security checks (DevSecOps) into development pipelines

• Manage containerized deployments using Docker and Azure Kubernetes Service (AKS), ensuring high availability and optimal resource utilization

• Establish robust 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

Required Technical Skills

Strong experience in several of the following areas:

• Cloud & DevOps: Microsoft Azure (AKS, Azure Functions, Azure App Services), Azure DevOps, GitHub Actions

• Infrastructure as Code (IaC): Terraform, Bicep, ARM templates, Azure Resource Manager

• AI & MLOps Integration: Azure OpenAI Service, Azure Machine Learning, MLOps/LLMOps pipeline automation, model serving

• Containers & Orchestration: Docker, Kubernetes (AKS), Helm

• DevSecOps & Observability: Azure Monitor, Log Analytics, Application Insights, Azure Key Vault, SonarQube, security scanning tools

Nice to Have

• Experience managing infrastructure for vector databases (Azure AI Search, Pinecone, Qdrant) or RAG pipeline deployment

• Official Microsoft Certifications (e.g., Azure DevOps Engineer Expert AZ-400, Azure Solutions Architect AZ-305, or Azure AI Engineer AI-102)

• Exposure to agentic AI frameworks (LangChain, AutoGen) or AI-driven infrastructure automation

Soft Skills

• Advanced English proficiency (written and verbal)

• High level of technical ownership, self-direction, and proactive problem-solving

• Excellent communication skills to bridge technical discussions between software, data, and business teams

• Strong analytical mindset with a commitment to security, reliability, and continuous improvement
  

At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.