Technical Scrum Master – Azure Platform & AI

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Technical Scrum Master – Azure Platform & AI to join our innovative and dynamic team.

Technical Scrum Master – Azure Platform & AI | About You

As a Technical Scrum Master – Azure Platform & AI, you will lead Agile delivery for engineering teams building and deploying modern cloud, platform, and AI/ML solutions. Going beyond traditional Scrum facilitation, you will bring strong technical understanding of the Microsoft Azure ecosystem, Azure DevOps, cloud infrastructure, CI/CD, and AI/ML delivery lifecycles. You will partner with Product Owners, Cloud, DevOps, Data, and AI/ML teams to remove technical impediments, manage dependencies, improve delivery predictability, and enable high-performing engineering teams.

Technical Scrum Master – Azure Platform & AI | Day-to-Day

• Lead Agile ceremonies including Sprint Planning, Daily Standups, Backlog Refinement, Sprint Reviews, and Retrospectives, adapting delivery practices to support cloud engineering and AI/ML development workflows.
• Partner with Product Owners and engineering teams to structure and manage Epics, Features, PBIs, user stories, and tasks in Azure DevOps, ensuring priorities, dependencies, and delivery milestones are clearly defined.
• Proactively identify and remove technical and delivery impediments related to Azure infrastructure, environment provisioning, compute capacity, data access, identity controls, integrations, and upstream dependencies.
• Support delivery of Azure platform initiatives involving Azure Landing Zones, subscriptions, resource groups, Infrastructure as Code (IaC), Azure DevOps pipelines, Azure Machine Learning, Azure OpenAI, and related AI environments.
• Track and analyze Agile delivery metrics including velocity, burnup/burndown, cycle time, capacity, and sprint predictability, using insights to improve planning and team performance.
• Facilitate alignment across Cloud, DevOps, AI/ML, Data, Security, Product, and business teams, translating technical constraints and AI/ML delivery uncertainties into clear risks, dependencies, and actionable stakeholder updates.
• Drive continuous improvement across Agile and engineering delivery practices, including CI/CD, automation, DevOps processes, and responsible adoption of Generative AI tools to improve team productivity and delivery effectiveness.

Technical Scrum Master – Azure Platform & AI | Skills & Experience

• 5+ years of experience as a Scrum Master, Technical Scrum Master, or Agile Coach supporting software engineering, cloud, platform, data, or AI/ML teams.
• Strong knowledge of the Microsoft Azure ecosystem, including Azure DevOps Boards/Pipelines, Azure resource management, Landing Zones, Entra ID, and Infrastructure as Code using Terraform, ARM, or Bicep.
• Experience supporting AI/ML or Generative AI delivery, with an understanding of the lifecycle from data ingestion and model development through Azure Machine Learning, Azure OpenAI, deployment, and MLOps monitoring.
• Advanced proficiency with Azure DevOps or Jira for backlog management, sprint planning, dependency tracking, dashboards, capacity management, and Agile delivery reporting.
• Strong understanding of DevOps and modern software delivery practices, including CI/CD pipelines, infrastructure automation, cloud deployments, release management, and cross-functional engineering delivery.
• Excellent facilitation, stakeholder management, conflict-resolution, and servant-leadership skills; CSM, PSM I/II, or equivalent Scrum certification is highly valued, with prior experience in Azure Cloud, Data Engineering, or DevOps considered an advantage.