Technical Scrum Master – Azure Platform & AI
Marlabs (company site, opens in a new tab)5+ yrsBengaluru, PuneRemoteDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead Agile delivery for Azure cloud, platform and AI/ML engineering initiatives, coordinating teams and managing dependencies, risks and technical impediments.
- Manage delivery backlogs and milestones in Azure DevOps, and use velocity, cycle time and sprint predictability metrics to improve planning and delivery.
- Support delivery practices spanning Azure infrastructure, IaC, CI/CD, Azure Machine Learning, Azure OpenAI and MLOps; keep technical constraints and delivery risks clear to stakeholders.
Minimum Requirements
- Work Experience Required: 5+ years as a Scrum Master, Technical Scrum Master or Agile Coach supporting software engineering, cloud, platform, data or AI/ML teams.
- Strong Azure knowledge, including Azure DevOps, resource management, Landing Zones, Entra ID and IaC with Terraform, ARM or Bicep.
- Experience supporting AI/ML or Generative AI delivery, with understanding of the lifecycle from data ingestion and model development through deployment and MLOps monitoring.
- Advanced Azure DevOps or Jira proficiency and understanding of CI/CD, infrastructure automation, cloud deployments and release management.
Ideal Candidate Profile
- Likely to be strongest with hands-on experience supporting Azure Cloud, Data Engineering or DevOps teams, and translating technical dependencies into actionable delivery plans.
- Can coordinate Cloud, DevOps, Data, AI/ML, Security, Product and business stakeholders while adapting Agile practices to engineering and AI/ML delivery workflows.
- CSM, PSM I/II or equivalent Scrum certification is valued; experience improving delivery through metrics, automation and responsible use of Generative AI tools is relevant.