Automation Engineering

Drive Dataverse excellence by overseeing the integrity, performance, and architecture of enterprise Dataverse environments.

Lead the technical design, development, and deployment of complex automation solutions and custom software plugins.

Define and maintain data schemas, RESTful API integrations, CLI tooling, and Application Lifecycle Management (ALM) workflows.

Establish IT architecture standards, code quality frameworks, and governance across Power Platform ecosystems.

Mentor and lead engineering teams, facilitating sprint planning, architectural reviews, and cross-functional delivery.

Optimize system performance, resolve complex platform bottlenecks, and drive digital transformation initiatives.

Bachelor’s / Master’s Degree in Computer Science, Information Technology, or related engineering fields.

3-5 Yrs of experience in enterprise software development, IT architecture, and automation leadership.

Strong technical expertise in Microsoft Dataverse, Power Platform, Custom Plugins, REST APIs, CLI, and Schema design.

Proven track record in managing large-scale ALM pipelines, DevOps practices, and engineering teams.