The role involves supporting, maintaining, and improving infrastructure and production platforms to ensure service stability and resilience. You will manage incidents, perform proactive maintenance, and collaborate with cross-functional teams to deliver end-to-end platform outcomes.
Design, build, and maintain backend and full-stack systems for an enterprise B2B SaaS platform, focusing on third-party integrations and workflow orchestration. You will also manage security features, support self-hosted deployments, and mentor other engineers on the team.
You will own the intake, refinement, and prioritization of the client's ITSM backlog to ensure predictable delivery. Additionally, you will map current-state processes, define velocity metrics, and orchestrate UAT to ensure high-quality releases.
The Anaplan Support Specialist will provide daily support for Anaplan models, ensuring optimal performance and user experience. They will also collaborate with stakeholders to gather requirements and translate them into scalable, well-documented Anaplan solutions.
Design and develop AI-driven solutions using the Microsoft Power Platform and Azure AI ecosystem to meet client requirements. Lead development teams in implementing Copilot and agent-driven workflows while ensuring quality delivery and strategic alignment.
Design and develop AI-driven solutions using Microsoft Copilot and Copilot Studio to enhance business experiences. Integrate these copilots with enterprise systems like Microsoft 365 and Power Platform while ensuring security and governance.
Configure and customize D365 CE applications and build Power Platform solutions. Develop custom components including plugins, JavaScript, and PCF controls to support implementation and maintenance.
The developer is responsible for delivering ServiceNow enhancements, integrations, and AI-enabled solutions aligned with business priorities. They will collaborate with architects and analysts to design scalable solutions and support sprint execution through development and testing.
Design, develop, and maintain scalable data pipelines using Databricks and related technologies. Collaborate with cross-functional teams to ensure data quality, integrity, and governance across platforms.
