Grhombus Technologies - Delivery Manager - Full Stack Applications

Job Summary

Responsibilities

• Project Delivery : Own the delivery lifecycle of full stack projects from requirement analysis to deployment and support.
• Team Management : Lead and manage cross-functional teams including developers, QA, DevOps, and UI/UX designers across onshore/offshore locations.
• Client Management : Serve as the single point of contact for client communication, stakeholder engagement, and expectation management.
• Planning & Execution : Define project scope, timelines, resource plans, and KPIs. Drive sprint planning, retrospectives, and ensure deliverables align with project goals.
• Quality Assurance : Enforce coding standards, CI/CD practices, and testing protocols to ensure production-ready releases.
• Risk & Issue Management : Identify delivery risks, create mitigation strategies, and proactively resolve project roadblocks.
• Budget & Resource Management : Track effort estimates, cost forecasts, and resource utilization to meet project financial goals.
• Agile Leadership : Promote Agile/Scrum methodologies and ensure adherence to best practices in iterative development Skills & Qualifications :
• Bachelors/Masters degree in Computer Science, IT, or related field.
• 10+ years of experience in IT, with at least 5 years in a delivery or project management role.
• Proven experience in delivering multiple full stack web and mobile projects using modern tech stacks (React, Angular, Node.js, Java, .NET, Python, etc.
• Strong understanding of frontend, backend, APIs, DevOps, microservices, and database technologies.
• Hands-on experience with tools such as JIRA, Confluence, Git, Jenkins, Docker, Kubernetes, etc.
• Exceptional client-facing and stakeholder management skills.
• Strong leadership, communication, and team management capabilities.
• PMP, PMI-ACP, CSM, or SAFe certifications are a Skills :
• Exposure to cloud platforms (AWS, Azure, GCP).
• Experience in managing hybrid (onshore-offshore) delivery models.
• Understanding of security, compliance, and performance optimization in full stack applications.
• Familiarity with AI/ML integration in full stack environments is a plus