Project Manager – Software Development & Delivery

Overview

seasoned Project Manager

end-to-end software development projects

technical exposure to full-stack technologies

SDLC and Agile methodologies

enterprise-grade applications

Responsibilities

• Project Planning & Execution
• Define project scope, schedule, milestones, and deliverables.
• Prepare project charters, plans, and WBS (Work Breakdown Structure).
• Create and manage Agile sprint plans and ensure iteration goals are met.
• Stakeholder & Team Management
• Act as a bridge between business, development, QA, and infrastructure teams.
• Manage internal and external stakeholder expectations.
• Coordinate with cross-functional teams for on-time and on-budget delivery.
• Technical Oversight & Risk Management
• Provide technical input and oversight on architecture and build activities.
• Track and mitigate technical, resource, and delivery risks proactively.
• Drive resolution of blockers, dependencies, and escalations.
• Progress Tracking & Communication
• Use tools like JIRA or Azure DevOps for project tracking and burndown charts.
• Generate daily/weekly status reports, dashboards, and executive summaries.
• Present status updates and delivery health reports to senior management.
• Quality, Compliance & Governance
• Ensure QA, UAT, and release processes are followed.
• Drive process improvement initiatives across the team.
• Maintain audit trails, change logs, and sign-off documentation.
  

Requirements

Primary Skills:

• Project Management (Agile/Scrum/Waterfall/Hybrid Models)
• Software Delivery Lifecycle (SDLC) Ownership
• Working Knowledge of Full Stack Development
• React.js (Frontend)
• Java (Backend APIs)
• MySQL (Database Queries, Data Models)
• Agile Planning Tools (JIRA, Azure DevOps, Trello, ClickUp)
• CI/CD Implementation Understanding (Jenkins, GitHub Actions, Azure Pipelines)
• Resource Planning, Sprint Management, and Backlog Grooming
• Risk & Issue Management, Change Requests, RCA Documentation
• Project Tracking, Budgeting & Estimation
• Stakeholder Communication & Cross-Functional Team Coordination
• Status Reporting to Senior Leadership and C-level Executives
  

Secondary Skills:

• Exposure to AI/ML Project Lifecycle & Tools (MLFlow, Vertex AI, Azure ML - conceptual level)
• Cloud Platform Understanding (Azure, AWS, or GCP)
• DevOps Awareness (Version Control, Pipelines, Release Cycles)
• Quality Assurance Coordination & Release Sign-off Processes
• Team Coaching, Conflict Management & People Leadership
• Documentation & Process Improvement