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Technical Project Manager; Java Full Stack

Job in Dearborn, Wayne County, Michigan, 48120, USA
Listing for: TechDigital Group
Full Time position
Listed on 2025-12-08
Job specializations:
  • IT/Tech
    IT Project Manager, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Technical Project Manager (Java Full Stack)

Must Have's

  • Project Management:
    Agile/Scrum, Jira/Azure Dev Ops, backlog management.
  • Technical:
    Java, Spring Boot, REST APIs, Microservices, Kafka.
  • Cloud: GCP (preferred), AWS/Azure experience is a plus.
  • Dev Ops: CI/CD pipelines, Docker, Kubernetes.
  • Good to Have:
    Python for ML/AI, data analytics.
Job Description 1. Project Management & Delivery
  • Lead end-to-end delivery of complex software projects using Agile methodology.
  • Define project scope, objectives, timelines, and resource plans.
  • Create and manage epics, user stories, and tasks in tools like Jira.
  • Track progress, manage risks, and ensure timely delivery within budget.
2. Agile Leadership
  • Facilitate Scrum ceremonies (daily stand-ups, sprint planning, retrospectives).
  • Collaborate with Product Owners to refine backlog and prioritize features.
  • Drive continuous improvement in team velocity and delivery quality.
3. Requirement Gathering & Analysis
  • Work with stakeholders to define functional and technical requirements.
  • Translate business needs into technical specifications for development teams.
4. Technical Oversight
  • Provide architectural guidance for applications built on Java, Spring Boot, REST APIs, and Microservices.
  • Ensure best practices in coding, design patterns, and system scalability.
  • Oversee cloud deployment (preferably GCP) and integration with messaging tools like Kafka.
5. CI/CD & Dev Ops
  • Ensure robust CI/CD pipelines for automated build, test, and deployment.
  • Collaborate with Dev Ops teams for infrastructure provisioning and monitoring.
6. AI/ML Integration (Good to Have)
  • Work with data science teams to integrate ML models into applications.
  • Leverage Python for data processing or ML workflows when needed.
7. Stakeholder Communication
  • Act as the primary liaison between business, development, and QA teams.
  • Provide regular status updates, dashboards, and reports to leadership.
8. Team Leadership & Mentorship
  • Mentor developers and guide technical decisions.
  • Foster a collaborative and high-performing team culture.
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