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Deployment management Jobs in Indore

2+ Deployment management Jobs in Indore | Deployment management Job openings in Indore

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Cibirix

at Cibirix

2 recruiters
Suhani Gokhe
Posted by Suhani Gokhe
Vijay Nagar , Indore
8 - 15 yrs
₹10L - ₹35L / yr
Agile/Scrum
Project coordination
Project planning
Project Management
Deployment management
+3 more

Job Summary 

Project Manager is responsible for planning, executing, monitoring, and successfully delivering technology projects within agreed scope, timeline, budget, and quality standards. The role requires close coordination with business stakeholders, technical teams and senior management to ensure projects achieve their intended business outcomes. 


Key Responsibilities 

  • Define project scope, objectives, deliverables, timelines, and success criteria.  
  • Develop and maintain detailed project plans, schedules, budgets, and resource requirements.  
  • Lead cross-functional teams including developers, infrastructure, QA, and business analysts.  
  • Coordinate release planning, sprint goals, release timelines, dependencies, and deployment activities. 
  • Manage project scope, risks, issues, dependencies, and change requests.  
  • Track project progress and provide regular status reports to stakeholders and management.  
  • Identify potential risks and implement appropriate mitigation and contingency plans.  
  • Coordinate requirements gathering and ensure alignment between business and technical teams.  
  • Facilitate project meetings, reviews and steering committee meetings.  
  • Ensure projects follow organizational IT governance, security, compliance, and quality standards.  
  • Coordinate testing, deployment, implementation, and transition to operational teams.  
  • Manage stakeholder expectations and resolve conflicts or escalated issues.  
  • Manage testing, deployment, documentation, and project closure.  
  • Conduct project closure activities and evaluate project performance and outcomes.  


Required Qualifications 

  • Minimum 8 years of experience in IT project management or a related technology role.  
  • Proven experience managing end-to-end IT projects.  
  • Strong understanding of project management methodologies such as Agile, Scrum, Waterfall, or hybrid methodologies.  
  • Experience with project management tools such as Jira, Azure DevOps, Microsoft Project, Smartsheet, or similar platforms.  
  • Strong knowledge of software development lifecycle (SDLC), IT infrastructure, cloud technologies, or enterprise applications, depending on the project portfolio.  
  • Strong communication, leadership, organizational, and problem-solving skills.  


Key Skills 

  • Project planning and execution  
  • Stakeholder management  
  • Risk and issue management  
  • Budget and resource management  
  • Agile/Scrum methodology  
  • Change management  
  • Team leadership  
  • Negotiation and conflict resolution  
  • Reporting and documentation  
  • Strategic thinking and problem solving 


Require Experience : Minimum 8 years

Location : Indore -Onsite

Interview mode : Virtual

 

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MoreYeahs

at MoreYeahs

3 recruiters
Lovely Sharma
Posted by Lovely Sharma
Remote, Indore
2 - 6 yrs
₹12L - ₹16L / yr
skill iconMachine Learning (ML)
DevOps
skill iconKubernetes
Terraform
skill iconPython
+9 more
Machine Learning
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery
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