ALM Architect


Cloud Data Vision LLC
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Job Details
Skills
- Acceptance Testing
- Application Lifecycle Management
- Collaboration
- Communication
- Continuous Delivery
- Continuous Integration
- DevOps
- Enterprise Software
- Environment Management
- FOCUS
- Microsoft
- Microsoft Azure
- Production Support
- Public Sector
- Quality Assurance
- Release Management
- Roadmaps
- Software Engineering
- Solution Architecture
- Stakeholder Management
- YAML
Summary
Title: ALM Architect
Location: Remote
Duration: 6 months - C2H role
Experienc: 10+ years
Role Summary
We are seeking an experienced ALM Architect to lead the design and implementation of a scalable Application Lifecycle Management (ALM) framework for enterprise Microsoft Power Platform applications. The role will focus on defining branching strategies, CI/CD standards, environment management, release governance, and shared component controls using Azure DevOps and Power Platform best practices.
The architect will work closely with business stakeholders, development teams, and DevOps engineers to establish a standardized and scalable ALM operating model supporting multiple parallel workstreams and enterprise application delivery.
Key Responsibilities
• Assess current-state ALM processes, repositories, pipelines, and environments
• Define target-state ALM architecture and operating model
• Design branching, integration, and release management strategies
• Establish governance and ownership models for shared components
• Define CI/CD standards and reusable deployment patterns using Azure DevOps
• Guide environment strategy and release flow across Dev, QA, UAT, and Production
• Support implementation of automated deployment pipelines and quality gates
• Collaborate with stakeholders to align ALM processes with delivery needs
• Develop ALM roadmap and recommendations for future scalability
Required Skills & Experience
• 10+ years of experience in software engineering, DevOps, or solution architecture
• Strong experience with Microsoft Power Platform (Power Apps, Dataverse, Power Pages)
• Deep expertise in Azure DevOps (Repos, Pipelines, Branching Strategies, YAML)
• Experience designing ALM frameworks for enterprise or multi-team environments
• Strong understanding of CI/CD, release management, and environment strategy
• Experience with managed/unmanaged Power Platform solutions
• Strong communication and stakeholder management skills
Preferred Qualifications
• Experience in public sector or large enterprise implementations
• Experience with governance frameworks and scalable delivery models
• Familiarity with Power Platform Center of Excellence (CoE) concepts
• Microsoft certifications related to Power Platform, Azure, or DevOps preferred
- Dice Id: 91172896
- Position Id: 9023910
- Posted 3 hours ago
Company Info
Information technology services and consultancy company Cloud Data Vision is growing quickly. The business sets itself apart from rival companies in its sector by providing cutting-edge technologically advanced services. We have vast experience offering IT services to the healthcare sector in addition to our knowledge of the fields of information technology and software systems. The information technology consulting company Cloud Data Vision also provides software development and software design services. The business is privately owned. In addition to the installation and upkeep of hardware, we can offer our professional services in the following fields.
In the areas of immigration, education, healthcare, and financial services, covering a wide range of industries, including banking and insurance, services of administration (local and central), utility, and power provision are provided.
Epis data provides a wide range of information technology (IT) solutions and staff. These services include ones for big data solutions and artificial intelligence. In addition to supporting the creation and use of business intelligence, we also assist in web development, the creation of bespoke software, the creation of desktop and online apps, and the creation of desktop and web applications.
High-performing artificial intelligence and data science teams are augmented by brilliant engineers who can convert concepts into solutions while working remotely.


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