IT Cloud Architect; Hybrid
Listed on 2026-02-21
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IT/Tech
Data Science Manager, Data Analyst, Systems Engineer, Cloud Computing
Overview
Supervises, guides, and/or instructs the work assignments of subordinate staff. Assists in planning, scheduling of team resources, status reporting and completion of required documentation for team assignment and projects. Analyzes and develops work or project plans for team assignments. Analyzes and implements solutions to problems associated with assignments. Responsible for project leadership: coordinates integrated systems integrity, provides coordination, communication and project structure between users of Information Services and third party software vendors or programmers, provides systems and installation support and user training.
Develops and controls project schedules, and assigns responsibilities where appropriate. Participates in all aspects of software development, systems design and analysis and project planning and management.
Additional Requirements :
Software Development:
Understanding software development principles and methodologies is essential. Should be demonstrably able to work across multiple platforms.
Programming
Languages:
Proficiency in various programming languages is required for informed decision-making.
Experience with cloud providers like AWS, Azure, or Google Cloud is necessary.
Databases:
Knowledge of database design and data modeling is crucial.
Dev Ops and CI/CD:
Understanding Dev Ops practices and CI/CD pipelines is important for modern application development.
Security Principles:
A strong understanding of security principles is vital for designing secure applications.
Architectural Styles and Patterns:
Familiarity with architectural styles (e.g., microservices, monolithic, client-server) and design patterns is crucial.
Test Automation Tools:
Soft Skills
Qualifications- Communication:
Effective communication with both technical and non-technical stakeholders is vital. - Problem-solving:
Analytical and problem-solving skills are essential for identifying and resolving issues. - Leadership:
The ability to lead and collaborate with development teams is important. - Adaptability and Flexibility:
Ability to learn new technologies and adapt to changing requirements is crucial. - Stakeholder Management:
Managing expectations and collaborating with various stakeholders is essential. - Time Management and Prioritization:
Effective time management skills are needed to meet deadlines and deliver quality solutions. - Teamwork:
Working effectively with a team is essential for successful application development. - Critical Thinking:
The ability to analyze situations and make informed decisions is important. - Staying updated with new technologies and methodologies is key to success.
CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.
Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
Equal Opportunity Employer
CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.
Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
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