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Title :Sr. Azure Cloud Engineer
Location : Chicago, IL - Hybrid (2 days in Office)
Duration : 6 Months
Required : Azure Cloud and Azure DevOps, hybrid enterprise infrastructure (OnPrem / Cloud), API, CI/CD and DevOps.
The Cloud Engineer responsibility is to design, develop, and maintain our cloud infrastructure and applications. The Cloud Engineer will collaborate with cross-functional teams to design and implement cloud solutions that meet business requirements and drive operational efficiency. The Cloud Engineer works closely with development teams to ensure smooth integration and deployment of applications, leveraging DevOps tools and practices.
Experience/Requirements
3-6 years experience in hybrid enterprise infrastructure (OnPrem / Cloud)
Experience in Azure Cloud and Azure DevOps
Understanding of advanced networking concepts related to hybrid cloud infrastructure
Experience in Cloud Application and API development and management
Strong proficiency in automation tools, CI/CD process, configuration, and scripting languages
Familiarity with containerization technologies (Docker / Kubernetes)
Strong collaboration, interpersonal, problem-solving skills
Strong knowledge of IT security requirements
Location of the position is Chicago HQ
RESPONSIBILITIES
Drive cloud initiatives to streamline infrastructure provisioning and configuration management
Monitor the performance and reliability of automation infrastructure, frameworks, and tools
Troubleshoot and resolve any issues related to Cloud infrastructure and services.
Evaluates and analyzes data on performance/capacity and reports on key measurements
Ensures industry standards are followed for security protocols
Identify opportunities to drive cost of cloud infrastructure down
Consults and coordinates with various internal departments, external or business partners, providers and business entities as a representative of the areas of responsibility
Performs product evaluation, product installation, and product upgrade efforts
Recommends hardware and sizing and implements/installs hardware and software products, as well as new standards and procedures
Reviews system, technical and internal customer documentation for accurate content
Explains/trains as subject matter expert on technical concepts of cloud infrastructure and DevOps
Performs peer reviews for technical documentation
Reviews current and emerging information technology and trends and provides short and long term roadmaps and provides recommendations for improvement.
POSITION REQUIREMENTS:
Works under minimal supervision, relying on experience and judgement to plan and accomplish assigned goals
Performs at a level clearly above that of the related Technical Specialists by demonstrating greater productivity, proficiency, leadership and mastery of job content
Technical Lead on small to large projects; participates as subject matter expert in projects of all sizes
Education
Bachelor s Degree in Computer Science or related field (or equivalent experience)
Certifications Preferred:
Microsoft Azure Administrator Associate
Microsoft Azure DevOps Engineer
Microsoft Azure Solutions Architect a plus
Full Time
IT Outsourcing & Consulting
$115k-145k (estimate)
05/26/2024
07/25/2024
pksi.com
SCHAUMBURG, IL
25 - 50
1997
SUPREED SINGH
<$5M
IT Outsourcing & Consulting
Founded in 1997, Pegasus Knowledge Solutions is an independent, advanced analytic software and services organization, that partners with the industry leading providers to help customers create value from their data, bringing a range of talents, including data integration and preparation, big data environments, data mining, predictive analytics, machine learning and text mining, as well as dashboarding and visualization. Pegasus is focused on quality, speed of execution, value and above all, customer satisfaction. Our global solution delivery centers are ISO 9001-2008 and ISMS 27001-2013 Certif...ied. Leading Organizations are harnessing the power of Advanced Analytics today to address business challenges. Our Analytics solutions and services utilize statistical techniques, predictive modeling, text and social data mining to provide customer and operational insights. Our Data scientists can help you sift through customer data (including web and social data) and syndicated data sets to build statistical models to improve business outcomes, like customer and employee retention, fraud reduction, increased sales and many other areas. These models seamlessly integrate into visualization tools which can be accessed on any device to enable collaborative sharing and improved decision making. Our industry-leading technology and platform partnerships enables us to bring best-in-class solutions to you.
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