Posted:2 months ago| Platform:
Work from Office
Full Time
We are looking for a highly motivated and passionate Azure Cloud engineer focusing on Azure Infrastructure data Services to join our diverse and inclusive Retails solution Team at FedEx ACC! We are seeking a skilled Azure Cloud Solution advisor having 10 -15 years of experience to join our Data and machine learning engineering team under FedEx Retail solution. This role will be important in managing and optimizing Azure cloud solutions, with a primary focus on Azure DevOps, Azure classical pipeline, Terraform for Infrastructure as code, YAML and PowerShell/Python scripting and having an expertise in IaC, IaaS, PaaS and SaaS solution. The ideal candidate should have hands-on experience in Azure data and AI services, such as Azure Data Factory, Azure Synapse and Azure Databricks from a DevOps perspective. Qualifications : - Bachelor s degree in engineering (computer science Information Technology), or a related field. - 5 + years of experience in Azure cloud engineering - Excellent problem-solving skills, with a proactive approach to identifying and addressing challenges. Must have Skills : Azure cloud and DevOps. Expertise in classical and YAML pipeline for CI CD. Terraform and ARM expert level of understanding for infrastructure provision. power shell/python scripting for automation and having understanding of Azure API cmdlets ex: Az.DataFactory Expertise in Azure Entra service (earlier Azure Active directory), Azure Administrator ex: policies Expertise in Cloud and enterprise Architecture and design. Expertise in DevSecOps, Azure security, monitoring, BCDR strategy, firewall, VPN and Cost management. Good knowledge on programming and debugging skills. Azure cloud networking for hybrid cloud Preferred Skills: Familiarity with Azure data and AI services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure data lake, Azure data warehouse. Must have worked on project using these services. Good understanding about authentication mechanisms like MSI(Managed Identity) , SAS, Service principles , Identity access management. Strong communication skills and ability to work effectively in a collaborative environment. Agile methodology (SAFe/Scrum agile preferred) and leading and creating vision for team Education: Bachelors degree or equivalent in Computer Science, Electrical / Electronics Engineering, MIS or related discipline Experience: Relevant work experience in software engineering based on the following number of years: Associate: Prior experience not required Standard I: Two (2) years Standard II: Three (3) years Senior I: Four (4) years Senior II: Five (5) years Knowledge, Skills and Abilities Fluency in English Accuracy Attention to Detail Analytical Skills Problem Solving Skills Microsoft Office PC Skills Numerical Skills
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