Azure Administration

Programmers.io; Burlington (MA); On-site; USD 120,000 - 150,000; Full time

Job summary

Programmers.io is seeking a Senior Azure Administrator to lead the design, deployment, and ongoing support of Azure resources and related cloud technologies. You will implement automation using Terraform, Ansible, and PowerShell, and partner with product management to advance Azure AI Services adoption.

The role requires 10+ years in Azure administration, strong scripting skills, and deep cloud architecture experience to deliver enterprise-scale solutions.

Qualifications

• AI experience: 3+ years in enterprise cloud-based AI solutions.
• Degree in IT/CS or equivalent.
• 10+ years of Azure administration experience.

Responsibilities

• Deploy and maintain Azure resources across cloud and on-prem environments.
• Lead security auditing, monitoring, and incident response for Azure platforms.
• Design architectures integrating core infra technologies with Azure AI services.
• Collaborate with product, network, and security teams to ensure production readiness.
• Develop CI/CD pipelines and automation using Terraform, Ansible, and PowerShell.

Skills

Azure Administration

PowerShell

Terraform

Python scripting

Cloud architecture

AI & Cognitive Services

Networking & Security

Education

Bachelor's degree in Information Technology or Computer Science

Tools

Ansible

Azure DevOps

CI/CD pipelines

Job description

Role Descriptions: Azure Administration
Technical/Functional
Skills Provide in-depth AI expertise to support the technical relationship with Azure customers, including product and solution briefings, creating demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Azure AI Services (Cognitive services portfolio, Azure Open AI). Deploy and maintain Azure resources and other cloud technologies. Well experienced in the usage of PowerShell and Terraform Experience in Python scripting Implementation and support for Networking, Databases, Software, and Servers in the Cloud. Design architecture for integrating core infrastructure technologies in support of enterprise applications. Perform risk assessments of existing and new technology
deployments. Recommend, implement, and monitor security auditing and alerting solutions. Monitor cloud and on-premise resources to verify integrity and availability. Troubleshoot operational issues, escalated as appropriate and offer solutions. Collaborate with application development, network/security, and infrastructure teams to ensure seamless integration within the production environment, including validation planning, validation testing coordination, and reporting production readiness for deployment. Establish standards, tools, and processes to be used by the team and create procedures to guarantee adherence and compliance to those standards. Develop, document, and understand internal IT processes and procedures. Utilize automation tools such as Terraform, Ansible, or similar. Ensure timely resolution of issues, responsible for communicating with all impacted parties the status and resolution of all issues. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Azure AI. The Azure Cloud Administrator will help to employ technical expertise to the design, implementation, testing, and ongoing support of the Data Lake cloud infrastructure The Cloud Administrator will specifically be responsible for developing Network and Security best practices for Azure Data Platform, provide expertise in Azure infrastructure as code, administer and maintain production platforms to meet SLAs, and creating CI/CD Pipelines for deployment Be a trusted advisor to our top customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Azure Cognitive services / Azure Open AI. Demonstrate how Azure AI is differentiated, highlighting
the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and benchmarking. Build repeatable assets to enable other customers and internal teams. Influence Azure AI strategy by leveraging Cognitive Services, Search and Azure Open AI models by advocating enterprise customer requirements. Address security and IP, performance, scalability, and customer readiness Engages in conversation with customers and collaborates with account and partner teams to drive and qualify new opportunities, understand key technical objections, and resolve technical blockers. Identifies customer business and technology readiness, proactively builds external stakeholders' mapping, implements strategies to accelerate the closing of deals, contributes input on strategies to drive and close prioritized opportunities, coaches junior team members in deal plan execution, and implements close plans.
Experience Required 10 Years and above
Roles & Responsibilities The Senior Azure Administrator works with clients and internal stakeholders and will be responsible for daily BAU tasks including network diagnostics, VPN configurations, and firewall policy changes.
Generic Managerial Skills Must be detailed oriented, have excellent written and verbal communication skills, and be an aggressive self-starter. A strong sense of customer service, attention to detail, and issue ownership. Understanding of ITIL concepts desired.
Education Degree in Information Technology, Computer Science or equivalent. AI Experience: 3+ years of AI (Machine Learning, Intelligent Apps/Agents, Search) selling experience in enterprise public cloud-based solutions. Technical expert on AI/Cognitive Services.
Key words to search in resume Azure Administrator
Prescreening Questionnaire Basic Pre screening Questing Post that technical expert will interview. 1. Tell some services that SWIFT provides? And the candidate experience in this field. 2. Explain the detail about the SWIFT code. 3. What have you learned from mistakes on the job? And the management style to handle the issues .