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Job Description

Insight Global is seeking a Senior Cloud Engineer, you will consult and contribute to business process improvements of IT policies, procedures, tools, security controls and infrastructure. You will also conduct research and Proof of Concept activities and provide recommendations for new technologies, techniques and tools to add value by increasing efficiency while improving service quality. The Azure Cloud Engineer will maintain the operational Azure cloud environment, perform infrastructure deployments and ensure the production environment is operating securely and efficiently using automation tools. You will work with Infrastructure Engineering to make sure all deployments follow standards, are compliant and secure. You will also be partnered with other cloud team members, application owners and business owners for faster delivery of resources. You will report to the Cloud Platform Team Lead.

The Day-to-Day:

• Develop, implement and maintain scalable, high-performance AI infrastructure on Microsoft Azure platform

• Collaborate with business stakeholders to understand their AI requirements and design effective AI solutions

• Provide technical expertise and support troubleshooting AI-related issues and performance bottlenecks

• Recommend AI based solutions, document and communicate to technical and non-technical stakeholders effectively

• Design and manage scalable and resilient cloud infrastructure and automation tooling for routine operation tasks

• Deploy enterprise scaled cloud resources that can be used across technology organizations using code

• Be the contact to business application owners and build bridge between them and cloud team

• Follow security audit requirements and controls in every action

• Implement and suggest strategies in Infrastructure as Code (IaC), CI/CD, develop tooling and associated processes for applying automated, faster, efficient, and consistent error-free deployments

• Enhance existing deployment processes and Infrastructure as Code scripts to improve automation, efficiency, and consistency

• Participate in team activities such as peer code reviews, design collaboration efforts and rotating on-call process

• Use configuration management and automated deployment tools to provide cloud-based solutions and services ensuring best practices

• Work with solution architects, tech leads and partners to confirm developed solutions align with existing standards, meet security controls and meet cloud computing best practices

• Collaborate with other engineers, provide guidance and training

• Manage implementations and ongoing operation of cloud services following approved designs, adherence to patterns, security requirements and certify all logging and monitoring are active for security and compliance

• Investigate and monitor current-state cloud usage, solutions in use, risks, gaps, limitations and recommend solutions, optimizations and remediation

• Maintain comprehensive and systematic configuration, lifecycle and security management of servers and services

• Provide international and 24/7 support via on-call duties and/or working a flexible off-hours schedule for planned and unplanned maintenance

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

- 7+ years Azure Cloud Engineering experience

- Need to have at least 6 months to a year of professional working experience within Azure AI (cannot be course work or freelance projects)

- 5+ years of experience in the following:

o Maintaining resources in cross platform environments

o Azure cloud infrastructure deployments using IaC (Terraform

o Building, deploying and managing public cloud IaaS and PaaS services

o Deploying resources using Terraform

o Powershell

- 4+ years of experience in the following:

o GitHub and GitHub Actions

• YAML/YML for GitHub actions

o Azure CLI experience - Experience with Azure IaaS (Virtual Machines, Storage, Networking) and PaaS (App Services, Azure SQL, Azure Functions, Azure Data Factory)