Azure Cloud Engineer

Job Title

Experience and Education · 10 - 12 years of experience in an IT environment or relevant role required · 5-7 years of cloud development and support experience, such as Microsoft Azure · 2-3 years of experience in the financial industry preferred · Bachelor's Degree in a related field or equivalent work or military experience required Extensive experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets such as Azure ARM Templates, Hashicorp Terraform, AWS CloudFormation. Extensive experience with automation and configuration management using Puppet, Chef, Ansible, Jenkins, Azure DevOps or similar. Experience with one or more of the following: Azure Eventhub, Azure Virtual Machines, Azure Kubernetes Service, Blob Storage, Azure DNS, Virtual Networks, Redis Cache and Azure App Service, Azure Kubernetes Service. Strong experience with the Linux operating system. Strong background in scripting and automation in languages such as Python and Ruby. Strong background in cloud operations, instrumentation, and monitoring of distributed architectures using ZipKin, DataDog, AppDynamics, Splunk, Nagios, or similar.

Job Duties

• Design, and execute a comprehensive reliability and availability strategy across the Digital portfolio
• Drives the adoption of site reliability best practices throughout the organization with the ability to demonstrate this empirically through stability and reliability metrics
• Lead the design of cloud-native applications, ensuring they are scalable, maintainable, and efficient
• Implement best practices in cloud architecture in alignment with the Azure Well-Architected Framework, ensuring our solutions are secure, efficient, and cost-effective
• Oversee cloud infrastructure, employing Infrastructure as Code (IaC) practices to automate deployment
• Monitor system performance, troubleshoot issues, and optimize cloud environments.
• Drives the design of AKS with Istio service mesh to optimize microservices communication, security, observability with CI/CD integration using Helm charts
• Automate the provisioning of cloud environments through the concept of "pipeline engineering" using Terraform, Chef, Puppet and other tools.
• Research, analyze, design, develop and support high-quality automation workflows in the cloud platform that are appropriate for business and technology strategies.
• While embedding with teams, strategize, consult, and prototype alongside other engineers to implement best practices and solutions for applications utilizing CI/CD and the cloud.
• Evangelize Distributed Version Control and Trunk-Based Development practices, ATDD and TDD, Pipelines and Infrastructure and Release Automation
• Drive proof of concepts and conduct technical feasibility studies for business requirements
• Remain up to date on emerging technologies and architecture and propose ways to use them in current and upcoming projects
• Troubleshoot production issues, engage appropriate parties, and drive through to resolution
• Manage processes of 3rd party data streams into the datacenter and cloud
• Collaborate with Architecture team(s) to advise on any needed enabling work and make decisions regarding sequencing to ensure optimal delivery of value for business customers
• Ensure high availability and 24x7 monitoring
• Continually improve operational processes and procedures
• Educate and guide team members on Cloud standards. Act as a SME for all Cloud technical hands-on questions, with an initial focus on Azure and Cloud Native, 12 Factor Software development.
• Lead and facilitate the creation of compliance automation and policy-as-code to streamline cloud governance.
• Strive to provide internal and external customers with excellent customer service and world-class service.
• Effectively communicate project health, risks and issues to the program stakeholders, sponsors and management teams.
• Resolve most conflicts between timeline, budget, and scope independently but intuitively escalate complex or consequential issues to senior management.
• Identify and direct changes through appropriate review and approval mechanisms.

Additional Knowledge, Skills, and Abilities Pipeline Automation: Azure DevOps (YAML, ARM), Terraform, Jenkins, Chef, Octopus Deploy Code Scanning: SonarQube, Checkmarx Source Code repos: Git Containerization: Azure Kubernetes Service, Kubernetes (open source), Docker High-level programming languages: Java, C# (.NET MVC and.NET Core), Go Scripting: PowerShell, Bash Database: Oracle, Microsoft SQL Server, NoSQL (e.g., CosmosDB) Test Automation: Xamarin.UITest, Specflow, DevTest, Selenium, Test Data Manager, Postman, Maven, TestNG, JMeter Operating systems: Windows, Linux Cloud Platforms: Azure Metrics and Monitoring: Splunk