Gravity IT Resources

Job Title: Principal Cloud Engineer – Azure

Location: Alpharetta, GA or Lakeland, FL

Job-Type: Permanent

Referral Fee: $1,500-2,500

Employment Eligibility: Gravity will only consider US Citizens & Green Card Holders

Position Overview:

Gravity is looking for a Principal Cloud Engineer who will be a focal point of the transformation efforts for our IT Modernization projects. You will enable the transformation of our Cloud development and operations practices. The Cloud Specialist should have a solid understanding of cloud services and be able to lead a team of cross-functional application developers, infrastructure engineers, and security specialists to promote cloud-first architecture and implementations.

 

Our client is $32B, supermarket chain operating in Florida, Alabama, Georgia, South Carolina and Tennessee. Technology is a major driver of this company’s efforts to continue to deliver exceptional value to its customers.

Responsibilities:

Description

  • Provide oversight and experience with your strong understanding of Cloud services, DevSecOps toolsets and platforms including compute, storage, networking, Security, Kubernetes, service mesh, CI/CD as well as monitoring and logging technologies.
  • Define and drive automation framework for Cloud infrastructure provisioning and configuration management, self-service, Infrastructure-as-Code services, Auto Scale initiatives, and DevOps deployment and drive cloud strategy to move towards IaaS, PaaS, and SaaS cloud models.
  • Define standards and best practices by conducting POCs for new cloud technologies leveraged by the development organization and engineering teams.
  • Develop a baseline for deliverables to include; Network access, Restriction of internet-facing resources within the cloud platform, provision, and configure computer resources within the Azure environment.
  • Define and develop establish architectural standards that promote DevOps practices such as infrastructure as a code and continuous automated integration/continuous deployment (CI/CD) and optimizing solution architectures to manage costs and identify cost control mechanisms.
  • Provide expertise and serve as Subject Matter Expert regarding Cloud for both infrastructure and applications in Microsoft Azure.
  • Work with application teams with their digital transformation goals and provide cloud deployment orchestration, automation, and security configuration management expertise.
  • Work with applications team to draft and institutionalize cloud security standards, reference architecture’s, patterns, and guidelines for Cloud-native development and migrations.
  • Work with the IT Security Team, Solution Architects, and Cloud Operations Team with any security-related issues that arise and maintain a log of operational activities performed.
  • Develop, maintain, and drive a continuous enhancement culture for a robust knowledge management system for the Cloud Operations team and its partners.
  • Establish a continuous improvement plan for Cloud Operations, including technology reviews, root cause analysis, action reports analysis, and cloud portfolio review to ensure adequate infrastructure to provide a suitable operating environment(s) for critical applications.
  • Develop all aspects of the cloud migration initiative, including its impact on infrastructure, networks, and security.

Required Qualifications

  • Bachelor’s degree in computer science or a related analytical field, or equivalent experience.
  • MUST have AZ 301 and AZ 300 Azure Cloud Certifications.
  • Minimum of 6 years of experience in configuring and using PaaS offerings (like WebApp, Azure Database services, Azure Kubernetes, Azure DataLake, etc.)
  • Hands-on experience with using, configuring, implementing, and troubleshooting network infrastructure connecting to Azure Public Cloud Provider, including a deep understanding of and experience with Cloud Infrastructure (VNETs, subnets, Network Security Groups, route tables, ACLs); authentication policies, DNS, cloud storage and domain management.
  • Strong demonstrated experience in Azure Security Center, Azure Key Vault, Log Analytics, and Azure Databricks.
  • Experience in setting up enterprise-level account structures and security models in Azure.
  • Proven and demonstrated knowledge of depth knowledge of cloud-based delivery models.
  • Experience developing cybersecurity solutions across a diverse and heterogeneous IT environment.
  • Demonstrated experience in implementing security controls, including access control, privileged access management, data security, network security, data loss prevention, cloud security, vulnerability management, configuration management, privacy, and audits
  • Build automation handling large numbers of diverse systems with configuration management and automation systems like Azure DevOps (VSTS,) Docker and Terraform
  • Excellent oral and written communication skills and experience with communicating with other teams via calls, chats, and email
  • Hands-on experience writing effective terraform scripts
  • Hands-on experience with Azure Resource Templates based on best practices
  • Hands-on experience with Azure policies
  • Hands-on experience migrating Apps to the cloud

Preferred Qualifications

  • Familiarity with 1 or more version control systems (Git, Perforce, SVN, TFS/VSTS/Azure DevOps).
  • Minimum of 8 years of experience configuring direct connections to the cloud from on-premise, gateways, virtual networks, and security segmentation technologies in a production environment.
  • Production experience with a hybrid cloud configuration.
  • Experience with Containers and Container orchestration solutions: Kubernetes, AKS and Docker Swarm
  • Experience developing software that is deployed to the cloud.
  • Experience writing scripts in PowerShell.
  • Experience with SQL Server.
  • Experience with Azure Cosmos DB and/or MongoDB.
  • Experience working Azure.
  • Passed one or more Azure certification exams.
  • Experience with VSTS/Azure DevOps deployments.
  • Experience with big data clustering technologies (Hadoop, Spark, HDInsight, EMR, etc.).
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