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Azure-specific certifications can be a plus, such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure DevOps Engineer Expert. Sr. MLOps Engineer with AZURE and LLM exp - Dallas, TX (Onsite.
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The Sr. Cloud Engineer designs, develops, deploys, and supports Information Technology (IT) equipment, services, processes and software within cloud infrastructure environments such as Microsoft Azure for CECO Environmental Corp. This is an IT Enterprise production support position, and as such, off-hours critical systems/emergency support will be expected to support business continuity requirements.
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Act as a Subject Matter Expert for migrating on-prem applications to cloud-based PaaS focusing on data warehouse and big data solutions: Microsoft Azure HDInsight, Azure Databricks, Azure Synapse and Snowflake.
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Hands-on development skills key technologies - Java/Groovy, Ansible, Infrastructure-as-Code (IaC), Docker, Cloud Kubernetes, AWS Lambda/Azure Functions, NoSQL such as MongoDB or DynamoDB. 4+ years in Cloud software development (AWS and *nix is the preferred environment), with a focus on Infrastructure-as-code tools like AWS CloudFormation, Azure Resource Manager or preferably Terraform.
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Minimum 3 years experience of hands-on experience using at least one of IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc.) Certification(s) in using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc.
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Experience with IAM / Modern Authentication / Identity tooling is a plus (e.g., ServiceNow, MFA, Security Token, OAUTH, Azure AD conditional access, AWS, etc.) 4+ years of experience with Azure DevOps, Azure Security, or a similar role within an enterprise-level organization.
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Azure Cloud Services: strong experience with Azure for cloud services development, familiar with Azure DevOps, Azure Functions, Azure SQL Database, and other Azure managed services.
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Proven experience in SRE and/or DevOps roles with a focus on cloud environments, preferably Azure. Monitoring Azure Updates: Stay ahead of Azure service updates, retiring/upgrading notifications to ensure our infrastructure remains cutting-edge.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark.
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Familiarity with public cloud platforms (e.g., AWS, Azure, GCP) and hybrid cloud networking. We are seeking a highly skilled, adaptable, focused, and driven Senior Network Engineer with expertise in datacenter environments.
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Current Azure DevOps Expert or Azure Architect Expert certification or equivalent AWS or GCP certification required. Pipeline Automation: Azure DevOps (YAML, ARM), Terraform, Jenkins, Chef, Octopus Deploy or other similar tools.
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Deep Technical knowledge and experience in Databricks, Python, Scala, Microsoft Azure architecture and platform including Synapse, ADF (Azure Data Factory) pipelines and Synapse stored procedures.
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Experience working with AWS EC2s (or Azure VMs), as well as Container (Kubernetes / EKS) and image security scanning. knowledge of AWS, Azure, or GCP. Our client is looking for Cloud Security Engineer (AWS) candidates for a hybrid position (in office Tuesday – Thursday) located in either Charlotte, NC; Malvern, PA; Dallas, TX (preferred); Scottsdale, AZ.
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Work on debugging and resolving technical issues specific within various cloud environments like Amazon Web Services, Google Cloud Platform, Microsoft Azure, Docker, and Kubernetes. Show Strong technical expertise in Microsoft Azure and Governance.
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Microsoft Azure Data Engineer (Preferred) Hands-on experience with any automation-centric scripting and/or tooling such as Ansible, Terraform and Code repositories Azure DevOps. Proficient in creating and maintaining CI/CD pipelines using Azure DevOps.
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azure job Title: machine engineer Company: Advantis Global in Dallas, TX
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