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The Cloud Engineer is responsible for developing and delivering automated solutions which enable secure and resilient application infrastructure provisioning (IaC), configuration management (CaC), and operations management (SRE-centric) across all SDLC environments.
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The Cloud Security Engineer will be an integral member of the Cloud Security team focused on Canoo's overall Cloud Security posture, DevSecOps, Enterprise Identity and Access Management (IAM), detailed technical standards and playbooks, and implementing tools to improve the security of cloud workloads.
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Infrastructure as Code (IaC) : Implementing Infrastructure as Code practices using tools like Terraform or Google Cloud Deployment Manager to automate the provisioning and management of resources across our cloud platforms.
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Apex Systems has an Immediate Need for a (100% Remote) AWS Cloud Security Engineer. (100% Remote) - AWS Cloud Security Engineer - 3+ Years of Experience in Engineering CI/CD processes and tools as well as automation with Terraform and Ansible, following Infrastructure as Code (IaC) concepts.
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A DevSecOps Engineer specializing in Azure Cloud, you will be responsible for designing, implementing and maintaining secure and scalable software systems and infrastructure. Develop automation scripts and manage the configuration and infrastructure as code (IaC) using tools such as Terraform, Ansible, or similar, with a strong emphasis on security.
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Experience with Terraform Cloud and Azure DevOps. We are seeking an experienced and passionate azure cloud engineer to join our team. Experience in IaC development with Terraform, Azure CLI, Puppet, and Ansible.
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Support the Digital Thread (DT) Architect and Delivery Lead to engage technology providers and architect cloud-based application system designs (COTS/FOSS) compliant with applicable standards (NIST/DFARS.
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Manage and provision resources within AWS, Azure, GCP, and other cloud environments Automate with code utilizing popular DevOps tools and scripting languages, including Terraform, Packer, Salt, Ansible, Python, Powershell, Bash, Javascript, and Go.
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As our Site Reliability Engineer, you will need strong logic and problem-solving skills to guide creation and maintenance of reusable enterprise cloud technology solutions. IaC tools include Ansible, Terraform, PowerShell, CDK, bash, TypeScript, Python, and other applicable tools.
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3-5+ years' of experience as a DevSecOps Engineer and/or experience in Cloud Architecture and Engineering. Experience with assessment, development, implementation, optimization, and documentation of a comprehensive and broad set of security technologies and processes (secure software development (Application Security), data protection, cryptography, key management, identity and access management (IAM), network security) within SaaS, IaaS, PaaS, and other cloud environments.
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Develop and maintain cloud infrastructure using infrastructure as code (IaC) tools such as AWS CloudFormation, Terraform, or Ansible. AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, AWS Certified SysOps Administrator - Associate) are a MAJOR plus.
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Proven experience as a Cloud Operations Engineer or a similar role, with a focus on Microsoft Azure, Kubernetes, Micro Services, Office 365, and Citrix Cloud. The DevOps Engineer will play a critical role in designing, implementing, and maintaining our cloud infrastructure, with a focus on Microsoft Azure, Kubernetes, Micro Services, Microsoft 365 SaaS, and Citrix Cloud.
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You will be primarily developing Data Warehouse Solutions in BigQuery/Snowflake using technologies such as dbt, Airflow, Terraform. Extensive experience with Bigquery or similar cloud warehouses (Snowflake, Redshift.
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Cloud certifications such as AWS Solutions Architect Associate/Professional, AWS SysOps Administrator, AWS Developer, or AWS DevOps Engineer. Hands-on experience with security tools for static code analysis, dynamic application security testing (DAST), and vulnerability scanning, using tools such as Fortify, Acunetix, and Prisma Cloud.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Working experience with Continuous Integration & Continuous Deployment with hands-on expertise on Jenkins, Terraform, Splunk and Dynatrace.
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