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Experience with AWS cloud technologies: ECS/Fargate, ECR (EC2 Container Registry), Lambda, DynamoDB, Aurora PostgreSQL, API (Application Programming Interface) Gateway, VPC (Virtual Private Cloud), ALB, NLB, Neptune.
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Posses one or more cloud certifications such as AWS Solutions Architect, MS Azure Solutions Architect, GCP Cloud Architect, ISC2 CCSP. 5+ years of knowledge and technical hands-on experience managing/deploying cloud capabilities with one or more cloud environments (AWS, Azure, GCP, OCI.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. (Google Cloud Platform, AWS, Azure); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes). Expertise in web development technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks (e.g., React, Angular, Vue.js.
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Experience building and securing cloud-based and on-premise environments such as AWS, Azure, GCP, CoLos and physical data centers. Experience with cloud DevOps tooling and expertise in container native systems and associated security and scaling considerations - ability to work with and build tooling that works in a multi/hybrid cloud environment with modern CI/CD, IaC, DataOps, and DevSecOps best practices.
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Experience with at least one major cloud platform; Microsoft Azure strongly preferred, Oracle OCI strongly desired, Google Cloud, and/or AWS acceptable. Experience with major OCI services such as OCI (Oracle Cloud Infrastructure) IDCS (Oracle Identity Cloud Service) and/or OIC (Oracle Integration Cloud) preferred.
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Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes.
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2 or more professional certifications (SAFe PM/PO, CISSP, GIAC, CISM, CCSP, AWS Cloud Practitioner, AWS Security) 2+ years of experience working with cloud based or on-prem SIEM products (Splunk, Elastic, ArcSight, QRadar, Sentinel, Securonix, LogRhythm.
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Minimum of 5-7 years of experience as AWS Cloud or DevOps Engineer. The ideal candidate will have deep experience with AWS Cloud DevOps principles. Automation : Develop and maintain automated deployment pipelines, configuration management, and infrastructure as code (IaC) using tools like AWS CloudFormation, Terraform, and Ansible.
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6+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others. Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Azure or GCP cloud platform.
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Experience with cloud platforms (AWS, Google Cloud Platform, OpenStack), CI/CD, and Agile methodologies. Job Title: Senior QA Test Automation Analyst - Remote / Telecommute. Senior QA Test Automation Analyst - Remote / Telecommute.
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Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Engineer role at Canonical.
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Experience with cloud computing platforms (GCP, AWS, Azure) Knowledge of cloud computing platforms (GCP, AWS, Azure) Experience with Databricks, Snowflake, AWS Redshift, Google Big Query, Azure Synapse.
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Wireshark, tcpdump, tracerouteAWS RDS, PostgreSQL, MySQL, or MongoDBSlack, MS TeamLog Management Tools (Elasticsearch, Sumo Logic, or Graylog)Rally (optional, will train)ResponsibilitiesYour role as a Site Reliability Engineer II at Cox Automotive encompasses a range of critical responsibilities aimed at ensuring the reliability, quality, and performance of our AWS cloud-hosted applications.
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Expert level Knowledge of Cloud platforms such as: AWS, Azure, and related platforms Snowflake, Databricks, etc. Breadth of technical experience and knowledge, with depth in Data Engineering (data exchange, data processing, and data delivery), Data Warehousing, Business Intelligence, and two or more of the following areas: Data Modeling, Meta Data Management, Master Data Management, AWS Solution Architecture.
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