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Job Title: Cloud Engineer - AWSLocation: Lansing,MI (Hybrid)Duration year with possible extension Top Skills & Years of Experience:+ years of Cloud technologies experience, preferably in AWS.Experience with AWS services like S, EC, VPC, LAMDA, Amazon manage streaming for Apache Kafka (MSK), BROSA (OpenShift.
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1 or more professional cloud certifications: AWS Cloud Practitioner, AWS Solution Architect - Associate, AWS Developer - Associate, AWS Security - Specialty, or AWS Solution Architect - Professional.
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Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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The Cloud Security Engineer will also advise the Cyber Security Team and CISO on emerging vulnerabilities, threats and newly introduced risks to Global’s AWS Cloud infrastructure.
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Microsoft Azure Solutions Architect, AWS Solution Architect Professional, Google Cloud Architect, or Oracle Cloud Infrastructure Certification. 10+ years of experience in Cloud architecture with Cloud environments, including AWS, Azure, Oracle Cloud, or Google Cloud in FedRAMP and FedRAMP+ environments.
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Certification in one or more of the following technologies: Microsoft Azure Solution Architect, Microsoft Azure Administrator, Google Professional Cloud Architect, Google Associate Cloud Engineer, AWS Certified Solutions Architect Professional, AWS Certified Solutions Architecture Associate, AWS Certified SysOps Administrator Associate.
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AWS Cloud Practitioner or Microsoft Azure equivalent. Cloud platforms, e.g., AWS, Azure, OCI. General cloud technologies, e.g., elasticity, scalability, IaC, IaaS/PaaS/SaaS, on-demand instantiation, containers, Kubernetes, serverless/Lambda.
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Skill Set: Azure or AWS Cloud platform, AI/ML & MLOps, Java, Spring, Microservices, Bigdata, Streaming, Security, Application tiers & Network tiers, Azure Architect, Synapse, AI/ML, MLOps.
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IaC or DevOps certifications (e.g., Terraform, AWS Developer) are a plus. Description We are seeking an experienced DBA with a strong background in AWS database services (e.g. Amazon DynamoDB, Amazon Aurora, Amazon RDS) and Infrastructure as Code (IaC) to manage, optimize, and automate our database infrastructure.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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Lead Software Engineer- Cloud Platform. Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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We are on the lookout for a highly skilled DevOps Engineer with 10+ years of experience and deep expertise in AWS Cloud Development Kit (CDK) to join our team. Senior DevOps Engineer with deep expertise in AWS Cloud Development Kit (CDK.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Our CI/CD pipelines are implemented on top of Jenkins and deployed to AWS. Some of the other technologies we have in our ecosystem are Glue, S3, Lambdas, ALBs, Snowflake and Databricks.
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7+ years of experience in Ansible, Kubernetes, Containers, GitLab, Jenkins, Jira, Confluence and CloudFormation 7+ years in AWS Cloud Services such as VPC, EC2, EKS, ECR, EFS, EBS, S3, RDS, DynamoDB, CloudFront, SQS, Elastic Load Balancing, Auto Scaling, Route 53, Cloud Watch and IAM. 5+ years of experience practicing AWS Cloud Computing, DevOps, CI/CD, Infrastructure Automation, Configuration Management, and Quality Engineering Expertise.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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aws cloud jobs Title: devops engineer Company: Pwc
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