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AWS Certification (AWS Solution Architect Associate, AWS Developer, AWS DevOps) Experience with containerization (Docker, Kubernetes, AWS EKS, AWS ECS, Fargate.
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AWS, Python, IAC, Infrastructure as Code, CloudFormation, CDK, Redshift, Glue, Lambda, DMS, Storage Gateway, Transfer Family, S3, Redshift, SQL, Terraform. We are looking for a bright, enthusiastic Cloud Engineer to be part of a lean team responsible for the maintenance and optimization of our AWS Data Lake infrastructure, including AWS Redshift, DMS, Glue, Storage Gateway, Transfer Family, Lambda, and S3.
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An Engineer with a passion for programming and knowledge in Cloud technologies such as Docker, Kubernetes, in general and AWS specific cloud components such as EC2, EKS, AWS Lamda functions, API Gateway, RDS. Engineer/Developer is expected to provide strategy and implement an enterprise scale service mesh and side car architectures with focus on scalability, performance, security and availability.
RemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Working knowledge of AWS services i.e. EC2, ELB, RDS, S3, Route53, Transit Gateway, VPC, Cloud formation, SSM and Transit gateway. CCIE R&S, or CCIE data center certifications and AWS certified solutions architect is a big plus.
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Strong experience with Kubernetes Container Orchestration Tool,GoLang, Gloo, AWS, Apigee API Gateway,- Experience with REST, SOAP, and GraphQL API support. - Support multiple applications, specifically running Kubernetes/Gloo/AWS/Apigee/ PCF/GCP/Java based systems in an enterprise environment.
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Corp Drive & Quip to M365 Skills: Typescript with AWS CDK Java/Spring Framework (Spring Boot) - Java proficiency is required over Spring because Amazon uses an internal framework, Coral Golang (Go programming language) Python (optional) Ruby (optional) AWS S3, ECS, API Gateway, Dynamo DB, Step Functions, Lambda, SQS, Event Bridge, SES (Simple Email Service) Git Job description: o Support migration related tool development to close resource gaps with existing service teams.
$65 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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6+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc. Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods.
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3+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc. 3+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others.
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Automaton tools include Terraform, Ansible, API Gateway and Hybrid Cloud Platforms to provision and self service cloud infrastructure delivery across multiple platforms (AWS, vSphere, Azure, and GCP.
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5+ years of hands-on experience in administering cloud technologies on AWS, especially with IAM, VPC, Lambda, EKS, EC2, S3, ECS, CloudFront, ALB, API Gateway, RDS, CodeBuild, SSM, Secret Manager, Lambda, API Gateway etc.
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Experience in AWS components including: Lambda, Kinesis/Firehose, Airflow, Glue,Spark, EC2, SageMaker, S3, NoSQL database and API Gateway. Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering.
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Current deep experience with AWS, APIs, accelerators, DevSecOps. Cloud Architecture Certification (AWS, GCP, or Azure) or strong architecture experience on Cloud. In addition, our Life Balance program provides access to professional counseling services, life coaching and other resources to support your daily life needs.
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Champion of data technologies in areas of data integration, Business Intelligence and AI/ML. As a Sr. Architect, you will help lead the effort to create the technology target state for the Enterprise Data and Analytics Unit of a global, Dow 30 company.
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Your expertise in NetScaler ADC/gateway, Citrix PVS, VDI, application publishing, troubleshooting, and disaster recovery will contribute to the success of our virtualization and application delivery initiatives.
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Strong experience architecting big data solutions using Data Lake, Data Warehouse , Data Products. Experience with specific DevOps and MLOps (Machine Learning) practices. Executed technology modernization initiatives including migration to cloud native and API Strategy.
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