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Working knowledge of regular expressions (e.g., Java, RegEx, or Perl), data queueing protocols (e.g., Kafka, MQueue), Amazon Web Services (SQS, SNS, S3), and NiFi Expression Language. Working knowledge of regular expressions (e.g., Java, RegEx, or Perl), data queueing protocols (e.g., Kafka, MQueue), Amazon Web Services (SQS, SNS, S3), and NiFi Expression Language.
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You will join the Workflow Management Developer Experience team in Big Data scope to support Migration from Hadoop / Oozie (Spark, Perl, etc) legacy setup to a modern platform (AWS / S3 / Snowflake / Airflow.
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Experiences related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2. Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training.
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At least 3 years of AWS experience managing resources in some of the AWS services including but not limited to: EC2, IAM, S3, Route 53, RDS, VPC, SNS, SQS, and Lambda. We would love to speak with you if you have experience in and would love to work with tools such as Kubernetes, Terraform, Backstage, Jenkins, Spinnaker, Datadog, and databases such as Oracle, MongoDB, MySQL.
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Proficient experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML.Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
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Document and implement data solutions on AWS platforms such as EC2, S3, and RDS, ensuring scalability, security, and efficiency. Documented experience in implementing solutions on AWS, including EC2, S3, and/or RDS.
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Experience utilizing AWS services such as IAM, CloudFormation, CloudWatch, Config, Lambda, KMS, EC2, RDS, and S3. 5-10 years of experience as a Linux and Windows System Administrator, DevOps Engineer, Software Engineer, Automation Engineer and/or Cloud Engineer.
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Experience with AWS Lambda, Step Functions, EventBridge, RDS, S3, SQS, CloudWatch, CodeCommit, ECS. In this role, the AWS Cloud Engineer will be responsible for managing cloud-based infrastructure and various AWS services, including networking, security, compute, resource/stack and monitoring.
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Database Administration and Storage Systems: Experience with AWS RDS Aurora MySQL, S3, DynamoDB, Redshift, and data visualization tools. While our core technologies include Ruby on Rails, React, Javascript & Typescript, MySQL, AWS and various 3rd party tools and open source libraries, we welcome expertise in analogous stacks.
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Configuration of AWS resources such as S3 buckets, Load Balancers, Security Groups, and IAM Roles and Policies. Automation via infrastructure as Code (IaC), e.g., Terraform, Ansible, etc. Scaling Splunk Indexer Cluster and Search Head Cluster.
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Experience with AWS technologies including Simple Storage Service (S3), Simple Queue Notification Service (SQS), Simple Notification Service (SNS), Elastic Container Service (ECS), ECS Fargate, Lambda, Elastic Kubernetes Service (EKS), Application Load Balancers, Simple Systems Manager (SSM), CloudFront and CI/CD Pipeline Automation (Gitlab) highly desired.
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3+ years of experience working with AWS Services including but not limited to ELB, EC2, RDS, Kubernetes, S3, SQS, Secrets Manager, KMS, IAM and Autoscaling. 3+ years of experience working with AWS Services including but not limited to ELB, EC2, RDS, Kubernetes, S3, SQS, Secrets Manager, KMS, IAM and Autoscaling.
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Experience using AWS services/technologies (e.g. CloudFormation, S3, ECS) The primary duties will be to support the deployment of microservices via a DevSecOps pipeline within a Linux-based multi-tenant environment.
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2+ year developing in AWS cloud native or server less approach (ECS, Lambda, IAM, API Gateway, CloudFormation, Code Deploy, Parameter Store, Serets Manager, CloudWatch, S3) 2+ year developing in AWS cloud native or server less approach (ECS, Lambda, IAM, API Gateway, CloudFormation, Code Deploy, Parameter Store, Serets Manager, CloudWatch, S3.
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Experience with AWS services such as S3, Cloudwatch, DynamoDB, RDS, MKS, Lambda, API Gateway. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
$123,200 - $154,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago
s3 job in Arlington, VA
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