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Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation/Terraform, CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena, AWS AI (Bedrock, SageMaker, Q.
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Js, MongoDB, and redis stack on a resilient AWS deployment all coordinated by Rancher, Terraform, and running on Docker. Previous experience in either Kubernetes, Docker, Terraform, Chef, Puppet, or Ansible.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Leverage scripting languages such as Python, JavaScript, or BashFamiliarity with Automation/IAC solutions such as CloudFormation, Terraform, Ansible, Puppet, and Jenkins. Create automation frameworks for AWS and Azure cloud environments, utilizing tools like CloudFormation, Terraform, and others.
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Develop and implement network automation for scale and predictability applying common languages and configuration as code such as Ansible and Terraform. Experience with Python, Go, Ansible, Terraform or comparable.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Technologies we use: Python, SageMaker, AWS cloud stack (e.g. RDS, S3, DynamoDB, lambdas, Kinesis, ECR), Datadog, Terraform, Snowflake, MySQL, and Postgres, among many others. Experience with Terraform or CloudFormation is a bonus.
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Experience with: Cloud providers such as AWS and infrastructure as code (e.g. Terraform) Relational databases, for example MySql. Jenkins and Jenkins pipelines (groovy) Github, Jira, Confluence, Slack, etc.
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Have built production grade services on cloud platforms like GCP, AWS with knowledge of Kubernetes, Terraform and other tools used in deployment pipelines, streaming services, security management, etc.
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We use Terraform to manage our production infrastructure, and deploy Docker containers to ECS. AWS CodeDeploy powers our deployments and we rely on. Pilot’s backend is written in fully typed Python 3.1 1 , and our frontend is JavaScript, TypeScript, and Vue.js.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with Kafka, Docker, Kubernetes, Spring Boot, cloud infrastructure, Terraform and CI/CD. Work in our core stack: Java / Kotlin / Microservices / Spring Boot / AWS / PostgreSQL. Experience with Kafka, Docker, Kubernetes, Spring Boot, cloud infrastructure, Terraform and CI/CD.
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Maintain and develop all infrastructure changes in terraform IAC.Collaboration. Strong knowledge of the AWS stack, especially Serverless deployments (ECS, Lambdas, EKS)Proficient with Terraform.
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Some of the technologies you’ll be working with include Apache Spark, Python, Terraform, Kafka, Azure EventHub, Vector DBs. You are well versed with infrastructure tooling such as Terraform, worked with Kubernetes, and have the SRE skill sets.
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DevOps - Docker, Github Actions, Terraform, AWS. The role requires 5+ years of Software Development experience , in-depth knowledge of Python, Django, JavaScript (React/Redux preferred) , and hands-on experience with AWS.
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Secondary: Sequelize ORM, Bull, Celery, Python, Kafka, Docker, Ansible /Terraform. You’ll meet more on the engineering team, like our CTO/COO, Lloyd Taylor, or Jonathan Chum, our Senior Director of Engineering, who can share more about Alembic and the role.
$133,200 - $179,300 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Infrastructure: AWS, Terraform, Elastic Container Service, Elastic Load Balancer, API Gateway, SQS, SNS, Step Functions. Frameworks: Flask, React, Tailwind, REST. Databases: PostgreSQL, DynamoDB, Databricks / Spark.
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terraform job in San Francisco, CA
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