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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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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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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.
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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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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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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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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 DevSecOps principles and tools, for example, CI/CD, IaC, CaC, SaC, Gitlab, Terraform, Ansible, Kubernetes, Docker. Experience with DevSecOps principles and tools, for example, CI/CD, IaC, CaC, SaC, Gitlab, Terraform, Ansible, Kubernetes, Docker.
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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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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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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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You know how to write high quality IaC (ideally Terraform) to manage well architected production-ready Infrastructure. You will take an active role in infrastructure architecting, deployment strategy design, and implementation end-to-end (from Terraform to GitHub Actions Pipelines to custom Lambdas and so on), collaborating closely with our talented developers.
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Experience with IaC using Terraform. On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes.
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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 Alameda, CA
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