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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Significant experience working with AWS (highly preferred), Azure or Google Cloud Platform. Streamline and manage a growing AWS cloud infrastructure, including the evaluation of new technologies to solve extant problems.
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Java, Kafka, Docker, Kubernetes, DB2, CyberArk, Harness, JIRA, Jenkins, Splunk, Confluence, Git, JSON, API Testing, Cucumber, Selenium, Terraform, Ansible, Veracode, Virtualan, UC4 , Change Data Capture, Docker, AWS / Google / Azure Cloud, Open API/Swagger, SOAP Web Service(JAX-WS), Restful Web Service (JAX-RS), Apache-CXF, Spring-Core, Spring WS, Spring Transaction, Spring-Integration, JDBC, Shell Scripting, XML, JavaScript, SQL, Python, JMeter, Gatling, Perl, PowerShell.
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You've worked with Python, Java, Spring Boot, Typescript, Docker/Kubernetes, Postgres, or any of the cloud-native database technologies. At least 12+ years' experience in providing technical direction and leadership for software engineering and development, including at least 3+ years' experience developing, deploying, and scaling cloud-native software components on cloud providers such as AWS or Google Cloud.
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While we are technology agnostic and believe in using the right tools for a given challenge, we are experts in cutting-edge frameworks and platforms, such as Flutter/Dart, Google Cloud Platform/AWS/Kubernetes, Python/Django, and Terraform, to name very a few.
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Experience: AWS, Azure, Google Cloud, IBM Cloud or Oracle Cloud. installing, configuring, maintaining, and troubleshooting Docker, Kubernetes, Microservices Architecture, Solr, OpenSearch, Hadoop, Spark, Databricks, Airflow, NiFi.
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6+ years technical engineering experience with building large scale distributed systems using, but not limited to Golang, Java, Python, containers and container orchestration systems (such as Docker, Kubernetes, Apache Mesos), infrastructure as code (such as Terraform), databases (such as Postgres, data sharding), and Cloud Platforms (such as Microsoft Azure, Amazon Web Services, Google Cloud Platform.
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Terraform, Ansible, Kubernetes. Implement virtual machines in the cloud using AWS CloudFormation or Terraform. Experience with cloud platforms such as AWS, Azure or Google Cloud Platform.
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Experience with GCP products like Cloud run, Cloud Data fusion, Apigee, Cloud pub-sub-Alloy DB and Google Kubernetes engine. Experience in cloud technologies like Kubernetes, Docker etc.
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2+ years in at least one of AWS, Azure, Google Cloud Platform Integration. 2+ years AWS, Azure, or Google Cloud Platform. PROJECT: Individual will be working with a large team in building a new Kubernetes platform service to support UHGs multi-cloud modernization strategy.
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Design, architect, and implement defensive security controls across Palantir's multi-cloud multi-tenant SaaS infrastructure based on Kubernetes, OpenShift and several other popular open-source technologies.
$145,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with automation technologies, Terraform, Google Cloud Deployment Manager, and/or SnoarQube. Experience building hybrid-cloud solutions based on VM and containerization technologies, such as Docker, Kubernetes, Cloud Pub/Sub, Cloud SQL, Datastore, Google Distributed Cloud, Cloud Run, Cloud Functions, ML/AI, Snowflake, TerraData etc.
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Experience with cloud-based database services (e.g., AWS RDS, Azure SQL Database, Google Cloud Spanner) and containerization technologies (e.g., Docker, Kubernetes). Knowledge of DevOps practices and automation tools for database deployment and management (e.g., Ansible, Terraform.
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Hands-on experience with cloud automation and orchestration tools (e.g., Terraform, Ansible, Kubernetes) and scripting languages (e.g., Python, PowerShell). In-depth knowledge of cloud computing principles, platforms (e.g., AWS, Azure, Google Cloud), services (e.g., IaaS, PaaS, SaaS), and architectural best practices.
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Experience with public cloud service providers (e.g. Amazon AWS, Google GCP, Microsoft Azure). Experience with infrastructure automation platforms (e.g. Packer, Terraform, Ansible, Puppet etc.
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