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Working knowledge of DevOps tools such as Jenkins, Kubernetes, Helm and CI/CD pipeline etc. Experience of working with Spring Java applications for Kubernetes & AWS environment. Develop applications to be deployed in Kubernetes environments.
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Technical skillsets that would be required, but not limited to, are the following; Kubernetes, Docker, SDLC, CI/CD, Cloud, Microservice Design, Agile Software Development, Application Profiling, Monitoring & Observability.
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Familiarity with data storage and computing infrastructure for data of all sizes (SQL, NoSQL, Kubernetes, Spark, etc) If you're ready to take your pre-sales career to the next level, the Dataiku Sales Engineering team would like to hear from you.
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Proficient with Kubernetes and cloud native architectures also writing python and PowerShell scripts in filling gaps in automation workflows. DevOps engineering and DevSecOps standard methodologies such as: versioning and versioning control, software packaging and software release management, Securing application, Quality Gating and.
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Experience with Docker and container orchestration (Kubernetes). As a Ping Identity Senior SRE, you will be involved in every facet of our On-Demand SaaS services and will build, deploy, and maintain the infrastructure of one of the largest identity platforms in the world.
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Working knowledge of production-grade Azure PaaS services (examples Azure Kubernetes Services (AKS), Azure Container Registry, Service Mesh, etc.) Understanding of VNET, Subnet, NSG, ASG, Route Tables, Firewalls, Azure Policies etc.
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Experience with Kafka, Docker, Kubernetes, and public/private cloud infrastructure preferred. Design and develop applications to support real-time trading operations, monitoring and automation processes, and front-end systems to support the entire lifecycle of mission-critical trading system applications and to allow users to configure, deploy, and control their own production processes and pipelines.
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Our main tech stack includes Snowflake, Apache Airflow, AWS cloud infrastructure (, Kinesis, Kubernetes/EKS, Lambda, Aurora RDS PostgreSQL), Python and Typescript. Our main tech stack includes Snowflake, Apache Airflow, AWS cloud infrastructure (, Kinesis, Kubernetes/EKS, Lambda, Aurora RDS PostgreSQL), Python and Typescript.
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Establish and refine deployment patterns and tooling for use by feature development teams, targeting Kubernetes / EKS, ECS, and Lambda, running on AWS. 1+ years of experience with at least one container orchestrator such as Kubernetes, ECS, or Swarm.
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3 years of experience with DevOps tools and processes such as ADO, GitHub, Docker or Kubernetes. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things.
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Understand Cloud Native applications on Kubernetes within AWS, including monitoring through exposed APIs. Knowledgeable in Internet/Web technologies, ITIL best practices, network technologies, AWS logging (CloudTrail, CloudWatch, VPC Flow Logs), SNMP monitoring/reporting, CI/CD tools (Artifactory, Jenkins, GIT), cloud-native applications with Terraform, microservices support technologies, encryption (SSL/TLS, PKI), and software technology security controls.
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Docker and Kubernetes, REST API design pattern. Apache Spark, Apache Airflow, PySpark, AWS Glue – expert level skills. Reporting and data visualization tools like Tableau, Looker, Sisense, etc.
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Experienced with wide range of hardware and software development environments, including Microsoft, JAVA, J2EE, SOA, WS - (SOAP/REST/MICSROSERVICES), HADOOP ecosystem, Linux, RDBMS, NOSQL, ECOMMERCE, MOBILE, AWS, Docker (Swarm, Kubernetes), Elastic Search, MongoDB, Redis master/slave/sentinel, CI/CD pipeline using Jenkins, ansible, rundeck, Jfrog artifactory.
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Deploy experience via Terraform and Kubernetes. Our growth pillars emphasize the important role technology plays as the leading, global omni-channel restaurant brand. Deploy experience via Terraform and Kubernetes.
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Multiple years of experience in an AWS environment utilizing VPC, ECS, EC2, Kubernetes/EKS, S3, CloudFront, WAF. Multiple years of experience in an AWS environment utilizing VPC, ECS, EC2, Kubernetes/EKS, S3, CloudFront, WAF.
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kubernetes job in Chicago, IL
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