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Hands-on experience with Docker and Kubernetes. Hands-on experience using Maven, Jenkins, Git, JUnit. The Principal Data Engineer will be a part of Big Data team and responsible for developing batch or event-driven data pipelines in the cloud (AWS) while improving the reliability, security, resilience, and performance of the Big Data pipeline.
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The Principal Engineer will bring knowledge of software development using Java and Spark technologies and contribute to daily operations including CI/CD. 8+ years developing backend services with Java/ Scala/Python.
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Java development and build environments to include Eclipse, Intellij, Gradle and Maven. Experience with Cloud Native and Kubernetes Orchestration environments and containerization. Docker and/or Kubernetes.
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You have experience with most of our technology stack: Java, Spring, Maven, Gradle, Angular, Kotlin, Cloud Deployments, Docker, Kubernetes and Swift. You have experience with most of our technology stack: Java, Spring, Maven, Gradle, Angular, Kotlin, Cloud Deployments, Docker, Kubernetes and Swift.
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8 years of experience in the following languages: Java, J2EE, HTML5, JavaScript, JQuery, AJAX, CSS3, Bootstrap, SASS, Angular, Typescript, Spring, Java Server Pages, JSON, XML, ES5/ES6, NPM, Maven and/or other UI frameworks/libraries.
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Design pattern, maven, php, senior, senior software engineer. Familiarity with asynchronous communication, bonus if familiar with Kafka specificallyExperience developing on top of Kubernetes or similar distributed systems.
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Write and promote architecture strategy for maven, Gradle, Spring Boot, go projects across all of development. Working with CI/CD, DevOps, GitLab and Docker / Kubernetes. Write and promote architecture strategy for maven, Gradle, Spring Boot, go projects across all of development.
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Job Requirements- 3+ years in Systems or Software EngineeringAt least 2 of those years working in-depth on two or more of our core tech stacks:- Azure (Virtual Networks, DataBricks, Virtual Machines, Applications, ARM)- DevSecOps (Azure Pipelines, SonaType Nexus, SonarQube, K6, Cypress)- Kubernetes (CoreDNS, Ingress Controllers, Stateful Sets, Deployments, Custom Resources, Helm)Our product engineering teams use a variety of technologies, and experience with any of them is a plus:- Python.
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Skills: AWS / AZURE / GCP, Python, Linux, Puppet / Chef / Ansible, Terraform, Docker/ Kubernetes, CI /CD (Automation, Metrics), Observability (Datadog / Dynatrace / Sysdig / Aqua), SEIMIn this role, you can expect to:Work with engineering teams to propose features that solve recurring patterns of customer complaintsDesign and implement scalable, secure, distributed, fault-tolerant systems that satisfy sophisticated requirements.
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Summary:As a Senior DevOps Engineer in the Tools and Technology team, this position will provide architectural strategy surrounding Pivotal Cloud Foundry, Kubernetes, Application Modernization, Cloud Workload Migrations, and the implementation of cloud-based platform solutions.
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A working understanding of continuous integration technologies (such as Jenkins, Bamboo, Maven, Gradle, Gerrit, Git, etc) and other DevOps tools and best practices. Experience with cloud services (AWS, Azure, GCP) and Kubernetes deployment within these environments.
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Experience in Design, Build, and Maintain Java Microservices, RESTful APIs inDocker-Kubernetes-Openshift Container Platform (OCP4). ¿ Expertise in creating Automation Framework, Automation Scripts, Feature files, Step Definitionsand enhanced test scripts/scenarios using Java, Selenium, WebDriver/Grid, Junit/TestNGAnnotations, BDD/Cucumber, Maven & Jenkins Integration (CI/CD) as part of Behaviour DrivenDevelopment (BDD.
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Knowledge in DevOps processes, continuous integration and delivery pipelines (Maven, Jenkins, Stash, Ansible, Docker) Microservices, Java Streams, JPA, Cucumber, Maven, Swagger, Oracle SQL.
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Candidate must be well versed with Building tools(Maven and Graddle), Container and orchestration Technologies like (Docker and Kubernetes), Monitoring tool. With 5+ years of experience, candidate must be well versed with Building tools(Maven and Graddle), Container and orchestration Technologies like (Docker and Kubernetes), Monitoring tool.
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Skilled in automating infrastructure and workflows using tools like Terraform and Kubernetes Config Connector (KCC). Proficient in Jenkins, Maven, Git, Ansible, or CHEF for continuous integration and deployment.
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