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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Experience in the following domains: Directory Services (SSO/Federation, Active Directory, Azure, AWS), Identity Governance & Administration (Sailpoint IIQ, Access Certifications), Privileged Access, Client Identity and Access Management.
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Their software engineering stack looks like this: React, Redux, Ruby, Node, AWS, Linux, Elasticsearch, Cassandra, Kubernetes, Docker, and Kafka. Primarily you’ll be working on the backend of their stack with Node. JS, Ruby, and Kafka, impacting everything from the development of APIs and the user interface to the database.
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Desired Skills: Experience administering production RedHat OpenShift clustersStrong understanding of cloud APIs and interaction with the AWS/CLIExposure to Infrastructure as Code such as Puppet, Ansible, Chef, Salt or TerraformExperience working with one or more Python, Ruby, or JavaExperience with virtualization technologies (e.g. VMWare)Familiarity with HTML, CSS, Markdown, and portal development.
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Be a technical leader on our team, implementing features in TypeScript and integrating with back-end Kotlin/Java services running on AWS. 7+ years experience in at least one modern object oriented programming language (Java, C#, Ruby, etc.
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We are responsible for the infrastructure layer of the Workday Public Cloud Platform that delivers and supports Workday products across private and public clouds (e.g. on-premise, AWS, GCP, Azure.
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Familiarity with web frameworks (e.g., Django, Spring, Ruby on Rails). Experience with cloud platforms such as AWS, Azure, or Google Cloud. Proficiency in at least one backend programming language such as Python, Java, or Ruby.
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Hands on Sr. DevOps Engineer role with strong Java, Python, CICD, Ruby/Python script & AWS background. Ruby / Python script exp is a must. Ruby / Python script exp is a must.
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10-12 years of experience with minimum 4 implementations of DevOps on AWS. Practical experience designing, building, and automating solutions utilizing AWS services such as EC2, S3, RDS, KMS, Route 53, Lambda, Airflow & Client FLOW, IAM, Kinesis, ECS and API Gateway.
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Environment: Chromium, JavaScript, NodeJS, Celerity, Cucumber, Jetty, Oracle, Red Hat Linux, WebLogic/Tomcat, Apache, WCMS, API, SOLR, naVizin, Flash, Java, SVG, IIS, Linux, Adobe Captivate, HTML, PDF, COTS, Spring, Spring MVC, JDBC, CSS, Bootstrap, Thyme leaf, Restful webservice, Junit, Mockito, jQuery, EAG, Perl, Korn shell scripts, Google API, AWS Services, Python, Lambda, Aurora/PostgreSQL, Selenium, Ruby, Angular, Jenkins.
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Familiarity with back-end frameworks (such as Django, Ruby on Rails, Express, etc.) Familiarity with cloud platforms (AWS, Azure, Google Cloud) Proficiency in at least one server-side programming language (Python, Ruby, Node.js, etc.
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Engineers in this role will work on automation, development, and operations to support AWS machine learning services for US government customers. The Amazon Web Services team is innovating new ways of building massively scalable distributed systems and delivering the next generation of cloud computing with AWS offerings like RDS and Aurora.
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The AWS EC2 Images team is at the forefront of revolutionizing cloud computing by providing robust, scalable, and efficient solutions for managing virtual machine images on the Amazon Elastic Compute Cloud (EC2) platform.
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Troubleshoot and resolve software defects and issues on time. Implement new features and functionality based on product requirements. Understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes.
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Automation and validation of Ruby on Rails application, focusing on the platform areas such as security, database migrations, background job processing, email processing, microservices, SSO, etc.
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