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Common data services (Dataverse) and integration to Dynamics 365 using API (Azure API Management) custom-connectors within PowerApps. Using API custom connectors and developing Microsoft Flows with Rest-API’s.
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Work closely with developers and other technical teams to provide guidance on API technologies, including API gateways such as Apigee and GCP API Gateway, and ensure smooth integration with Okta in multiple B2C and B2B scenarios considering API security and scalability.
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Strong experience with Kubernetes Container Orchestration Tool,GoLang, Gloo, AWS, Apigee API Gateway,- Experience with REST, SOAP, and GraphQL API support. Strong experience with Kubernetes Container Orchestration Tool,GoLang, Gloo, AWS, Apigee API Gateway,- Experience with REST, SOAP, and GraphQL API support.
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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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Experience implementing test automation frameworks for API, web or mobile platforms (hybrid, iOS or Android) using any test automation tools– Appium, Selenium, Web driver, Rest-Assured API, and Cucumber.
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Complete timely, work items and document project deliverables, and test completed deliverables to ensure effective deployment and usability. We are a team of forward-looking professionals in need of a strong candidate with these key required skills :Strong experience building solutions using low code technologies such as PowerApps, Power BI, Power Pages, Power Automate, and Power Virtual Agents, SharePoint online, Dynamics 365 CRM, Azure, SQL, and Dataverse.
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Familiar with API Manual of Petroleum Measurement Standards, American Gas Association Standards, Gas Processors Association Standards, industry measurement standards, current Federal CFRs pertaining to oil and gas measurement, and typical contract agreement language.
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Python, SQL, Powershell, HTML,CSS, Javascript, Node.js, Spring Framework, Restful, API Development, CI/CD. Global Identity Engineering team, has an opening for a Senior IAM Engineer to deliver and manage large, complex programs in the areas of Provisioning/De-provisioning, Role Engineering, Directory, Highly Privileged Accounts, Identity Governance and Access (IGA), Single Sign On, Analytics, API Management and access certifications.
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Must have working knowledge at a protocol level across IAM domains such as SSO, MFA, IGA, Password Management, and Privileged Access Management. Engineering experience with one or more core Identity products to include Ping Federate, Ping ID, Ping Directory, Saviynt IGA, AzureAD, and BeyondTrust.
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Familiarity with Front-end web development technologies (React, Vue.js, Angular, etc.) Develop and implement train machine learning models using Google Vertex AI and Typescript, Express. 2 + years of experience with developing microservices and implementing CI/CD pipelines via cloud computing services like (Google Cloud Platform preferred), AWS, Azure or similar.
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Hands-on experience coding in programming languages such as Golang, Java, Python, or Bash.4+ years experience with containerization tools- Kubernetes, Istio, Cluster API, Crossplane, etc. Experience working with Continuous Integration/Continuous Delivery (CI/CD) tools such as Jenkins, Ansible, Travis CI, Circle CI,API design and development exposure with Go programming languageExperience in cloud technologies like AWS, Azure or GCPSolid understanding of the Linux operating system and concepts such as virtual machines and containersActive participation in open source development.
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Experience in API Testing using tools such as SOAP UI / POSTMAN / READY API. Experience with strong background in API Manual testing and Integration testing and DB. Experience in overseeing Test Automation with one or more test automation tools and frameworks: Selenium, UFT, TOSCA, Rational Robot, etc.
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Experience in integration technologies like Boomi, Pega, MuleSoft, API / Microservices based integration. Must have extensive experience in ETL development, Data Ingestion and Data Integration using API/microservices based approach.
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Perficient currently has a career opportunity for an Azure- DevOps Lead Engineer in in our Cloud and API Development Practice. We help our clients thrive and survive in today's API economy by bringing best practices, business expertise, intellectual property, and technical knowledge to every engagement.
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Design, build, deploy machine learning models and microservices on the Google Cloud Platform. We are seeking a Full-Stack Software Engineer (Google Vertex) to join our team and transform ford.com into a customer engagement platform with modern designs and best-in-class experience.
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api job Title: test Company: Mitek Industries
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