Looking On-site || Azure Machine Learning (ML)|| Tampa, FL (Onsite) at Tampa, Florida, USA |
Email: [email protected] |
From: Rhitik Gaur, Quantum World It [email protected] Reply to: [email protected] Hello, I hope all is well with you For the following, Quantum World IT is seeking the best consultant profile. Please respond with your most recent resume if you are considering new opportunities. Looking On-site || Azure Machine Learning (ML)|| Tampa, FL (Onsite) Role name: Engineer Role Description: Collaboration: DevOps engineers work closely with development, operations, and other cross-functional teams to bridge the gap between software development and IT operations. They ensure effective communication and collaboration between these teams. Automation: One of the key responsibilities of a DevOps engineer is to automate processes and workflows. This includes automating deployment, testing, and monitoring of applications and infrastructure. They use tools like Jenkins, Ansible, Docker, and Kubernetes to achieve automation. Continuous Integration and Deployment: DevOps engineers implement and manage continuous integration and continuous deployment (CI/CD) pipelines. They design and build scalable and efficient CI/CD workflows to enable frequent and reliable software releases. Infrastructure Provisioning and Management: DevOps engineers are responsible for provisioning and managing infrastructure resources. This may involve working with cloud platforms like AWS, Azure, or Google Cloud, as well as configuring and maintaining infrastructure as code using tools like Terraform or CloudFormation. Monitoring and Logging: DevOps engineers implement and maintain monitoring and logging solutions to ensure the health, performance, and availability of applications and infrastructure. They use tools like Prometheus, ELK stack (Elasticsearch, Logstash, Kibana), or Splunk for monitoring and analysis. Security and Compliance: DevOps engineers work closely with security teams to ensure that applications and infrastructure meet security and compliance standards. They implement security measures, conduct vulnerability assessments, and monitor and respond to security incidents. Troubleshooting and Support: DevOps engineers are responsible for troubleshooting and resolving issues related to applications, infrastructure, and deployment pipelines. They provide support to development and operations teams in identifying and resolving issues quickly. Documentation: DevOps engineers document processes, configurations, and best practices to ensure knowledge transfer and maintain a centralized repository of information. Ability to identify and prioritize the organizations functional and technical needs and requirements. Experience testing and mapping various business processes and protocols. Strong analytical skills with the ability to analyze complex data sets. Excellent communication skills with the ability to effectively communicate and influence key stakeholders to support proposed strategies, process improvements, and operational decisions. Resourcefulness and ability to devise creative solutions to problems. Competencies: Digital : Azure Machine Learning (ML) Experience (Years): 4-6 Essential Skills: Primary Skillset: Proficiency in Azure DevOps, including the management of CI/CD pipelines, repositories, artifacts, and RBAC. Extensive experience with Azure Cloud, specifically working with Azure PaaS services such as Azure app services, Azure Kubernetes Services, Azure key vaults, storage accounts, and SQL PaaS instances. Strong command of Yaml scripting for efficient automation and configuration management.Secondary Skillset: Familiarity with Rancher, a container management platform that simplifies the deployment and management of containers. Knowledge of Sonarqube, a code quality management platform that helps analyze and monitor code quality. Understanding of Veracode, a leading application security testing platform that identifies and fixes potential vulnerabilities in software. Proficiency in Blackduck, a software composition analysis tool that helps identify and manage open source components and their associated risks Please enter the following information is needed for submission and share VISA Copy and Photo id Position Applied for Candidate Full Name [As per Passport] Contact Number Primary & Secondary Email ID Current Location Passport No. Work Authorization Had ever worked with TCS in Past (Required filed) Are you comfortable for on-site Had you gotten covid vaccination doses Rate expectation Keywords: continuous integration continuous deployment machine learning information technology Florida Idaho Looking On-site || Azure Machine Learning (ML)|| Tampa, FL (Onsite) [email protected] |
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Fri Jun 14 22:54:00 UTC 2024 |