151 to 175 of 504 Continuous Integration Jobs

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

handle our current and future scale • Debug production issues • Participate in development planning and prioritization of work for the Identity team • Create and maintain continuous integration and continuous deployment processes to rapidly ship features and fixes • Participate in the professional development and growth of a world-class … direct reports on Identity software engineering initiatives What you ll need: • Ability to lead others and resolve team issues with limited guidance • Desire for continuous growth and comfort with autonomy • Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts • Attention to details and keep ...

Seeking a DevOps Engineer who: Has experience with Agile practices developing software in a Continuous Integration/Continuous Development (CI/CD) environment Solves complex problems that require the regular use of ingenuity and creativity Makes sound decisions that achieve critical organizational objectives Facilitates discussions to improve ...

containerization, and orchestration tools (Docker, Kubernetes, etc. Strong understanding of cloud cybersecurity standards and best practices. Expertise in designing, implementing, and maintaining Continuous Integration and Continuous Delivery (CI/CD) pipeline solutions. Expertise in developing automation capabilities using Jenkins and GitHub Actions. Demonstrated success in leading complex ...

deployment, operation, and monitoring of our cloud-based applications. Collaborate with development and operations teams to define and implement best practices for software delivery, continuous integration, and continuous deployment (CI/CD). Develop and maintain scalable and efficient infrastructure using AWS services such ...

deployment, operation, and monitoring of our cloud-based applications. Collaborate with development and operations teams to define and implement best practices for software delivery, continuous integration, and continuous deployment (CI/CD). Develop and maintain scalable and efficient infrastructure using AWS services such ...

deployment, operation, and monitoring of our cloud-based applications. Collaborate with development and operations teams to define and implement best practices for software delivery, continuous integration, and continuous deployment (CI/CD). Develop and maintain scalable and efficient infrastructure using AWS services such ...

security of services within telecommunications and a managed service provider (MSP) environment. The Responsibilities * CI/CD Pipeline Management: Design, implement, and manage continuous integration and continuous delivery (CI/CD) pipelines for all platforms, enabling rapid and reliable software releases. * Infrastructure as Code (IaC): Develop ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

Security Clearance (Post-Start) 3+ years of experience leading projects and/or individuals in software development lifecycle tasks Experience working in Continuous Integration and Continuous Development (CI/CD) using appropriate code versioning, build and test automation tools Experience/proficiency with Java Preferred Qualifications (Desired ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...

cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure ...