251 to 275 of 684 Permanent Continuous Integration Jobs

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

in production. Leverage or build 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 all code is well-managed More ❯

AND EDUCATION REQUIREMENTS Minimum of 10 years of experience developing FDA/IEC regulated software. Minimum of 5 years leading and building mobile applications. Previous experience dealing with EHR integration and HIPPA compliance preferred. Relevant software development and medical device experience required. Advanced degree preferred. Proven experience in one or more of the software development methodologies as a team … leader: Agile, Scrum, Test-Driven Development (TDD), Continuous Integration/Continuous Deployment (CI/CD). Proficient in Linux including custom driver or hardware abstraction layer development to devices requiring I2C, SPI, USB, RS-232, and CSI/MIPI interfaces. Proven experience with two or more of the following programming Languages: C++, C#, Objective-C, Swift, Java More ❯

and monitor key metrics for the Platform Solutions department and take timely action to address any identified issues. Manage specialists in areas such as DevOps, overall code architecture, infrastructure, continuous integration/continuous deployment (CI/CD), Agile process and delivery. Define, communicate and uphold SLAs, SLOs, and SLIs between Platform and Solutions teams that depend on … challenges and help them implement new technical capabilities. Enable Solutions teams to become technically self-sufficient by transferring knowledge, providing simple to use tooling and fostering a culture of continuous improvement. Collaborate closely with Solutions teams to embed new and improve existing practices (where needed) and solve problems together. Provide hands-on guidance, training, and coaching to help Solutions … towards this being managed as part of each solution (post "isolation"). Develop and refine processes to enhance platform efficiency and effectiveness. Promote data-driven decision making and drive continuous improvement. SKILLS & QUALIFICATIONS Strong technical background in, or significant exposure to, Agile software engineering. Proficient in managing conflicting business priorities. A strategic and resourceful attitude to problem solving, process More ❯

ITOM/ITAM, CSM, ATF, DevSecOps, Service Portal, HR Module, Change Management, Custom Development, etc. • Develop and unit test, hold code reviews, and help to build the pipeline for continuous integration/continuous delivery. • Customize ServiceNow applications and facilitate roll out of new applications and modules and configure application UI, workflow, and API. • Create, maintain configuration management … and validations (e.g., ISO 9000). • Provide group facilitation, interviewing, training, and additional forms of knowledge transfer. • Act as key coordinator between multiple project teams to ensure enterprise-wide integration of re-engineering efforts. • Champion awareness training and implementation of business processes. • Develop process documentation, testing, workflows, and work plans. • Lead and/or participate in requirements presentations to … to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your More ❯

of Spring framework or equivalent. Knowledge of software design patterns and when to apply them Excellent knowledge of development processes. Experience of containerisation using Docker or Kubernetes Experience of Continuous Integration (CI) and Continuous Delivery (CD) A passion for delivering quality code, by use of TDD and setting high software quality standard We re also using the More ❯

of Spring framework or equivalent. • Knowledge of software design patterns and when to apply them • Excellent knowledge of development processes. • Experience of containerisation using Docker or Kubernetes • Experience of Continuous Integration (CI) and Continuous Delivery (CD) • A passion for delivering quality code, by use of TDD and setting high software quality standard We’re also using the More ❯

and SOWs. • Provide recommendations and thought into existing business processes to ensure optimum efficiency. Technical Insight: • Experience working with DevOps tooling • Infrastructure as Code – HashiStack (Terraform, Vault, Consul etc..) • Continuous Integration practices and Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP More ❯

and SOWs. • Provide recommendations and thought into existing business processes to ensure optimum efficiency. Technical Insight: • Experience working with DevOps tooling • Infrastructure as Code – HashiStack (Terraform, Vault, Consul etc..) • Continuous Integration practices and Continuous Deployment/Delivery • Containers – Docker, Kubernetes etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP More ❯