176 to 200 of 638 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 ❯

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 ❯

source code management. Understand how to clone repositories, commit changes, push and pull code, and create branches. Familiar with GitHub 5. CI/CD Concepts Basic understanding of what Continuous Integration (CI) and Continuous Deployment (CD) are. Awareness of tools like Jenkins, GitHub Actions, or Azure DevOps, even if not deeply experienced. Understand how code goes from 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 ❯

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 ❯

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 work confidently with C-level executives and global stakeholders. Key Responsibilities Lead the technical direction for enterprise-grade software platforms with a strong focus on cloud and AI integration Collaborate with product leadership to align engineering priorities with business strategy and user needs Review architecture, design, and code to ensure high-quality, scalable, and maintainable solutions Mentor and … develop engineering talent (team of 30+ engineers), promoting a culture of accountability, innovation, and continuous improvement Drive adoption of modern software practices including DevOps, continuous integration, and continuous delivery Partner with executives to influence technology strategy and key investment decisions Introduce and embed AI and machine learning capabilities to improve products and user experiences Build and … AI-driven enterprise software and lead a team that is responsible for delivering solutions used globally. You will have a direct impact on product strategy, cloud adoption, and AI integration, all while working in a high-performing and supportive environment. 5V Tech are acting as an Employment Agency for the purposes of this job vacancy. We offer a reward More ❯

an out-of-the-box thinker equally comfortable performing installs, patches, upgrades, and troubleshooting for servers as they are building new infrastructure servers or solving complex problems related to Continuous Integration/Continuous Development (CI/CD) pipelines. This position is located at NAVAIR Station Pax River in St. Mary's County, MD and requires daily on … Maintaining, administering and patching systems for optimum performance and security Migrating or updating systems Responding to system failures promptly to bring applications back online Building new infrastructure servers Performing Continuous Monitoring actions for systems and infrastructure including scanning, DoD STIG application and other Cyber compliancy actions Updating and maintaining documentation and knowledge base, including system descriptions, procedures, events and More ❯

that can be streamlined or automated § Good team player and communication skills § Experience with agile development methodologies with Test Driven Development (TDD) § Experience with Jenkins Setup CI/CD (Continuous Integration/Continuous delivery More ❯

that can be streamlined or automated § Good team player and communication skills § Experience with agile development methodologies with Test Driven Development (TDD) § Experience with Jenkins Setup CI/CD (Continuous Integration/Continuous delivery More ❯

and requirements into valuable technical features and user stories that will shape product development and technical delivery •Leverage your understanding of IT Delivery Frameworks and DevOps practices to facilitate continuous integration and continuous deployment (CI/CD) pipelines, ensuring smooth and efficient delivery Conduct system and data analysis to identify improvement areas and pain points which will More ❯

system Work with talented teams of engineers, architects, and leaders in an Agile environment What You Will Learn A breadth of advanced software technologies and techniques Modern DevSecOps and Continuous Integration/Continuous Delivery techniques Software lifecycle practices for large-scale defense project Additional Job Details: Qualifications We Prefer Experience upgrading complex hardware and software systems Experience More ❯

IP, Subnetting, etc.). Understanding and deployment based on Security Principals and Security Best Practices. Experience in working with baselines and understanding good engineering and release practices. Experience with continuous integration and continuous deployment. Experience in containerization. Technical degree or equivalent education and experience. Work Environment Remote working usually. Travel can be required, this is part of 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 ❯