1 to 25 of 128 Remote Continuous Integration Jobs

Asia and Japan. IT teams service client-facing business units, Operations, Finance and Risk departments using leading delivery methodologies & techniques, including Agile, Containerisation & Continuous integration, across a wide spectrum of underlying technologies. Teams provide a full range of application and infrastructure delivery services including project management, analysis, development … testing, implementation, systems integration, service management and support. Duties And Responsibilities To work closely with the Traders and Sales to build a low latency, high performance eFX electronic trading system including Real-time Pricing, Risk, Price Distribution, Algo execution and various electronic trading workflows. Excellent programming and technology skills ...

design and develop simulation components as an end to end representation of a weapon System in a synthetic environment using C#, C++ and integration simulations, supporting a number of industry standards. You will work as part of a heterogeneous agile development team, made up of mixed discipline engineers working … synergy to develop simulations and representations of real equipment. Our approach to software development includes Configuration control Continuous Integration Continuous Delivery or Deployment. Unit testing and test driven development. Skillset/experience required: Proficient in C#/C++ Microsoft Visual Studio, Eclipse, Ability to work from high ...

experienced Test Engineers with extensive full life cycle testing experience in Agile Digital (DDaT) environments. In this role you will: Maintain automated tests in continuous integration, continuous delivery (CI/CD) pipelines Use, develop and standardise reusable frameworks and tools following engineering practices and standards Analyse ...

Organisation and its customers and stakeholders. As a Specialist Site Reliability Engineer (SRE) you will: Remediate infrastructure and operational problems Leverage automation and Continuous Integration/Continuous Delivery (CI/CD); ensuring our services run reliably, are scalable, and perform optimally Monitor and manage these aspects while … reduce operational toil and improve reliability through Infrastructure as Code (IaC). Service Level Objectives & Operational Improvements Contribute to the definition, tracking, and continuous improvement of SLOs, Service Level Indicators (SLIs), and error budgets. Identify and prioritize operational improvements that align with business goals and user experience. SRE Best ...

time. Problem Solving and Troubleshooting: Investigate and resolve technical issues, troubleshoot production incidents, and implement solutions to minimise system downtime and ensure service reliability. Continuous Learning and Innovation: Stay updated on industry trends, emerging technologies, and best practices in software engineering, and apply this knowledge to improve development processes … methodologies for backend services Experience contributing to epics and participating in technical direction and implementation strategy for projects Experience with CI/CD (Continuous Integration/Continuous Deployment) pipelines and tools, automating build, test, and deployment processes Experience with cloud platforms (e.g., AWS, Azure, GCP) Experience with ...

well as server, storage, and networking hardware components common in HPC environments. DevSecOps: Proven experience with relevant DevSecOps concepts and tooling, including Continuous Integration/Continuous Delivery (CI/CD), Git SCM, Containerisation (Docker, Kubernetes), Infrastructure-as-Code (HashiCorp Terraform). Problem-Solving: Excellent analytical and troubleshooting ...

challenge of modernising complex systems to drive efficiency and long-term sustainability. Essential Key Skills and Responsibilities You will have: Good working experience with continuous integration and continuous delivery (CI/CD) AWS CodePipeline expertise CDK Experience DevOps & CI/CD (pipelines) Java microservice experience Test Driven ...

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 ...

environment. Understanding of web application security and experience implementing security measures such as authentication, authorization, and encryption. Excellent communication and collaboration skills. Experience with Continuous Integration/Continuous Delivery. ...

client, a key player within the Defence & Security sector, is seeking skilled AWS Cloud Integration Engineers to join their team on a contract basis. This role supports the creation, management, and distribution of aeronautical information within a cloud infrastructure, specifically focusing on AWS. The position is based in Malvern … Proficiency in AWS and experience with a broad range of cloud services. Strong scripting skills and automation experience using tools like Ansible. Knowledge of Continuous Integration/Continuous Deployment (CI/CD) pipelines. Advanced use of Infrastructure as Code (IaC) tools and best practices. Understanding of cloud ...

architectural principles. Always looking for ways we can improve our product, processes and practices. We don’t like friction and waste. Automated testing, continuous integration and continuous deployment. We are huge proponents of automation. Working outside of your specialism when needed. While all our team members have ...

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 ...

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 ...

broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcoreenjoys a culture of continuous learning and constant innovation. Job Summary We are looking for an individual who will own the end-to-end release management lifecycle within … processes, and standards to ensure clarity, consistency, and repeatability. Identify areas for improvement through automation, and tooling to improve efficiency and reduce risk. Implement continuous integration and continuous delivery (CI/CD) best practices. Risk & Quality Management: Identify, track, and mitigate release-related risks. Ensure compliance with ...