301 to 307 of 307 CI/CD Jobs in Scotland

risk platforms Leverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards Apply knowledge of tools within the Software … generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Experience writing and optimizing ...

enterprise‐authorized AI‐assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‐assisted code review / refactoring, test strategy acceleration, incident / root‐cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred Qualifications, Capabilities, and Skills ...

impact role in the Cloud Advisory capability unit contributing to our leadership in cloud transformation across our clients in different industry sectors.As a Consultant / Senior Consultant – Cloud Operating Model Transformation, you will support clients in designing, assessing and evolving cloud operating models that are automation-first … opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:· Business Development – Leading / contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.· Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations ...

enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident / root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting … generated outputs for correctness, performance, and security Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs / outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices Preferred qualifications, capabilities, and skills ...

respect Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation / refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards Applies knowledge of tools within the Software Development … modern programming languages and database querying languages Solid understanding of the Software Development Life Cycle Working knowledge of agile methodologies such as continuous integration / continuous delivery, application resiliency, and security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, artificial intelligence ...

more modern programming languages and database querying languages Solid understanding of the Software Development Life Cycle Familiarity with agile methodologies such as continuous integration / continuous delivery, application resiliency, and security Knowledge of security applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile ...

peers across the team Drive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration / continuous delivery quality checks, test and validation automation, and operational readiness), ensuring traceability, auditability, resiliency, and security controls Use enterprise-authorized AI capabilities within … with hands-on experience conducting resiliency design reviews and implementing resiliency best practices Fluency in at least one programming language such as Python, Java / Spring Boot, or .NET Proficient knowledge and experience in observability, including white and black box monitoring, service level objective alerting, and telemetry collection across ...