1 to 25 of 81 Permanent Secure Coding Jobs in Scotland

stakeholdersWrite and optimize SQL queries and data models to support reporting, analytics, and data-driven decision-making across credit risk platformsLeverage 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 standardsApply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationProduce architecture and design artifacts for complex applications, ensuring design constraints ...

scalable Contribute to shared standards, reusable templates, and common components that improve consistency and accelerate delivery across the team 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 Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification ...

usable, accessible, and scalableContribute to shared standards, reusable templates, and common components that improve consistency and accelerate delivery across the teamLeverages 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 standardsApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering ...

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 reuse of effective patterns across the team.Applies knowledge of tools within the Software Development Life Cycle toolchain, including … pragmatic solutions under time constraints.Apply structured troubleshooting to isolate root causes and resolve issues across services and data flows.Adhere to secure coding practices and engineering methodologies to deliver stable, maintainable systems throughout the SDLC.Good individual contributor, ability to work independently with minimal supervisionRequired Qualifications, Capabilities, And SkillsFormal ...

e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.Applies knowledge of tools within the Software … workflows for platform observability and analytics.Champion adoption of productivity tools through documentation, training, and engagement with the developer community.Standardize use of AI-assisted coding tools and AI-powered development ecosystems.Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such as Google ...

e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within … platform observability and analytics. Champion adoption of productivity tools through documentation, training, and engagement with the developer community. Standardize use of AI-assisted coding tools and AI-powered development ecosystems. Contribute to the design and development of AI agents and Model Context Protocol (MCP) integrations using frameworks such ...

meet non-functional requirements including security, resiliency, and performanceOwn end-to-end delivery of features across the software development lifecycle including requirements, design, coding, testing, deployment, and production support, with clear accountability for outcomesBuild modern, containerized microservices and platform capabilities, including domain modeling, data design, and secure … 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 reuse of effective patterns across the teamApplies knowledge of tools within the Software Development Life Cycle toolchain, including ...

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 reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain … pipelines, Git-based workflows, and Kubernetes deployments Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding ...

enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns Apply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities … compliance concepts, including identity and access management and audit readiness Demonstrated experience leading effective use of approved AI-assisted software development tools (for example: coding, code review, test acceleration, troubleshooting), including setting expectations to validate AI outputs for correctness, performance, and security Strong understanding of responsible ...

develop visualizations and reporting from large, diverse data sets to inform technical decisionsIdentify hidden problems and patterns in data to drive improvements in coding hygiene and overall system architectureContribute to software engineering communities of practice and participate in events exploring new and emerging technologiesFoster a team culture of diversity … equity, inclusion, and respect through active collaboration and engagementLeverages 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 ...

develop visualizations and reporting from large, diverse data sets to inform technical decisions Identify hidden problems and patterns in data to drive improvements in coding hygiene and overall system architecture Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies Foster a team … culture of diversity, equity, inclusion, and respect through active collaboration and engagement 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 ...

othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.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 standardsApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationAdds to team culture of diversity, opportunity, inclusion, and respectRequired qualifications, capabilities ...

adding and using observability tooling including logs, metrics, traces, dashboards, and alerts, and participate in incident response and root-cause analysisLeverage 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 standardsApply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationRequired skills & experienceFormal training or certification on software engineering concepts ...

using observability tooling including logs, metrics, traces, dashboards, and alerts, and participate in incident response and root-cause analysis 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 Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required skills & experience Formal training or certification on software engineering ...

stakeholders to translate business and technical requirements into scalable platform designs, and document standards, patterns, and runbooks for team-wide useLeverage 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 standardsApply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering ...

translate business and technical requirements into scalable platform designs, and document standards, patterns, and runbooks for team-wide use 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 Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification ...

enterprise‐authorized AI‐assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns Apply software development lifecycle toolchain knowledge, including enterprise‐authorized AI‐assisted development and automation capabilities … compliance concepts, including identity and access management and audit readiness Demonstrated experience leading effective use of approved AI‐assisted software development tools (for example: coding, code review, test acceleration, troubleshooting), including setting expectations to validate AI outputs for correctness, performance, and security Strong understanding of responsible ...

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 reuse of effective patterns across the team Applies knowledge of tools within the Software Development Life Cycle toolchain … Engineering, Mathematics, or a related technical field Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security Understanding ...

develop visualizations and reporting from large, diverse data sets to inform technical decisions Identify hidden problems and patterns in data to drive improvements in coding hygiene and overall system architecture Contribute to software engineering communities of practice and participate in events exploring new and emerging technologies Foster a team … culture of diversity, equity, inclusion, and respect through active collaboration and engagement 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 ...

infrastructure Produce architecture and design artifacts for complex applications, ensuring design constraints are met throughout the software development lifecycle Leverage enterprise-authorized AI-assisted coding 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 Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Drive adoption of DevOps and Site Reliability Engineering principles across ...

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 reuse of effective patterns across the teamApplies knowledge of tools within the Software Development Life Cycle toolchain, including … Computer Engineering, Mathematics, or a related technical fieldHands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and securityUnderstanding of responsible ...

development of secure, stable code and systemsContribute to a team culture of diversity, opportunity, inclusion, and respectLeverages 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 standardsApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts ...

operational excellence.Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value ...

Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve ...

service of continuous improvement of software applications and systemsIdentify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architectureContribute to software engineering communities of practice and events that explore new and emerging technologiesLeverage enterprise-authorized AI coding assist tools … speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standardsApply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value ...