51 to 75 of 207 Secure Coding Jobs in the UK excluding London

line with firm-wide public cloud standards Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging cloud technologies Leverages enterprise-authorized AI coding … 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 ...

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 ...

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 … frameworks and reusable components Experience leading Agile, self-managing teams Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding ...

skills for the development of secure, stable code and systemsAdds to 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 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 automationRequired qualifications, capabilities, and skillsProven production oriented software engineering experienceHands ...

queries and application logic for better scalability and response times. Expertise in modern engineering standards such as TDD, contract testing, and secure coding, as well as architectural patterns like event-driven architecture and platform migration. Experience providing technical subject matter expertise to shape bids and client proposals. ...

services.Establish evaluation and quality controls for accuracy, groundedness, citation quality, hallucination risk, agent task success, latency, cost, reliability, and business value.Successfully implement development processes, coding best practices, code reviews, MLOps practices, and responsible AI controls.Apply AI-assisted development tools to reduce software development cycle time and support code explanation … services, security controls, logging, monitoring, and production support.Strong understanding of SDLC practices, including requirements analysis, design, implementation, automated testing, code review, secure coding, deployment, and production support.Strong understanding of responsible AI practices, including evaluation, traceability, secure data handling, model governance, human oversight, and risk management.Ability ...

development of secure, stable code and systems Adds to team culture of diversity, opportunity, inclusion, and 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 Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Proven production oriented software engineering ...

deliver scalable outcomes Create secure, high-quality production code and maintain algorithms that run synchronously with appropriate systems 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 Produce architecture and design artifacts for complex applications while ...

line with firm‐wide public cloud standards Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging cloud technologies Leverages enterprise‐authorized AI coding … 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 ...

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 ...

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 … frameworks and reusable components Experience leading Agile, self-managing teams Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding ...

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 ...

reporting from large, diverse data sets to drive continuous improvement of software applicationsProactively identify hidden problems and patterns in data, using insights to improve coding hygiene and system architectureContribute to software engineering communities of practice and events that explore new and emerging technologiesLeverage enterprise-authorized AI coding assist … 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 ...

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 ...

Leadership & ComplianceDrive adoption of standards such as ISO/IEC 27001 and IEC 62443 and ensure alignment with the Cyber Resilience Act.Architecture & DesignDefine secure architectures for embedded systems, mobile apps, and cloud platforms, including identity, secrets, data protection, and zero‐trust patterns.Specify embedded security controls (secure …/CD pipelines (SAST, DAST, SCA, container/IaC scans, SBOM) and define release gates.Maintain security workflows and coach engineers on secure coding and threat‐driven design.Validation & Supplier EngagementSupport V&V, penetration testing, and remediation, and manage security alignment with suppliers.Compliance & DocumentationOwn the security compliance dossier, including ...

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 ...

workflow Participate in code reviews: read your teammates’ code, receive feedback on yours, and learn the codebase through both activities Follow secure coding practices, triage security issues when they arise, and apply fixes to deliver secure applications Contribute to technical documentation for the systems ...

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 teamApply knowledge of tools within the Software Development Life Cycle toolchain, including … software engineering concepts and advanced applied experienceHands-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 ...

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 Apply knowledge of tools within the Software Development Life Cycle toolchain … software engineering concepts and advanced applied experience 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 patternsApply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation capabilities … compliance concepts, including identity and access management and audit readinessDemonstrated 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 securityStrong understanding of responsible AI use in engineering workflows ...

sets to develop visualizations and reporting that drive continuous improvement of software applicationsProactively identify hidden problems and patterns in data, using insights to improve coding hygiene and system architectureContribute to software engineering communities of practice and events that explore new and emerging technologiesLeverages enterprise-authorized AI coding assist … 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 ...

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 … needs.Ability to self-drive delivery and take ownership end to end.Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and securityStrong understanding of responsible ...