176 to 200 of 503 Secure Coding Jobs in the UK

About the Role Are you a software engineer who is passionate about building secure applications with an interest in moving into application security? Do you enjoy collaborating with engineering teams to drive practical, secure-by-design solutions that reduce risk and improve delivery outcomes … practices to stakeholders Requirements Experience in application security, software engineering, or product security Knowledge of application security principles, common vulnerabilities, and secure coding practices across multiple technology stacks 5+ years of application security, software engineering, or product security experience. BS Engineering/Computer Science or equivalent experience ...

hands-on role where you'll work closely with software engineering teams to identify vulnerabilities, improve security throughout the SDLC and build secure-by-design solutions. What you'll be doing Conduct threat modelling, risk assessments and security architecture reviews Assess security across cloud and Kubernetes/… container environments Embed SAST, DAST, SCA, SBOM and secret scanning into CI/CD pipelines Perform security code reviews and provide secure coding guidance Define security requirements and support engineering teams with secure-by-design practices Drive vulnerability management, particularly across Kubernetes and container images ...

help drive engineering practices across the team and with research partnersContribute 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 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 ...

responsibilities Execute software solutions, design, development, and technical troubleshooting Create secure, high-quality production code and maintain algorithms Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity Validate outputs through peer review, automated testing, and secure coding standards … artifacts for complex applications Ensure design constraints are met during software code development Identify hidden problems and patterns in data to drive improvements Enhance coding hygiene and system architecture Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and advanced applied experience Strong hands ...

updated with the latest industry trends and best practices in mobile development.Drive continuous improvement initiatives to enhance development processes and workflowsLeverages 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 ...

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 … high quality deliveryUnderstanding of how to effectively utilize unit testingDemonstrated 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 of responsible ...

feature flags, backward compatibility, and rollback plans.Learn LLM serving fundamentals — tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency.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 ...

security program — spanning infrastructure, product, and compliance. You’ll work closely with engineering, operations, and leadership to ensure we’re not only secure, but demonstrably so to our customers. Responsibilities: Take ownership of existing security tooling and implement new ones (e.g. endpoint protection, MDM, access controls), ensuring they … effectively configured, maintained, and scaled as the business grows Embed secure-by-design practices into the development lifecycle — from secure coding and threat modelling to design reviews and CI/CD hardening Monitor systems for irregular behaviour and proactively design detection and prevention mechanisms Ensure ...

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 … quality delivery Understanding of how to effectively utilize unit testing 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 ...

backward compatibility, and rollback plans. Learn LLM serving fundamentals — tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. Leverage 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. Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve ...

backward compatibility, and rollback plans. Learn LLM serving fundamentals - tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. 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 ...

backward compatibility, and rollback plans. Learn LLM serving fundamentals - tokenization costs, KV cache, quantization, context length tradeoffs, throughput vs. latency. 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 ...

embed AI capabilities into production systems.WHAT YOU'LL BE DOING:Lead development of secure, scalable backend and frontend systems.Define architectural direction, coding standards, and development best practices.Plan and deliver features collaboratively with product, design, and cross-functional teams.Mentor engineers, conduct code reviews, and guide technical decision-making.Improve … experience, including technical leadership.Expertise in Java/Kotlin, Spring Boot, REST APIs, and MongoDB.Experience with ReactJS, JavaScript, and TypeScript.Strong understanding of secure coding (e.g., OWASP principles).Strong experience with CI/CD, Git workflows, automated testing.Experience leading AI feature development or integrating ML models into production systems.Career ...

MissionWe are looking for a Senior Software Engineer to join the Digital Excellence Centre (DEC) UK. You will help design, build and support secure, maintainable software products and reusable components that improve performance, decision-making and delivery across the business and for our clients. This is a hands … Experience with automated testing and CI/CD Experience working with relational databases Familiarity with database and caching technologies Understanding of secure coding and modern authentication and authorisation Experience delivering software in cloud-hosted environments, e.g. Azure Ability to work effectively across a mixed technology estate Strong ...

NestJS and API-driven architectures Contribute to micro frontend and modular application design Improve software quality through automated testing, CI/CD, and secure development practices Collaborate with engineers, architects, and product teams to deliver robust solutions Mentor developers and share knowledge across the team Leverage AI-assisted … backend technologies Strong understanding of the full software development lifecycle Experience with CI/CD pipelines and automated testing Knowledge of secure coding practices and resilient application design Excellent communication and stakeholder collaboration skills Previous mentoring or leadership experience Desirable Experience: Micro frontend architecture and module federation ...

improve the team and productsEngage with communities of practice across Software Engineering to learn about and adopt new and emerging technologiesLeverage 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 automationAdd to team culture of diversity, opportunity, inclusion, and respectRequired Qualifications ...

breakdown technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsLeverages 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 realized ...

build and embedding security into the heart of how we design, write, and ship software.You will define and drive our approach to secure development: setting threat modeling strategy, owning security architecture and secure code reviews, and designing the controls that live inside our SDLC. Just … action.Partner with engineers and product owners to embed security pragmatically into design, development, and release, supporting teams without becoming a blocker.Provide secure coding guidance and clear documentation that helps teams understand risk and apply secure development practices independently.Level up CAIS's security capability across ...

team and products Engage with communities of practice across Software Engineering to learn about and adopt new and emerging technologies 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 Add to team culture of diversity, opportunity, inclusion ...

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 … industry and its technology systemsPractical cloud-native 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 ...

practices (access controls, secrets management, lineage/metadata, auditing). Create clear documentation for pipelines, data contracts, and operational runbooks. 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, skills and capabilities Experience with building data ...

environment, building and maintaining their deployment pipelines, and keeping the platform observable, secure, and cost-efficient.You will make active use of AI coding assistants to accelerate infrastructure and automation work. While ownership of the security posture, disaster recovery, business continuity, and incident response sits with the Head … Tables, and Cosmos DB. Develop and maintain CI/CD pipelines for automated build, test, and deploymentacross all environments. Make effective use of AI coding assistants (e.g. GitHub Copilot) to accelerate thecreation of pipelines, IaC templates, and automation scripts. Monitor infrastructure performance, cost, and security across environments,troubleshooting issues ...

process Investigate and resolve production defects, and trace root cause when symptom and source are not in the same place Apply secure coding practices, surface vulnerabilities in code reviews, and fix security issues as they arise Review code from other engineers with the same rigor you expect ...

software engineer who is passionate about building secure applications with an interest in moving into application security Do you enjoy collaborating with engineering teams to drive practical, secure-by-design solutions that reduce risk and improve delivery outcomes About the RoleAs a Senior Application Security Engineer … standards, and best practices to stakeholdersRequirementsExperience in application security, software engineering, or product securityKnowledge of application security principles, common vulnerabilities, and secure coding practices across multiple technology stacks5+ years of application security, software engineering, or product security experience.BS Engineering/Computer Science or equivalent experience required.Understanding ...

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 … work across engineering, product, and data science disciplinesHands-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 ...