101 to 125 of 380 Secure Coding Jobs in London

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 … 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 ...

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 … 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 ...

fitContribute to communities of practice across software engineering by sharing knowledge, supporting adoption of modern technologies, and promoting engineering best practicesLeverage 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 automationSupport a team culture that values diversity, opportunity, inclusion, and respectRequired ...

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 … experience Proven experience as a software engineer, including proficiency in at least one programming language such as Python, Go, or Java. Demonstrated experience designing, coding, testing, and delivering software in at least one technology stack. Strong debugging and troubleshooting skills across distributed systems. Demonstrated experience as a Site Reliability ...

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 … provider, such as Google Cloud, Amazon Web Services, or Microsoft AzureDemonstrated 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 ...

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 … such as Google Cloud, Amazon Web Services, or Microsoft Azure 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 ...

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 … promptly addressing customer needsExcellent written and verbal communication skills in EnglishDemonstrated 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 ...

Java, C++, TypeScript/JavaScript, or similar.6+ months of relevant, post-college work experienceExperience developing secure applications, including applying secure coding practices, vulnerability management, access controls, permissions, and privacy considerations throughout the software development lifecycle.To apply, submit the following:An updated resume/CV - please ...

governance of approved AI-assisted engineering practices across teams to improve code quality and delivery outcomes, while setting measurable validation standards (secure coding, peer review, automated testing) and encouraging reuse of proven patterns within the SDLC/TLM toolchain. Acts as a function-wide subject matter expert … programming language(s) including Python Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 ...

experiences. You’ll work on projects that leverage cutting-edge technologies such as microservices, event-driven architectures, and cloud platforms, contributing to scalable, secure, and high-performing systems. Your responsibilities Develop and maintain backend services using Java, Spring Boot, and Spring Security. Design and implement microservices and event … Gatling and JMeter. Knowledge of system monitoring tools like New Relic and Grafana. Experience in shell scripting for automation. Understanding of secure coding practices and Spring Security. Exposure to AI development tools and workflows. #J-18808-Ljbffr ...

develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants.Identify opportunities to automate and remediate recurring issues, improving overall system reliability.Design experiments, implement algorithms, validate results, and productionize scalable and trustworthy AI/… adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.Establish consistent validation standards, including secure coding, peer review, automated testing, and promote reuse of effective patterns.Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized ...

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 … applications using SQL and NoSQL databases.Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 ...

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 … using SQL and NoSQL databases. Demonstrated experience leading effective use of enterprise‐authorized AI‐assisted software development tools within the work environment (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 ...

support of continuous improvement of software applications Proactively identify hidden problems and patterns in data, and use these insights to drive improvements to coding hygiene and system architecture Develop subject matter expertise in a specific technical domain relevant to Data Center Services (e.g., UI/UX, backend architecture, software … groups through facilitation, guest speaking, or content contribution Mentor junior software engineers and actively support their technical growth and development 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 ...

develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants. Identify opportunities to automate and remediate recurring issues, improving overall system reliability. Design experiments, implement algorithms, validate results, and productionize scalable and trustworthy … enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. Establish consistent validation standards, including secure coding, peer review, automated testing, and promote reuse of effective patterns. Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized ...

develop secure, high-quality production software systems using Java or Python, integrating AI/ML techniques such as LLMs, Generative AI, and coding assistants. Identify opportunities to automate and remediate recurring issues, improving overall system reliability. Design experiments, implement algorithms, validate results, and productionize scalable and trustworthy … enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. Establish consistent validation standards, including secure coding, peer review, automated testing, and promote reuse of effective patterns. Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized ...

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 ...

engineering practices across the team and with research partners Contribute to a 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 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 ...

latest industry trends and best practices in mobile development. Drive continuous improvement initiatives to enhance development processes and workflows 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 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 … Orchestration tools (Airflow, Temporal) Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 ...

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 ...

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 … operational stabilityAdvanced Java and Typescript experienceDemonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 ...

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 … environments and working with ambiguity Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 ...