126 to 150 of 361 Secure Coding Jobs in London

e.g. AI-assisted code review/refactoring, text 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 … qualifications, capabilities & skillsFormal training or certification on software engineering concepts and applied experienceRecent hands-on professional experience as a back-end software engineerExperience in coding in a recent version of the Java programming languageExperience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)Excellent ...

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 …/JVM ecosystem, Spring boot frameworkExperience of TypeScript/React developmentDemonstrated 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 ...

adherenceSupport runtime security tooling for production risk visibility and contribute to incident response activities including triage, investigation, and runbook 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 … 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 ...

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 … stakeholdersExperience with Agile development methodologiesDemonstrated 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 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 … ecosystem, Spring boot framework Experience of TypeScript/React development 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 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 with Agile development methodologies 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 ...

continuous improvement of software applications and systems Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture Contribute to software engineering communities of practice and events that explore new and emerging technologies Add to team culture of diversity … opportunity, inclusion, and respect 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 ...

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 … Advanced Java and Typescript experience 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 ...

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 ...

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 … Must also be familiar with developing solutions in a containerized environmentDemonstrated 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 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 toolchainLeverages agentic development pipelines to build solutions … more programming language(s)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 ...

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 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 … methodologies such as CI/CD, Application Resiliency, and Security. 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 of responsible ...

learning, and technical excellence. Our teams include Product Managers, Scrum Masters, QA Engineers, and fellow Software Engineers, all working together to build reliable, secure, and impactful solutions. Key ResponsibilitiesDeliver high‐quality, scalable software using modern front‐end and back‐end frameworks Lead by example in applying engineering best … proactively resolve system errors, improving observability and reliability Mentor engineers across the team and contribute to knowledge‐sharing initiatives Ensure secure coding practices and respond to security‐related issues Communicate effectively with both technical and non‐technical stakeholders What will you need to succeed Essential SkillsProficiency ...

Security Architecture & Engineering Lead forms the technical heart of PCI Pal’s Information Security function. The role owns cloud architecture review, DevSecOps and secure SDLC practice, security automation and tooling, and security architecture strategy for the organisation, replacing reactive, post-deployment triage with design-stage security input across … development tooling. Experience building security automation, API integrations, test harnesses or internal engineering tools, using source control, peer review, testing and secure coding practices. Experience threat-modelling applications and cloud workloads at the design stage, not just reviewing them after deployment. Working knowledge of PCI DSS v4.0.1. ...

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 … direct reports Ability to tackle design and functionality problems independently 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 Apply knowledge of tools within the Software Development Life Cycle toolchain … direct reports Ability to tackle design and functionality problems independently 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 ...

Vue.js desirable) - AWS cloud services - Docker and CI/CD pipelines - Jenkins, GitLab or equivalent DevOps tooling - PostgreSQL - SOLID principles and secure coding practices - Experience leading development teams, code reviews and mentoring engineers Desirable Skills - Elastic/Kibana - WPF - Infrastructure as Code - Monitoring and observability tooling - Experience ...

Vue.js desirable) - AWS cloud services - Docker and CI/CD pipelines - Jenkins, GitLab or equivalent DevOps tooling - PostgreSQL - SOLID principles and secure coding practices - Experience leading development teams, code reviews and mentoring engineers Desirable Skills - Elastic/Kibana - WPF - Infrastructure as Code - Monitoring and observability tooling - Experience ...

Required Technical Skills Engineering & Architecture REST APIs Domain Driven Design (DDD) Docker OpenShift DevOps & Automation Jenkins Terraform Ansible TDD/BDD Secure Coding Performance Engineering Observability & Monitoring Tools JIRA Confluence Splunk Dynatrace SonarQube Banking Domain Knowledge Preferred experience in: Retail Banking Commercial Banking Digital Banking Identity & Authentication ...

cloud-native application design, observability, monitoring and operational support. Experience applying software development best practices, including code reviews, automation, testing and secure coding standards. #J-18808-Ljbffr ...

requirements. Translate requirements into tasks & code. Commit code early and often, demonstrating understanding of version control & branching strategies. Automate everything by default. Write secure code by default. Write maintainable code and observe basic hygiene practices. Implement relevant project instrumentation. Profile and optimise code. Apply understanding of cohesion ...

senior Security Architect and technical authority across a portfolio of projects and services. Lead security architecture reviews and provide expert guidance on secure design principles. Assess and advise on cloud, network, infrastructure and application security controls. Review complex technical solutions and ensure they align with security, regulatory … risk assessments and security testing outputs. Desirable Skills & Experience Red Teaming and adversary simulation DevSecOps Secure software development and secure coding practices Advanced penetration testing and technical security assessments Experience working within large, complex enterprise environments. Preferred Certifications One or more of the following industry ...

policy adherenceSupport runtime security tooling for production risk visibility and contribute to incident response activities including triage, investigation, and runbook developmentLeverages 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 ...

adherenceSupport runtime security tooling for production risk visibility and contribute to incident response activities including triage, investigation, and runbook 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 … 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 ...