76 to 100 of 176 Secure Coding Jobs in London

based payments application, focusing on high performance and low latency. You will build new payment flows end to end, from understanding business requirements to coding and supporting solutions in production. In this agile team, you will enhance, build, and deliver trusted technology products, contributing across multiple technical areas … enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes Establish consistent validation standards, including secure coding, peer review, and automated testing Promote reuse of effective patterns across the team Apply 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. Apply knowledge of tools within the Software Development Life Cycle (SDLC … practices, including CI/CD, Application Resiliency, and Security . Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., coding, code review, test acceleration, troubleshooting), including 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 ...

handling, schema/version management and effectively‐once processing where required. Use AI‐enabled engineering tooling responsibly to improve delivery productivity, including integrated agentic coding assistants, prompt engineering, code review support and, where appropriate, agentic workflow patterns and MCP‐based integrations. Mentor developers and improve team capability across C# … auditability, security and controlled change are important. Experience applying engineering best practice including loose coupling, contract‐first design, idempotency, automated testing, secure coding, observability and operational readiness. Experience leading people to deliver, including mentoring, work allocation, delivery tracking, quality review and constructive challenge, while remaining substantially hands ...

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 … 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 ...

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 … more programming language(s); strong knowledge of Python 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 ...

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 ...

plus car allowance, plus up to 10% performance bonus*, plus excellent benefits package (below). Logiq is a fast‐growing technology company delivering secure, modern platforms for high‐risk, mission‐critical environments across the private sector and UK Central Government. We are expanding our Security Architecture capability …/access, encryption, data protection, secrets, and resilience). • Recommend and review controls for containerised and serverless workloads; guide teams on secure coding and code review practices. • Support incident response planning and playbook development; foster a culture of continuous assurance. Your experience will include: • Leading the development ...

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 … signing, verification, JWKs, rotation, scopes/claims, replay protection). 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 ...

accepting appropriate trade-offs. Apply Tesco architectural standards and best practices, including security-first thinking and use of tools for vulnerability management and secure coding. Ensuring solutions are robust, scalable, and efficient. Taking ownership of systems, driving reliability, maintainability, and performance. Mentoring and supporting fellow engineers, fostering ...

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 … protocol and electronic trading systems. 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 … protocol and electronic trading systems. 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 … working knowledge of TypeScript/React for web tooling and SQL for full-stack work Proficient user of enterprise-authorized AI-assisted development tools (coding, review, test acceleration, troubleshooting), with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible ...

technical processes within a technical discipline such as cloud (e.g., deploying and operating services in cloud or hybrid environments) 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 ...

standards to accelerate onboarding and pipeline delivery Identify data issues, anomalies, and optimization opportunities to improve data quality and performance 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; contribute learnings and reusable patterns to improve broader team effectiveness Required Qualifications, Capabilities, and Skills: Hands-on experience with Databricks, Spark/PySpark, Python, and SQL Experience developing and maintaining data pipelines ...

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 … based engineering environment Advanced Python - additional programming languages a plus 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 … Java Experience working with asynchronous runtimes like Cats Effect 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 ...

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 … asynchronous runtimes like Cats Effect 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 … functional environments 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 ...

digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful … Controls - SABSA - TOGAF Understanding of security operations concepts, incident response, and detection capabilities. Knowledge of application security principles, including secure coding practices and OWASP guidance. Experience with DevSecOps practices and security automation. Familiarity with container and Kubernetes security. Understanding of encryption, key management, and data protection principles. ...

. Experience with CI/CD pipelines; Containerisation (Docker, Kubernetes preferred); Version control systems (Git). Strong knowledge of design patterns; Secure coding practices; Performance optimisation. Experience leading or mentoring engineers. Strong people management skills. Comfortable giving constructive feedback and conducting performance reviews. Strong communicator across technical ...

Rates/Salary Open to negotiation depending on experience Current SC Clearance required Requirements Develop Support Java full-stack IAM applications APIs Microservices Secure DevOps-based releases … Technical Skills required Java Spring Boot REST APIs AWS/Azure Angular/React microservices SQL OAuth2/OIDC unit testing secure coding CI/ ...

Rates/Salary Open to negotiation depending on experience Current SC Clearance required Requirements Develop Support Java full-stack IAM applications APIs Microservices Secure DevOps-based releases … Technical Skills required Java Spring Boot REST APIs AWS/Azure Angular/React microservices SQL OAuth2/OIDC unit testing secure coding CI/ ...

Head of Security Architecture with deep expertise in AI systems to design, implement, and maintain secure architectures for enterprise security, artificial intelligence and machine learning initiatives across the organisation. This role will define technical security standards, reference architectures, and implementation frameworks that protect traditional IT environments … specific to AI/ML systems and attack surfaces Technical Security Standards: Develop and maintain security frameworks and best practices Create secure coding standards for ML engineers and data scientists Establish model validation, testing, and verification protocols Define encryption, authentication, and authorisation standards for systems Document security ...