101 to 125 of 419 Secure Coding Jobs in England

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 ...

data with Azure SQL or a NoSQL DatabasesEnterprise Expertise: Build resilient Microservice integrated via a Cloud message busSecurity Practices: Comply with secure coding & infrastructure standards and policiesContinuous Delivery: Assist with supporting your application using modern DevSecOps toolsQuality Focus:Continuously improve your technical knowledge and share what ...

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. ...

Grade Level (for internal use):11S&P Global's technology platforms continue to expand in scale, cloud adoption, and regulatory exposure. To support secure delivery across multiple product lines, there is a critical need for a senior DevSecOps role that embeds security directly into engineering platforms, CI/… OpenShift) and infrastructure-as-code tools like Terraform, CloudFormation, or Pulumi Strong understanding of application security concepts including OWASP Top 10, secure coding practices, and experience with security testing tools such as SAST, DAST, and SCA platforms Bachelor's degree in Computer Science, Engineering, Cybersecurity or equivalent ...

respect Produce architecture and design artifacts for complex applications while ensuring design constraints are met throughout software code development 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 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 … Microsoft Azure, at meaningful scale.• 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 ...

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 ...

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 … ideas Proactive and willing to help others put forward ideas 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 ...

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 ...

build through the full lifecycle, including production support and incident management. Analyze data to uncover hidden problems and patterns, and use insights to improve coding hygiene and system architecture. Collaborate with teams to understand the functional requirements of existing complex business applications. Contribute to software engineering communities of practice … events that explore new and emerging technologies. Promote a 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, while validating outputs through peer review, automated testing, and secure coding ...

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 … 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 ...

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 ...

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 ...

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 ...

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 ...

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. You thrive in problem-solving and analytical thinking to create long-term ...

opportunity, inclusion, and respectProduce architecture and design artifacts for complex applications while ensuring design constraints are met throughout software code developmentLeverage 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 automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering ...

communities of practice across software engineering by sharing knowledge, supporting adoption of modern technologies, and promoting engineering best practices 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 Support a team culture that values diversity, opportunity, inclusion ...

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 ...

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 ...

build through the full lifecycle, including production support and incident management. Analyze data to uncover hidden problems and patterns, and use insights to improve coding hygiene and system architecture. Collaborate with teams to understand the functional requirements of existing complex business applications. Contribute to software engineering communities of practice … events that explore new and emerging technologies. Promote a 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, while validating outputs through peer review, automated testing, and secure coding ...

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 ...

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 … critical environments and working with ambiguityDemonstrated 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 ...

integration, end-to-end & performance testsSupport the products you've built through their entire life cycle, including production and incident managementLeverages 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 ...