1 to 25 of 201 SDLC Jobs in Glasgow

strategy, incident/root-cause analysis support), while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns.Apply SDLC toolchain knowledge—including enterprise-authorized AI-assisted development and automation capabilities—to increase the value and impact of automation.Identify recurring issues and lead efforts ...

incident/root-cause analysis support), while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns. Apply SDLC toolchain knowledge—including enterprise-authorized AI-assisted development and automation capabilities—to increase the value and impact of automation. Identify recurring issues and lead efforts ...

usage within team practices. Demonstrated “automation-first” mindset: experience designing and operationalizing enterprise-authorized AI-assisted or agentic automations that reduce manual effort across SDLC, CI/CD, and continuous improvement driven by measurable outcomes.Preferred qualifications, capabilities, and skillsWorking knowledge of Python for scripting, automation, or service developmentKnowledge of agentic ...

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 Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value ...

product family, with human-in-the-loop validation and appropriate handling of sensitive data. Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering or architecture ...

/GenAI platforms), ECS and deployment patterns for scalable inference.Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls.Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling).Familiarity with financial risk domain concepts - market, credit, counterparty, or ...

inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.Proven experience across the SDLC: design, development, testing, deployment, and operations in a large corporate environment.Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.Effective communicator ...

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 Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value ...

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 Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve ...

product family, with human-in-the-loop validation and appropriate handling of sensitive data. Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering or architecture ...

product family, with human-in-the-loop validation and appropriate handling of sensitive data. Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls. Required Qualifications, Capabilities, and SkillsFormal training or certification on software engineering or architecture concepts ...

/or working with SLMs, embeddings, and retrieval systems.Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls.Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling).Exposure to distributed compute/training concepts (e.g., DDP, sharding ...

/or working with SLMs, embeddings, and retrieval systems. Experience with developer productivity tooling such as GitHub Copilot and Claude Code, paired with strong SDLC controls. Knowledge of the financial services industry and operating in regulated environments (auditability, controls, data handling). Exposure to distributed compute/training concepts (e.g. ...

portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency ...

portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency ...

strategic decisions.Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing.Lead and Participate in the full Software Development Life Cycle (SDLC), including requirements gathering, design, development, testing, deployment, and maintenanceIdentify and automate remediation of recurring issues to improve operational stability, acting as both Production Support ...

Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing. Lead and Participate in the full Software Development Life Cycle (SDLC), including requirements gathering, design, development, testing, deployment, and maintenance Identify and automate remediation of recurring issues to improve operational stability, acting as both Production Support ...

patterns across the team Contribute to the engineering community by advocating firmwide frameworks, tools, and practices for the AI-enabled System Development Life Cycle (SDLC). Foster a team culture of opportunity, inclusion, and respect. Required qualifications, capabilities, and skills Significant hands-on system/software development experience, delivering production ...

implementing CI/CD pipelines, infrastructure automation, and deployment strategies Advanced understanding of the Software Development Life Cycle - ability to influence and improve SDLC practices across teams Advanced knowledge of agile methodologies -CI/CD, Application Resiliency, Security, and capacity planning Demonstrated expertise in a technical discipline (e.g., cloud architecture ...

Investment Banking business products sold lifecycle of a deal’s origination and execution model Knowledge of Agile framework software development processes and SDLC Familiarity with workflow modelling and process flow modelling techniques using tools such as Visio PowerPoint Advanced communication skills stakeholder management skills and ability to manage time ...

success leading complex, fixed-outcome programmes (£10M+ annual revenue) and managing distributed teams of 100+ across global delivery centers. Agile Data Operations: Mastery of SDLC, DataOps, and MLOps practices to drive rapid iteration, continuous delivery of data products, and automated testing frameworks. Commercial & Risk Rigour: Strong financial governance ...

portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g., AI-orchestrated SDLC/TLM automation, release readiness gating, incident triage/root-cause acceleration, and large-scale refactoring/test modernization), while defining guardrails for validation, security, resiliency ...

knowledge of Kubernetes internals, multi-tenancy and observability Proven experience with CI/CD, automation, infrastructure as code and deployment pipelines. Strong understanding of SDLC, Agile delivery, resiliency and security Practical use of AI-assisted development tools such as GitHub Copilot or Claude Code. Excellent stakeholder management, communication, and technical ...

applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience of AI and full understanding of the SDLC process, and MongoDB Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies ABOUT US J.P. Morgan is a global ...

culture that encourages ownership and continuous improvement.Job Responsibilities:Build and evolve developer-facing products, including IDE experiences, web tooling, test infrastructure, and SDLC workflowsImprove productivity and confidence for thousands of engineers through impactful toolingOwn features throughout their lifecycle: discovery, design, implementation, rollout, telemetry, and operational supportTranslate ambiguous challenges into scalable ...