101 to 125 of 146 Code Quality Jobs in Glasgow

deployment and operational excellence across our engineering landscape. For this role, you will need to be able to demonstrate experience writing, extending, and maintain code at a developer's proficiency level, with Python. Role: Python Developer Day rate: £450 per day (inside IR35) Pay framework: Umbrella Company Start date … intervention. Troubleshoot complex issues across application, automation, infrastructure, and deployment layers. Contribute to improvements in deployment reliability, observability, resilience, and operational support. Participate in code reviews and contribute to engineering standards, design decisions, and best practices. Collaborate with developers, QA engineers, DevOps, architects, and other technical stakeholders ...

respect, fostering a positive and collaborative organizational environment. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis … programming language Good understanding of agile methodologies/practices 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 ...

respect, fostering a positive and collaborative organizational environment. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis … programming language Good understanding of agile methodologies/practices 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 ...

technology strategy by evaluating emerging tools and frameworksDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support ...

refactoring, feature changes, test generation, and documentation with rigorous human validation. 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 … value realized by automation. Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively ...

data and systems or technical implications and advise on mitigation actions 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 ...

lifecycle-manage open-source and proprietary large language models on cloud-based container orchestration platforms and on-premises GPU clusters using reproducible infrastructure as code and continuous delivery pipelinesImplement observability across logs, metrics, and traces with dashboards and actionable alerting for large language model and GPU workloadsTune … state and memory management, and workflow control where appropriateDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis ...

lifecycle-manage open-source and proprietary large language models on cloud-based container orchestration platforms and on-premises GPU clusters using reproducible infrastructure as code and continuous delivery pipelines Implement observability across logs, metrics, and traces with dashboards and actionable alerting for large language model and GPU workloads Tune … memory management, and workflow control where appropriate Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support ...

engineering expertise directly protects the reliability and resilience of systems that matter at scale. At JPMorganChase, we invest in engineers who think beyond the code — who own outcomes, drive operational excellence, and raise the bar for how technology performs under pressure. As a Lead Software Engineer focused on Site … accountability, share learnings, and align stakeholders on priorities. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis ...

engineering expertise directly protects the reliability and resilience of systems that matter at scale. At JPMorganChase, we invest in engineers who think beyond the code — who own outcomes, drive operational excellence, and raise the bar for how technology performs under pressure. As a Lead Software Engineer focused on Site … drive accountability, share learnings, and align stakeholders on priorities.Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis ...

engineering expertise directly protects the reliability and resilience of systems that matter at scale. At JPMorganChase, we invest in engineers who think beyond the code — who own outcomes, drive operational excellence, and raise the bar for how technology performs under pressure. As a Lead Software Engineer focused on Site … accountability, share learnings, and align stakeholders on priorities. Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis ...

downstream data and systems or technical implications and advise on mitigation actionsLeverages 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 ...

leverage working knowledge of NoSQL databases to support diverse data access patternsApply reuse-first, AI-assisted practices to strengthen software development lifecycle quality routines for data pipelines (e.g., test generation … control validation), ensuring traceability, auditability, and alignment to resiliency and security expectationsLeverages 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 ...

landscape. Experience & Skills Required · Strong software engineering background with excellent hands-on Python development experience. · Experience in designing, developing, and maintaining scalable, high-quality applications and services. · Practical expertise with automation technologies such as Playwright and/or Selenium. · Experience building and maintaining reusable automation frameworks and tooling. … containerisation technologies (e.g. Docker, Kubernetes). · Experience working with CI/CD pipelines and modern DevOps practices. · Strong understanding of software design principles, code quality, testing strategies and engineering best practices. · Ability to troubleshoot complex technical issues across application, infrastructure, and automation layers. · Experience working in Agile ...

Python Developer who enjoys solving complex technical challenges and working across application, automation and infrastructure layers. Key Responsibilities Design, develop and maintain high-quality, scalable applications and services using Python. Build and maintain automated solutions supporting end-to-end business and technical workflows. Develop reusable automation frameworks, tooling … issues across application, infrastructure and automation environments. Collaborate with cross-functional engineering teams within an Agile delivery environment. Contribute to software design, testing strategies, code quality and wider engineering best practices. Essential Experience & Skills Strong software engineering background with extensive hands-on Python development experience. Proven experience ...

technical developmentEnsure successful collaboration across teams and stakeholders, maintaining alignment with business objectives and delivery goalsLead and manage large-scale technical deliverables, driving quality outcomes from design through to productionExecute software solutions across design, development, and technical troubleshooting, setting a high standard for engineering excellenceDefine and lead technology … creating an environment where every team member can thriveDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis ...

leverage working knowledge of NoSQL databases to support diverse data access patterns Apply reuse-first, AI-assisted practices to strengthen software development lifecycle quality routines for data pipelines (e.g., test generation and control … validation), ensuring traceability, auditability, and alignment to resiliency and security expectations 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 ...

customers and colleagues. AccountabilitiesDevelopment and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies … ensure seamless integration and alignment with business objectives.Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical ...

customers and colleagues. AccountabilitiesDevelopment and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies … ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture ...

Senior SQL Server developer with experience in programming, design and integration of data warehouse and data distribution platforms Designs, builds and optimises T-SQL code (stored procedures, functions, views) and data models to produce trusted security/risk reporting and records-management-aligned datasets Engineers resilient batch and near … platform, security, risk and governance stakeholders. Your Skills: Expert T-SQL development (complex query design, stored procedures/functions, set-based approaches) with strong code quality and review discipline. Strong SQL Server performance engineering (execution plans, indexing, partitioning, temedh, concurrency) and ability to diagnose production issues under ...

week is back-to-back 1:1s, sprint ceremonies, and stakeholder syncs, this is not the right fit. We need a director who writes code, reviews architecture, challenges technical decisions, and earns the team's respect through demonstrated craft and not just tenure or title. What You Will Work … technical roadmap for autonomous constellation operationsSet the architectural direction for the data platform, reliability systems, and automation infrastructureStay hands-on: review code, prototype solutions, and get into the details when it mattersEstablish engineering standards across code quality, system design, testing, and observability, and hold the team ...

week is back-to-back 1:1s, sprint ceremonies, and stakeholder syncs, this is not the right fit. We need a director who writes code, reviews architecture, challenges technical decisions, and earns the team's respect throughthroughdemonstratedcraft and not just tenure or title. What You Will Work On Technical … technical roadmap for autonomous constellation operations Set the architectural direction for the data platform, reliability systems, and automation infrastructure Stay hands-on: review code, prototype solutions, and get into the details when it matters Establish engineering standards across code quality, system design, testing, and observability ...

technical discussions. • Contribute to data and machine learning pipelines and integrations. • Engage with cross-functional teams to define requirements and deliver solutions. • Conduct code reviews and contribute to testing, reliability, and security. • Participate in pair programming and knowledge sharing to support team growth. YOUR SKILLS AND EXPERIENCE ESSENTIAL CRITERIA … Experience developing software using Python or a similar modern programming language. • Good understanding of software engineering principles and practices, including testing, code quality, version control, and CI/CD. • Experience developing or supporting cloud-based services, preferably using AWS. • Experience with infrastructure-as-code and automated ...

benchmarking, and reliability engineering practices as part of existing governance processes Coach and grow engineers, providing technical guidance and fostering a culture of quality, ownership, and continuous improvement Work closely with identity architects, platform engineers, and risk and control partners to ensure we leverage best-in-class solutions … development practices and tools Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage ...

agile context, supporting multiple business functions and technology areas. You will apply CI/CD, AWS, Terraform, and AI-assisted engineering practices to raise code quality and delivery speed, while ensuring high availability and robust observability across environments. #J-18808-Ljbffr ...