101 to 125 of 1,965 SDLC Jobs in the UK

transforming and managing the entire non-production environment landscape. This role ensures that test environments are reliable, scalable, automated, observable, and aligned with modern SDLC and DevOps practices. The TEM drives technical excellence, SRE-inspired culture, and continuous improvement across development, QA, and operations teams. Key Operational Responsibilities: Environment Automation ...

teams; a number of different (positive) experiences is valued higher than length of experience. Strong knowledge and experience of the end‐to‐end SDLC (Agile, Waterfall, hybrid etc.) and modern engineering disciplines. Excellent stakeholder management and communication skills, with the ability to explain technical concepts to both technical ...

Scrum environment, contributing to the full testing lifecycle—from test design through automation, execution, and production validation - while adhering to Client engineering standards and SDLC practices.This role offers the opportunity to work on mission-critical financial systems, ensuring quality for real-time trade processing under strict SLA constraints.Team OverviewWe ...

approaches: OOP, SOLID principles, DDD, TDD/BDD/ATDD Distributed, service-based architectures (messaging, pub/sub, streams, micro-services). Secure SDLC practices and toolsets Extensive experience in C#/.NET/ASP.NET SQL Azure fundamentals (including Key Vault, Entra, App Insights etc) Front-end development and frameworks ...

with architectural standards. Act as the technical lead for Azure API Management and integration services across the Atlas platform. Champion engineering best practice, including SDLC, CI/CD, code quality, testing, automation, agentic/AI-assisted coding and continuous improvement. Mentor, coach and develop engineers, fostering a high-performing ...

governance teams to implement long-term corrective actions. Contribute to continuous improvement of the pentest-to-remediation lifecycle, including automation, standardization and integration with SDLC/DevSecOps pipelines. Compile technical documents, track and document remediation metadata. Engagement details (who, what, when, where) Testing team members and roles Tools and methodologies ...

JavaScript (JS), React, NodeJS (ExpressJS), Python, SQL, and CSS Solid understanding of front-end and back-end development Experience with software development life cycle (SDLC) and agile methodologies Familiarity with database management systems (e.g., MySQL, SQL Server) and version control tools like Git Ability to optimize applications for speed, scalability ...

Software Development Life Cycle, with an advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Working knowledge of SDLC toolchains and proven experience applying enterprise-authorized AI-assisted development and automation capabilities to increase the value realized from automation (e.g., improved efficiency, reliability, maintainability ...

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 ...

commercial environment Experience in agile software delivery (Scrum, Kanban, XP, etc.). Knowledge and experience of continuous improvement in the Software Development Life Cycle (SDLC). Experience in technical communication with peers and non-technical stakeholders. Experience and skills we’d love: We’ve included some further skills and experience ...

throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing ...

observable and fully recoverable Control logic is transparent, auditable and trusted Data quality and lineage are clearly understood Solutions are delivered through a disciplined SDLC into production environments The platform scales to support new technologies, controls and business requirements #J-18808-Ljbffr ...

throughout the model development lifecycle. You will leverage both internal and external cloud platforms, utilizing proprietary and open-source tools to ensure models meet SDLC standards, are production-ready, and can be deployed efficiently. The position requires close interaction with platform developers, engineering communities, and the integration of existing ...

best engineering organisations in the world are rewriting their operating models around AI native development: Claude Code in every workflow, agents across the SDLC, and a fundamentally different relationship between engineers and the tools they use. Most enterprises know this matters. Very few know how to make it work. ...

security, scalability, and observability. Provide technical leadership to agile teams, mentoring developers and raising the engineering quality bar. Champion quality and continuous improvement in SDLC and DevOps, using metrics like DORA. Identify and remove friction in the development processes to improve developer productivity. Drive pragmatic adoption of AI engineering tooling ...

appropriate testing and mock frameworks. Work closely with senior stakeholders and cross-functional partners, communicating progress, trade-offs, and risks clearly. Leverage AI-assisted SDLC tooling (agentic development lifecycle) to accelerate delivery while maintaining engineering controls, code quality, and security standards. Required qualifications, capabilities, and skills To be successful ...

databases, and cloud platforms (e.g., AWS, Azure, or GCP) - sufficient to make informed, well-grounded platform decisions. Working understanding of secure software development lifecycle (SDLC) principles as applied to configuration, customization, and integration work on hosted SaaS platforms. Preferred Skills Experience integrating corporate applications via APIs and middleware/iPaaS ...

validation (is the generated code correct) and non-deterministic evaluation (is the AI's behavior/output acceptable). Understanding of software development lifecycle (SDLC) and QA methodologies. Problem-solving skills with a solution-oriented mindset. Excellent communication skills, able to explain technical concepts to both technical and non-technical ...

product managers and engineers to build modern, scalable, user friendly and functionally robust web applications in an AGILE environment. Participate in all aspects of SDLC including analysis, requirements, design, implementation, testing and support. Use principles, guidelines and best practices as defined. Reviewing and analysing feature requirements. Maintaining and creating product ...

monitoring, and maintenance . Familiarity with Entity Framework, ADO.NET, Code First . Experience working in Agile/Scrum environments . Strong understanding of full SDLC and application architecture. Experience working with mobile‐app‐connected APIs. Exposure to Angular or other frontend frameworks. Knowledge of Jira or similar project management tools. ...

strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores, grounded in sound architectural principles. Ways of working: Thrives in ambiguity, framing ...

have experience overseeing software development teams in an Agile environment , with a strong understanding of backlog management, prioritisation and delivery across the full SDLC using approaches such as Scrum, Kanban and Lean DevOps . You’ll bring a continuous improvement mindset , helping teams optimise processes, remove blockers and strengthen ways ...

real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring Embed directly with client engineering teams to analyse the SDLC to identify AI/agentic opportunities and use cases, design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs ...

real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), cost and safety monitoring Embed directly with client engineering teams to analyse the SDLC to identify AI/agentic opportunities and use cases, design, prototype, and deploy agentic solutions — workshops, proofs of concept, code‐with sessions, and architecture walkthroughs ...

reliability, and meaningful reduction of security risk. Key Responsibilities Design, build, and operate enterprise security controls as software products that integrate directly into the SDLC and core enterprise platforms Own security control capabilities end‐to‐end, including architecture, implementation, deployment, and ongoing operational support in production Write, test, and maintain ...