76 to 100 of 1,516 SDLC Jobs in England

coordinating testing across multiple projects. Experience in modelling and tracking software quality metrics – e.g. defect density, etc. Strong understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC). Familiarity with test management tools. Excellent communication skills with both technical and non-technical audiences. Experience with automation ...

squads that focus on specific products and projects. JobResponsibilities Work with the Product team to understand user’s needs and follow an Agile SDLC to develop and deliver product features. Our stack is Java/Springboot with a bit of Kotlin, DynamoDB, Aurora/MySQL and AWS. Participate with ...

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 ...

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 ...

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 ...

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 ...

Change Management* Knowledge of Scripting, SQL and/or experience in programming languages such as Java and Python* Knowledge of IT project & development lifecycles (SDLC), agile methodology, and ITIL**Nice to Have Skills:*** Experience in FIS Quantum application* Experience in financial services industry, specifically in Capital Markets and Treasury* Experience ...

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 ...

company Experience with infrastructure as code, ops automation, and configuration management tools such as Chef, Puppet, or Ansible Experience with software development life cycle (sdlc) and agile/iterative methodologies Master's degree or equivalent Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce ...

large language models, RAG architectures, and modern data services to solve complex banking challenges. You will help drive transformation of customers' software development lifecycle (SDLC) with AI, and enable end-to-end workflows with Agentic AI and end-user AI productivity tools. People & Operating Model Change: Drive customers' people ...

brilliant people on board and that’s where you come in. Why should you apply? Impact: AI first by default, we’re building our SDLC around AI Assisted engineering and you’ll be part of shaping this. Technology: Gain experience working with cutting-edge technologies and architectural practice ...

grounding AI agents on trustworthy data Solid understanding of software development methodologies, platforms, and tools, including how AI/agentic components fit into standard SDLC Demonstrated ability to plan and facilitate small to medium-sized workshops, including cross‐functional AI use‐case discovery sessions Strong verbal and written communication skills ...

Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, Splunk, Datadog, OpenTelemetry, ELK, or CloudWatch) Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design. Knowledge of networking protocols(VPC) , load balancing strategies ...

digital transformation priorities, and leading the group to make full use of AI‐assisted software development. Oversee the end‐to‐end software development lifecycle (SDLC) for all applications within the Agency Lending and Collateral domains. Ensure the timely and high‐quality delivery of new features, enhancements, and critical projects. Implement ...

containerization platforms likeKubernetesandOpenShift. Frontend Expertise: Experienced inPython-based frontend frameworks(e.g., Dash, Streamlit, or other relevant Python web frameworks) would be desirable. DevOps & Modern SDLC : Deep understanding and practical application ofDevOps principles, including CI/CD pipelines, automated testing, and trunk-based development. A strong commitment tofully automated testingand continuous ...

/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways) What you can expect 🌱 Work to agile best practices and cross‐functionally with multiple teams ...

/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways) What you can expect 🌱 Work to agile best practices and cross‐functionally with multiple teams ...

/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways) What you can expect 🌱 Work to agile best practices and cross‐functionally with multiple teams ...

grounding AI agents on trustworthy data Solid understanding of software development methodologies, platforms, and tools, including how AI/agentic components fit into standard SDLC Demonstrated ability to plan and facilitate small to medium-sized workshops, including cross-functional AI use-case discovery sessions Strong verbal and written communication skills ...

Demonstrated ability to independently lead multiple complex, high-impact, client-facing projects within a software or engineering environment Strong understanding of software development lifecycle (SDLC), implementation delivery models, and the dependencies inherent in enterprise software delivery Demonstrated experience managing project scope, financials, risks, dependencies, and delivery outcomes across the full ...

platforms and enterprise integration technologies. Ability to quickly define, prototype, and deliver technical solutions in fast-moving environments. Strong understanding of software development lifecycle (SDLC) processes and agile delivery methodologies. Experience building automation solutions and deployment pipelines. Knowledge of cloud and hybrid infrastructure environments. Preferred Experience Experience with identity synchronisation ...