1 to 25 of 1,597 SDLC Jobs in England

solutions like SonarQube, Semgrep, Blackbuck, Trivy, GitLeaks Veracode, etc. Configuring and using Secrets management tools like Vault and Cloud native solutions Broad knowledge of SDLC Tools, specifically Build, Test and Deploy Automation tools, e.g., Maven, Gradle, Selenium, Ansible, etc. Good understanding of Source code mgmt solutions like GitHub, GitLab, BitBucket ...

or JavaUnderstanding of data modelling, ETL processes, or data pipelines (desirable)Exposure to cloud platforms (AWS, Azure, GCP)Understanding of software development lifecycle (SDLC) and testing principlesAcademic, personal, or internship projects involving data analysis or insightsPlatform Engineer:Degree in Computer Science, Network Engineering or related STEM disciplineStrong analytical and problem ...

Strong knowledge of manual testing and software testing methodologies. Experience designing and executing test cases and test scripts. Understanding of the Software Development Lifecycle (SDLC) and Software Testing Lifecycle (STLC). Experience with Agile, Waterfall or hybrid delivery methodologies. Familiarity with test management and defect tracking tools such as Jira ...

Power BI report development, dashboards, and data modelling concepts Good SQL skills and understanding of relational databases Basic understanding of software development lifecycles (SDLC) and application architecture Strong analytical and problem-solving capabilities Good communication and collaboration skills Strong attention to detail and commitment to software quality Good documentation ...

Power BI report development, dashboards, and data modelling concepts Good SQL skills and understanding of relational databases Basic understanding of software development lifecycles (SDLC) and application architecture Strong analytical and problem-solving capabilities Good communication and collaboration skills Strong attention to detail and commitment to software quality Good documentation ...

Power BI report development, dashboards, and data modelling concepts Good SQL skills and understanding of relational databases Basic understanding of software development lifecycles (SDLC) and application architecture Strong analytical and problem-solving capabilities Good communication and collaboration skills Strong attention to detail and commitment to software quality Good documentation ...

Model Context Protocol) and/or MLOps (e.g. model deployment pipelines, monitoring and lifecycle management) is highly desirable.* Understanding of compliance requirement around SDLC, ITGC,ITAC.**Key Behavioural/Personality Traits**The Senior Developer will demonstrate strong collaboration skillset with the rest of the development team, as well as producing ...

usage.Partner with tech teams, traders and quants to deliver production-grade applications and services.Drive a culture of quality and continuous improvement in SDLC and DevOps, using metrics to boost efficiency.Translate complex business requirements into detailed technical specifications.Proactively identify, mitigate, and solve complex risks throughout the software development lifecycle.Improve system performance ...

Model Context Protocol) and/or MLOps (e.g. model deployment pipelines, monitoring and lifecycle management) is highly desirable.* Understanding of compliance requirement around SDLC, ITGC, ITAC.* Experience with Flyway or similar database migration tooling.* Experience with OpenSearch/Elasticsearch for search and indexing workloads.# Key Behavioural/Personality TraitsThe Lead ...

/.NET or TypeScript (Angular and/or React), with hands-on commercial experience of cloud (Azure preferred), GitHub or Azure DevOps, and the SDLC, CI/CD and Agile delivery.A strong analytical and quantitative background (e.g. mathematics, statistics, engineering or computer science), with the ability to reason rigorously about ...

design and review technical architectures. Experience across several relevant areas, typically two to five years, such as operating-system hardening, CI/CD, pipelines, SDLC, CDK, GitOps, DevOps or Agile delivery, Docker, Kubernetes, serverless technologies, Helm, penetration testing, Snowflake, MongoDB, Terraform Cloud, GitHub, or Databricks. Essential Skills Strong analytical ability ...

transactions. Hands‐on experience in source‐to‐target reconciliation, data integrity testing, financial calculations, and validation across applications, databases, and reports. Strong understanding of SDLC, STLC, test design techniques, defect lifecycle, and Agile Scrum methodologies. Experience with Jira, Azure DevOps, or similar test management and defect tracking tools. Ability ...

experience across different capabilities, systems or teams; a breadth of (positive) experiences is valued alongside depth. A solid understanding of the end-to-end SDLC (Agile, Waterfall, hybrid etc.) and modern engineering disciplines. Strong stakeholder management and communication skills, with the ability to explain technical concepts to both technical ...

technical direction for your domain, and mentor mid-level engineers. Use agentic coding tools (Copilot, Cursor, Claude Code, or equivalent) daily across the SDLC, and lead modernization from legacy services into the modern stack alongside architects and team leads in your domain. What We're Looking For Must-have ...

Python, but experience in C++/C#/Java/etc would also be considered) Experience working on mission-critical applications, following a robust SDLC Excellent communication and problem-solving skills; and a strong aptitude for learning Experience and enthusiasm for test-automation and CI/CD Strong STEM degree ...

Software development experience with one or more languages (e.g. Python, Java, C#) Solid software engineering and DevOps skills as well as the complete SDLC applied to data, e.g. design patterns, automation, testing, contract definition, clean code, CI/CD, path to production Worked with one or more cloud platforms ...

stability and continuous improvement within the 24/5 operating model.Responsible AI adoption: Identify practical opportunities to use LLMs, agentic frameworks and AI-assisted SDLC practices to improve engineering productivity and service outcomes, with appropriate security, risk and governance controls.Skills, experience, qualifications and knowledge required:Solid software engineering experience, including ...

teams to design, develop, and maintain innovative software solutions Use appropriate tools and methodologies to support all stages of the Software Development Life Cycle (SDLC), including design, development, and static analysis Manage code effectively using industry‐standard version control systems (e.g. Git) Design and build robust, scalable backend systems using ...

legacy applications toward microservices, event‐driven, and modern platform architectures, improving resiliency, scalability, and observability. Apply AI‐assisted development tools responsibly across the SDLC, including coding, testing, documentation, code review, troubleshooting, and workflow automation. Translate business needs from Trading, Sales, Operations, Risk, and Compliance into robust technical solutions and deliver ...

modernization of legacy applications toward microservices, event-driven, and modern platform architectures, improving resiliency, scalability, and observability.Apply AI-assisted development tools responsibly across the SDLC, including coding, testing, documentation, code review, troubleshooting, and workflow automation.Translate business needs from Trading, Sales, Operations, Risk, and Compliance into robust technical solutions and deliver ...

e.g., serverless, managed databases, API Gateway), ensuring security, performance, and cost efficiency. AI Enablement: Enable responsible adoption of AI and GenAI capabilities across the SDLC, including code generation, review, testing, documentation, and deployment automation. Take the technical ownership on implementing AI solutions for product enhancements. Cost of Ownership Optimisation: Drive ...

services in production, including reliability, observability, on-call, and incident response. Use agentic coding tools (Copilot, Cursor, Claude Code, or equivalent) daily across the SDLC, and help take parts of the platform from legacy services into the modern stack alongside architects and team leads in your domain. What ...

collaboration—everyone has something to contribute and something to learn.Job Description:Essential Responsibilities: Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.Advises immediate management on project-level issuesGuides junior engineersOperates with little ...

building for UK Sovereign Cloud or disconnected environments. Practical application of BDD/TDD and a "Security First" approach to the software development lifecycle (SDLC). Desirable: AI & Data Underpinnings Vector Databases: Experience with high-dimensional data retrieval using Milvus, Weaviate, or Pinecone (essential for RAG architectures). Data Orchestration ...

them through project templates, linters and CI quality gates rather than manual policing. AI-assisted development: Lead the adoption of AI tools across the SDLC (code generation, code review, refactoring, test generation, documentation, legacy code analysis). Define guidelines for usage, review of AI-generated code, and security ...