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# Software Engineer II

- **Company:** Candescent
- **Location:** Dundee, UK (Remote available)
- **Experience:** Experienced
- **Salary:** £48,560.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, HTML5, Automation of Tests, Microsoft Azure, Cascading Style Sheets (CSS), Cloud Computing, Cloud Engineering, Static Program Analysis, Code Generation, Code Review, Databases, Continuous Integration, Relational Databases, Cursor, Programming Tools, Gradle, Hibernate (Java), Integrated Development Environments, Java Persistence API, Spring Framework, PostgreSQL, Apache Maven, Microsoft SQL Server, NoSQL, Oracle (Applications), Scrum Methodology, Microsoft Copilot, Simple Object Access Protocol (SOAP), Software Engineering, Cloud Platform System, GitHub Copilot, Spring-boot, Generative AI, AI Coding Agents, AngularJS, Information Technology, Restful APIs, Docker, Service Stack, Jenkins, Microservices
- **Published:** October 15, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5890395877

## About the Role

* Bachelors Degree in Computer Science or related field
 * A minimum of 2 to 4 years of experience in software design and development
 * A minimum of 2 years of experience in preferred technology stack
 * Java Full stack design & development
 * Java microservices
 * Spring Framework / Spring Boot
 * NoSQL, JPA, Hibernate
 * HTML5, JavaScript, CSS, Angular
 * TDD/BDD
 * RESTful services
 * CI/CD tooling including Jenkins, Maven, Gradle and Docker
 * API based design and development using REST & SOAP frameworks
 * Experience in deployment and troubleshooting in K8 environment
 * Deep understanding of Software Development and Quality Assurance best practices
 * Excellent written and verbal communication skills
 * Excellent teamwork and collaboration skills
 * Experience operating in an Agile environment, with a deep understanding of agile development principles.

AI & Modern Engineering Skillsets Beneficial

 * Hands-on experience using AI coding assistants such as:
 * Cursor or equivalent AI-first IDEs
 * Experience applying Generative AI for:
 + Code generation and refactoring
 + Test generation and coverage improvement
 + Documentation and API contract generation
 * Strong understanding of responsible AI usage, including code correctness, security, data privacy, and licensing considerations.
 * Ability to critically review and validate AI-generated code outputs., * Worked in any Software Development Life Cycle model and desirable working in Agile environment* Knowledge of software development standards and protocols.Good hands-on database on relational database like - SQL Server, Oracle, Postgres* Experience with tools utilized in development environment:
 * Knowledge of Cloud provisioning and maintenance in any major Cloud platform GCP, AWS or Azure
 * Knowledge about ATMs will be an added advantage

## Description

* Develop high-quality, maintainable, and reusable software components that meet functional and non-functional requirements.

 * Leverage AI-powered development tools such as Microsoft Copilot, GitHub Copilot, Cursor, or similar GenAI IDE assistants to accelerate coding, refactoring, and test generation.

 * Diagnose, isolate, and resolve system failures caused by defects in software design or implementation.

 * Apply AI-assisted code reviews, static analysis, and automated quality checks to improve code reliability and performance.

 * Identify and implement improvements in engineering practices

 * Utilize software based system maintenance, observability, and tracking tools.

 * Contribute to technical documentation, developer guides, and customer-facing materials.

 * Design, write, and execute unit, integration, and automated tests.

 * Analyze, design, and implement software mechanisms to improve code stability, performance, security, and reusability.

 * Participate in code reviews, ensuring best practices are adhered and that we are not compromising engineering standards.

 * Assist with team commitments within Sprint planning, backlog grooming, and delivery.

 * You will, mentor, and advise other engineering resources as part of project activities.

 * Stay current with AI, software engineering, and cloud-native trends, disseminating knowledge and defining best practices.

 * Collaborate with Solution Management, Product, Security, and Platform teams across the organization.