Software Engineer, Full Stack

Join us as a Software Engineer, Full Stack

• This is an opportunity for a driven Software Engineer to take on an exciting new career challenge
• Day-to-day, you'll be engineering and maintaining innovative, customer centric, high performance, secure and robust solutions
• Its a chance to hone your existing technical skills and advance your career while building a wide network of stakeholders
• We're offering this role at associate level

In your new role, youll be working within a feature team to engineer software, scripts and tools, as well as liaising with other engineers, architects and business analysts across the platform.

Youll also be:

• Producing complex and critical software rapidly and of high quality which adds value to the business
• Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
• Collaborating to optimise our software engineering capability
• Designing, producing, testing and implementing our working software solutions
• Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations

To take on this role, youll need a background in software engineering, software design, and architecture, and an understanding of how your area of expertise supports our customers. You'll need at least seven years of experience in Full stack development with front end development skills in Angular, HTML, CSS, JavaScript and Typescript and strong backend development skills in Java, Springboot Micro Services and NodeJS.

You'll also need experience in writing automated test cases, working with CI/CD pipelines, Agile delivery model and tools like Jira and Confluence. Experience in Banking domain will be preferred.

Youll also need:

• Experience of working with development and testing tools, bug tracking tools and wikis
• Experience in multiple programming languages or low code toolsets
• Experience of DevOps and Agile methodology and associated toolsets
• A background in solving highly complex, analytical and numerical problems
• Experience of implementing programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance.