Description

Software Engineer Analyst Contract - 12 months About the Role
We are working with a leading financial services organisation that is undertaking a major modernisation of its Mortgage technology platforms. They are migrating a 20-year legacy Java codebase into a modern, cloud-native architecture and are looking for a highly capable Software Engineering Analyst who is deeply technical, self-sufficient, and experienced across both legacy and modern Java stacks.

This role sits at the intersection of software engineering, solution implementation, cloud modernisation, and hands-on delivery. You will work alongside architects who have already defined the target state, and you will be responsible for executing the modernisation across backend, integration, and UI layers.
Key Responsibilities

Modernisation & Software Engineering

• Modernise and refactor legacy Java applications into a current-state Java/Spring Boot architecture.
• Work across both old and new Java frameworks to ensure smooth migration and compatibility.
• Lead hands-on development efforts in Java, Spring Boot, APIs, React, and cloud-native services.
• Support migration of frontend components from older libraries into Spring + React.

Cloud & Containerisation

• Build, deploy, and optimise applications on Microsoft Azure.
• Work extensively with Azure services including:
  • Storage Accounts
  • Service+
  • Azure AI Search
  • Azure SQL
• Containerise applications using Docker, Azure Containers, and Kubernetes (AKS).

Database and Data Layer

• Support migration from MariaDB into Azure SQL.
• Ensure data integrity, performance, and compatibility through the migration process.

Development Leadership

• Act as the technical lead within the modernisation stream, driving engineering quality and best practices.
• Operate independently with minimal guidance - strong ability to self-direct, problem-solve, and deliver outcomes.
• Contribute to solution discussions with architects, ensuring alignment with the defined target-state architecture.

AI & Productivity Enablement

• Leverage agentic AI tools (e.g., GitHub Copilot) to enhance delivery speed, code quality, and automation.