Senior Backend Developer (Java & AWS)

Our Client Our client is a fintech-software company , part of a leading European financial group, delivering advanced software solutions and data-driven services . They specialise in banking-tech platforms and data engineering , supporting the groups digital-transformation ambitions. Responsibilities: Backend Development Design, implement, and maintain backend services and APIs using Java 21 and Spring Boot , working with Spring Data, Hibernate, or JDBC connectors . Integrate applications with Oracle or Aurora PostgreSQL databases , ensuring efficient performance and reliability. Write secure, maintainable, and scalable code aligned with established architectural standards and best practices. Cloud & DevOps Develop and deploy applications in AWS , leveraging services such as ECS, Lambda, Step Functions, RDS, S3, SQS, SNS, and CloudWatch . Build and maintain Infrastructure as Code (IaC) using Terraform to ensure consistent and reproducible environments. Contribute to the setup and maintenance of CI/CD pipelines . Python Development Use Python for automation, backend utilities, data processing, and system integrations when required. Work alongside data engineering teams to enable efficient data exchange, integration, and transformation across systems. Requirements: Degree in Computer Science, Engineering, or a related field . Strong experience in backend development using Java 21, Spring, Spring Boot Data, Hibernate, and JDBC . Solid knowledge of relational databases . Hands-on experience building and deploying solutions in AWS environments (ECS, Lambda, Step Functions, RDS, S3, SQS, SNS, CloudWatch). Proficiency in Python for scripting and backend tasks. Experience managing infrastructure with Terraform . Good understanding of RESTful API design, microservices architecture, and secure coding practices . Experience with version control systems such as GitHub or GitLab . Nice to Have Experience collaborating with data engineering teams and integrating backend services with data pipelines. Exposure to AI tools or frameworks . Familiarity with CI/CD tools and DevOps practices . Knowledge of containerization technologies such as Docker or Kubernetes . AWS certification (e.g., Solutions Architect or Developer) is considered an advantage. Experience working with Agile methodologies and tools like Jira . Familiarity with monitoring and alerting systems .