Senior Software Engineer - Java Cloud and AI

Senior Software Engineer – Java, Cloud & AI 📍 Location: London, UK 💼 Contract: 6 Months 🏢 Working Model: 5 Days Onsite per Week We are looking for a Senior Software Engineer – Java, Cloud & AI to join an enterprise engineering team in London. The role involves designing, developing and supporting secure, scalable and highly resilient platform services, integrations and data-enabled solutions. The successful candidate will work closely with engineering, platform, data and operations teams to deliver production-grade applications, curated datasets and AI/ML-enabled solutions. Key Responsibilities Design, develop, test and troubleshoot enterprise-scale applications using Java, Spring and Spring Boot.Build and maintain microservices and REST APIs, including synchronous and asynchronous processing.Develop secure, scalable and highly resilient production-grade applications.Produce technical design and architecture artifacts covering service boundaries, data flows, interface contracts and resiliency patterns.Analyse application data, logs and performance metrics to identify issues and improve system reliability.Contribute to engineering standards, technical forums and continuous improvement initiatives.Work with CI/CD, automation, testing and SDLC tools to improve engineering efficiency.Use enterprise-approved AI-assisted development tools for coding, refactoring, testing, troubleshooting and documentation.Validate AI-generated outputs for correctness, security, performance and maintainability.Collaborate with engineering and platform teams to deliver reliable cloud and data solutions. Required Skills & Experience Strong hands-on experience with Java, Spring and Spring Boot.Strong experience developing microservices and REST APIs.Solid understanding of system design, application development, testing and production support.Experience working with enterprise-scale applications in large corporate environments.Strong experience with SQL and databases such as MS SQL Server or Oracle.Good understanding of SDLC, Agile, CI/CD, application resiliency and security fundamentals.Experience deploying and operating applications in Cloud or Hybrid Cloud environments.Hands-on experience with AI-assisted software development tools such as enterprise-approved coding assistants.Ability to critically evaluate and validate AI-generated code, tests and documentation.Understanding of responsible AI usage, data sensitivity and secure handling of AI inputs/outputs. Preferred Skills Databricks, Lakehouse architecture and Delta Lake.Medallion Architecture and data product development.Enterprise data platforms and Data Mesh principles.Data quality, observability, metadata management and data lineage.Experience supporting Analytics, Reporting and AI/ML workloads.Experience with regulatory controls, auditability and traceability.Terraform and/or CloudFormation.AWS SQS, SNS and EventBridge.Event-driven architecture and asynchronous processing.Strong understanding of resiliency and scalable cloud architectures.Apply Interested candidates can share their updated CV at: 📧 james.a@dabster.net