We are thrilled to invite an experienced Senior/Lead Java Developer to join a new project for a leading global financial market infrastructure provider and contribute to the development of business-critical platforms used across international markets. You will play a pivotal role in building scalable, user-friendly, and data-driven applications, enabling efficient field trialing and in-field decision-making.
Develop, enhance, and maintain web applications using Java and Spring Boot Build reliable and robust microservices architecture adhering to RESTful API and standards Collaborate with cross-functional teams to simplify user journeys and optimize system performance Design and implement serverless solutions leveraging AWS Lambda, API Gateway, DynamoDB, and other AWS services Ensure real-time data availability and improve application usability for field scientists Write clean, modular code aligned with Java standards and best practices Follow Agile/Scrum methodologies to deliver high-quality software solutions in iterative cycles Implement CI/CD pipelines and automation-first principles with GitLab, Docker, and Terraform Conduct TDD-driven development, covering unit, integration, and contract testing Focus on data quality within application designs, ensuring accurate inputs and reference harmonization Future-proof the technical design to support evolving data analytics needs Design, build, and deploy AI-enabled solutions using Java technologies Stay updated on the latest trends in Java and AI technologies 5+ years of experience in Java development, including Java 17+ Background in Spring Boot and/or Quarkus development Expertise in RESTful APIs and microservice architecture based on standards Experience with AWS: EKS, Lambda, DocumentDB, S3, Bedrock, EC2, StepFunction Understanding of SQL and non-relational databases Showcase of clean code practices and modular design principles Familiarity with CI/CD pipelines, GitLab, and Agile/Scrum methodologies Competency in TDD, including unit, integration, and contract testing Capability to create comprehensive API documentation using OpenAPI/Swagger Flexibility to work on Terraform, Docker, and other DevOps tools Experience with Elasticsearch Qualifications in solution design, prompt engineering, and model integration Ability to communicate effectively in both written and spoken English (B2 level) Knowledge of CI/CD practices with advanced customization Experience implementing the AI Software Development Life Cycle Experience with AI Agents Familiarity with the evaluation, monitoring, deployment, and continuous improvement of AI solutions