We're looking for a Senior/Lead Java Developer to join our global delivery team in a fully remote working mode. In this role, you will work on a strategic project for a leading global financial market infrastructure provider, developing scalable, data-driven platforms that support critical business operations across international markets. You will design and deliver high-performance applications using modern Java frameworks, microservice architecture, and cloud-native technologies, while also focusing on AI-enabled innovation and automation to improve user experience and real-time decision-making.
Responsibilities
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Develop, enhance, and maintain applications using Java (17+) and Spring Boot or Quarkus
- Build reliable, scalable microservices aligned with RESTful APIs and HTTP standards
- Design and deploy serverless solutions using AWS services such as Lambda, API Gateway, DynamoDB, and Step Functions
- Collaborate with cross-functional teams to optimize system performance and simplify user workflows
- Implement CI/CD pipelines via GitLab, ensuring automation and robust deployment practices
- Apply Test-Driven Development (TDD) principles for unit, integration, and contract tests
- Maintain data accuracy and quality across application workflows and reference data
- Create API documentation with OpenAPI/Swagger and enforce clean code principles
- Leverage DevOps tools (Terraform, Docker) for infrastructure automation
- Explore and integrate AI capabilities to support advanced analytics and automation
- Stay current with emerging trends in Java development and AI-driven application design
Requirements
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5+ years of proven experience in Java development (Java 17 or newer)
- Strong background in Spring Boot and/or Quarkus frameworks
- Hands-on experience in microservices architecture and RESTful API design
- Knowledge of cloud-native development, with hands-on AWS experience (EKS, Lambda, S3, DocumentDB, Bedrock, Step Functions)
- Familiarity with both SQL and NoSQL databases
- Competency in CI/CD, GitLab pipelines, and Agile/Scrum practices
- Proficiency in TDD and API documentation frameworks (OpenAPI/Swagger)
- Understanding of DevOps tools such as Docker, Terraform, Kubernetes
- Good working knowledge of Elasticsearch and real-time data solutions
- Strong communication skills in English (B2 level or higher)
Nice to have
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Familiarity with deploying and optimizing AI-enabled services and solutions
- Knowledge of AI Software Development Life Cycle and prompt engineering concepts
- Understanding of AI agent integration and monitoring in production environments
- Experience with advanced CI/CD customization and observability tooling
We offer
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Competitive compensation depending on experience and skills
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Variety of projects within one company
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Being a part of a project following engineering excellence standards
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Individual career path and professional growth opportunities
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Internal events and communities
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Flexible work hours
