Senior Java Full-Stack Developer
Luxoft
Hyderabad, Telangana, IndiaSENIOR
Senior Java Full-Stack DeveloperCapital MarketsAnalytics PlatformData ProcessingEnterprise Applications
Job Description
Luxoft is seeking a Senior Java Engineer to join its Capital Markets technology team and contribute to building a modern analytics platform. The role requires strong backend engineering expertise with hands-on work across the data layer and visualization layer using technologies like Apache Iceberg, Amazon QuickSight.
Responsibilities
- Design and develop robust Java-based backend services for analytics applications
- Build and optimize data pipelines and storage solutions using Apache Iceberg
- Work with large-scale financial datasets ensuring performance and scalability
- Enable reporting and insights through integration with Amazon QuickSight
- Develop APIs supporting both real-time and batch analytics workflows
- Collaborate closely with data engineers, analysts, and business stakeholders
- Contribute to architecture decisions, system design, and best engineering practices
Qualifications
- 7–10+ years of experience in Java development (Java 8+)
- Strong experience with Spring / Spring Boot ecosystem for building enterprise applications
- Experience designing and building RESTful APIs and microservices architectures
- Solid understanding of containerization and deployment (Docker; Kubernetes is a plus)
- Experience with distributed systems, multithreading, and performance optimization
- Hands-on experience with data lake technologies like Apache Iceberg
- Strong proficiency in SQL, data modeling, and large-scale data processing
- Experience working with AI-assisted development tools such as GitHub Copilot & ChatGPT
- Familiarity with Agentic SDLC concepts and AI-driven development workflows
- Experience working with capital markets systems (trading, risk, or analytics)
- Strong understanding of software engineering best practices (CI/CD, testing frameworks, code quality, version control)
Nice to have
- Knowledge of AWS ecosystem (S3, Athena, Glue, QuickSight, IAM, etc.)
- Experience with Kafka, Spark, or other data processing frameworks
- Familiarity with microservices and cloud-native architecture patterns
- Knowledge of financial instruments and analytics workflows