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Luxoft is an IT consulting and software engineering services firm that provides bespoke technology solutions to external clients, often operating as a staff augmentation or professional services provider.

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Posted 5d ago

Senior Java Full-Stack Developer

@ Luxoft
View All Jobs
Bengaluru, Karnataka, India
OnsiteFull Time
Responsibilities:designing backend, building pipelines, enabling reporting
Requirements Summary:7+ years Java (Java 8+), Spring/Spring Boot, REST/microservices, Docker (Kubernetes a plus), Apache Iceberg, SQL, data pipeline and analytics experience, familiarity with AI-assisted development tools.
Technical Tools Mentioned:Java 8+, Spring, Spring Boot, Docker, Kubernetes, Apache Iceberg, Amazon QuickSight, SQL, GitHub Copilot, ChatGPT, Kafka, Spark, S3, Athena, Glue, IAM
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Job Description

Project description

We are looking for a Senior Java Engineer to join our Capital Markets technology team and contribute to building a modern analytics platform. This role combines strong backend engineering expertise with hands-on work across the data layer and visualization layer, leveraging technologies such as Apache Iceberg and Amazon QuickSight.
You will work on client-server analytics applications, primarily on the backend, while playing a key role in enabling scalable data solutions and delivering business insights.

Responsibilities

  • Key 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

Skills

Must have

  • 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 (Apache Iceberg preferred)
  • Strong proficiency in SQL, data modeling, and large-scale data processing
  • Experience with AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, etc.) and integrating them into daily workflows
  • Familiarity with Agentic SDLC concepts (AI-driven development workflows, automation of coding/testing/review processes)
  • 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

Other

Languages: English: C1 Advanced

Seniority: Senior