Description

Design and build scalable backend applications and data platforms processing billions of financial market events daily using Java and AWS.

This role is hybrid.

Responsibilities

• Design, develop, and deploy highly scalable Java-based microservices and distributed systems.
• Build and optimize data processing frameworks using Spark, Hadoop, Hive, and Presto.
• Architect high-performance REST APIs for reliable access to large-scale datasets.
• Implement data ingestion and processing solutions on AWS infrastructure (EMR, ECS, Lambda, S3).
• Maintain code quality, testing standards, and engineering best practices across the team.

Required Skills

• 8+ years of professional software engineering experience.
• 5+ years of hands-on Java backend development.
• Strong experience building distributed microservices architectures and RESTful APIs.
• 3+ years of hands-on Big Data experience with Spark, Hadoop, Hive, or Presto.
• Proven experience with AWS services including EMR, ECS, Lambda, S3, and CloudFormation.
• Experience with CI/CD pipelines and DevOps practices using Jenkins.
• Deep understanding of distributed computing and complex SQL optimization.

Preferred Skills

• Experience leveraging AI-assisted development tools to improve productivity.
• Working knowledge of Python or Unix Shell scripting.

Key Skills

Education

Any Graduate