Senior Backend Engineer

Quick Facts

• Role: Senior Backend Engineer
• Work setup: Fully remote (contract)

Description

You will build and lead backend systems for a platform that helps financial analysts monitor U.S. market integrity. The work includes greenfield microservices and high-performance API platforms on AWS, processing large volumes of market events using distributed big data technologies. You’ll also use AI-assisted development tools throughout the full SDLC.

Responsibilities

• Design, develop, test, implement, and support solutions in an Agile environment using distributed microservices architecture and big data technologies (Hive, Presto, Spark, Hadoop)
• Build and maintain high-performance API platforms on AWS, enabling interactive-speed access to big data while following AWS Well-Architected principles
• Collaborate with cross-functional teams on requirements and test scenarios to deliver scalable solutions
• Use AI tools (e.g., Kiro or similar) to improve development efficiency, code quality, and innovation across design, testing, deployment, and production support
• Stay current with emerging AI/ML and technology trends and contribute to internal/external technology communities

Requirements

• Bachelor’s degree in computer science, Information Technology, Engineering, or related technical field
• 8+ years of professional software engineering experience with demonstrated leadership
• 3+ years working with big data technologies such as Hadoop, Spark, or Presto with deep internals and performance tuning/optimization
• 3+ years hands-on development experience in Java, JavaScript/TypeScript, or SQL
• 2+ years developing REST/web services and writing complex SQL queries for relational databases
• AWS experience including EMR (Hive/Presto), ECS, Lambda, and S3; able to diagnose and resolve performance bottlenecks at scale
• Proficiency with DevOps practices and CI/CD pipelines using Jenkins and CloudFormation
• Working knowledge of scripting languages such as Unix Shell or Python
• Hands-on experience using LLM-based coding tools (e.g., Kiro, GitHub Copilot, or similar) across the full development lifecycle with disciplined validation of outputs

Benefits

• Greenfield architecture opportunity and room to set ambitious technical standards
• Strong work-life balance