Senior Software Engineer (Java, AWS, LMS Modernization) FinTech | Onsite

Role Overview

Seeking a Senior Software Engineer to lead the modernization and transformation of a Learning Management System (LMS) platform for a FinTech client.

This role focuses on migrating legacy LMS platforms to modern cloud-based solutions, while driving innovation through AI-enabled automation, intelligent agents, and data-driven learning systems.

You will work in a small, high-impact team and play a key role in shaping technical architecture, engineering processes, and platform strategy.

Responsibilities

• Lead migration of legacy LMS (e.g., Saba) to modern platforms (e.g., Docebo or similar)
• Design and develop scalable backend systems using Java and AWS
• Build AI-enabled automation, intelligent agents, and workflow solutions
• Develop integrations with enterprise systems such as Workday and HR platforms
• Manage configuration, builds, and release processes
• Improve CI/CD pipelines and configuration management practices
• Develop Python-based automation and AI workflows
• Implement software configuration management and version control
• Design and support automated testing and quality engineering
• Troubleshoot complex issues across environments
• Collaborate with product, engineering, and business teams
• Document architecture, processes, and system improvements
• Mentor junior engineers and promote best practices
• Ensure compliance with security and governance standards
• Stay current with AI, cloud, and LMS technologies

Required Skills

• Bachelor s degree in Computer Science or related field
• 7+ years of software engineering experience (Java)
• Strong experience with AWS (Lambda, S3, ECS, API Gateway, IAM)
• Experience with configuration management, build, and release processes
• Strong experience with enterprise integrations and APIs
• Knowledge of SDLC, testing, and automation practices
• Experience with Learning Management Systems (LMS)
• Experience working in Agile environments
• Strong problem-solving, troubleshooting, and communication skills
• Ability to lead initiatives and work in dynamic environments

Preferred Skills

• Experience with AI/ML engineering and intelligent automation
• Strong Python experience for automation or AI workflows
• Exposure to AWS Bedrock or similar AI platforms
• Experience with LMS platforms (Docebo, Cornerstone, etc.)
• Experience with Workday or HR systems
• Experience building automation testing frameworks
• Knowledge of DevOps, CI/CD, and cloud-native architectures
• Exposure to Generative AI and prompt engineering
• Experience leading modernization or migration initiatives