Senior Software Engineer (Java, AWS, LMS Modernization) | Onsite VA/MD

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

Location: Rockville, MD / Tyson, VA (5 days onsite)

Interview Process:

Round 1: 1.30-min Phone/Virtual

Round 2: In-person (Rockville, MD / Tyson, VA)

Work Authorization: Open to H1B transfers and candidates on(OPT, , L2), as well as be local to the MVD area at the time of interview

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