Sr. Developer - Software Engineering

Job Overview

We are seeking a Senior Full Stack Developer to contribute to building the LPL Data Experience (LDX) platform—a next-generation solution enabling Business, Operations, and Data Stewards to cohesively view and manage data across multiple domains.

Responsibilities

• Work on a team responsible for building the LDX Data Experience platform.
• Develop scalable enterprise applications on AWS Cloud using containerized and serverless architectures.
• Build full-stack solutions for LDX:
• UI Development: Develop responsive, modular interfaces using Angular.
• API Development: Implement robust APIs using Python and .NET Core.
• Integrate AI-first and ML engineering principles into SDLC, embedding intelligent automation and predictive capabilities from design through deployment.
• Explore and implement AI-enabled techniques for intelligent data mapping, reconciliation frameworks, and automation.
• Champion API-first development for modular, reusable services aligned with LDX’s modernization goals.
• Implement performance optimization techniques for scalability, cost efficiency, and high availability.
• Collaborate with domain teams to deliver cohesive UI suites and integrate governance, lineage, and reconciliation workflows.
• Ensure observability and reliability by integrating monitoring tools like AWS CloudWatch and Dynatrace.
• Collaborate with other development teams, architecture, and support teams to design and maintain platform integrations.
• Provide technical troubleshooting and advanced debugging support.
• Stay current with emerging technologies and continuously improve development practices.

Requirements

• 4+ years of experience in full-stack development with strong hands-on coding expertise.
• 4+ years proficiency in: Frontend: Angular, TypeScript, HTML/CSS; Backend: Python, .NET Core.
• 4+ years of experience/understanding of Angular concepts (components, modules, services, dependency injection).
• 4+ years of expertise in API-first architecture and event-driven microservices for scalable applications.
• 2+ years experience with AWS services (EC2, Fargate, Lambda, Glue, S3, RDS, Redis, ElasticCache).

Preferences

• Hands-on experience with Infrastructure as Code (Terraform) and DevOps practices.
• Familiarity with AI-powered developer tools (e.g., Cursor, GitHub Copilot) for code generation, refactoring, and documentation.
• Experience with ML engineering practices, including model integration, orchestration, and lifecycle management.
• Solid understanding of data engineering concepts, integration patterns, and real-time data processing.
• Experience with observability tools (AWS CloudWatch, Dynatrace) for monitoring and troubleshooting.
• Proven ability to write efficient, optimized code and apply caching strategies for high-performance applications.
• Strong problem-solving skills and eagerness to learn new technologies.