AVP – Software Engineering

LPL Financial • New York, NY

1d • Hybrid

About The Position

We are seeking a highly skilled Full Stack Developer to join our team building the LPL Data Experience (LDX) platform—a cutting-edge solution enabling Business, Operations, and Data Stewards to cohesively view and manage data across multiple domains. This role is ideal for self-driven engineers who thrive in a fast-paced environment and can design and deliver innovative solutions with minimal direction. You will work on high-impact projects, applying an AI-first approach and ML engineering principles integrated into the SDLC to accelerate solution development and deliver faster time-to-market for critical business needs such as reconciliation frameworks, data governance, and lifecycle management.

Requirements

• 5+ years of experience in full-stack development and solution design.
• 5+ years of strong proficiency in:
• Frontend: Angular, TypeScript, HTML/CSS.
• Backend: Python, .NET Core.
• 5+ years experience of Angular concepts such as components, modules, services, and dependency injection.
• 5+ years of expertise in API-first architecture, including designing and implementing RESTful and event-driven microservices.
• 3+ years advanced experience with AWS services (EC2, Fargate, Lambda, Glue, S3, RDS, Redis, ElasticCache) and serverless architectures.

Nice To Haves

• Hands-on experience with Infrastructure as Code (Terraform) and DevOps practices.
• Experience leveraging AI-powered developer tools (e.g., Cursor, GitHub Copilot) for code generation, refactoring, and documentation.
• Familiarity with ML engineering practices, including model integration, orchestration, and lifecycle management.
• Strong understanding of data engineering concepts, integration patterns, and real-time data processing.
• Proven ability to apply performance optimization techniques, including caching strategies and efficient API design.
• Hands-on experience with observability tools (AWS CloudWatch, Dynatrace) for monitoring and troubleshooting.
• Ability to drive projects independently, mentor junior developers, and deliver innovative solutions.
• Excellent problem-solving and communication skills.

Responsibilities

• Design and develop scalable enterprise applications with expertise in full-stack development on AWS Cloud using containerized and serverless architectures.
• Architect and implement solutions that enable cohesive data management across multiple domains within the LDX platform, including:
• UI Development: Build responsive, scalable interfaces using Angular.
• API Development: Create robust system and process APIs using Python and .NET.
• Optimize event-driven microservices to support real-time data flows and operational processes.
• Integrate AI-first and ML engineering principles into SDLC, embedding intelligent automation and predictive capabilities from design through deployment.
• Implement AI-enabled solutions for use cases such as intelligent data mapping and agentic AI reconciliation frameworks.
• Champion API-first development principles to deliver modular, reusable services that accelerate LDX’s scalability and modernization goals.
• Evaluate new design proposals, investigate and recommend solutions and process improvements that deliver applications with high scalability and performance.
• Apply optimization techniques for performance, scalability, and cost efficiency.
• Collaborate with domain teams and partners to deliver cohesive UI suites that accelerate product vision and deliver business value.
• Collaborate with data stewardship teams to embed governance, lineage, and reconciliation frameworks into platform workflows.
• Provide technical leadership through best practices in AI/ML integration, cloud-native development, and modern SDLC methodologies.

Benefits

• LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play – such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed