AVP, Senior Full Stack Software Engineer (AI & Cloud Platforms)

LPL Financial•Charlotte, TX

About The Position

As an AVP, Full Stack Developer at LPL Financial, you will be a key contributor to designing, developing, and maintaining robust and scalable financial technology solutions. You will work across the entire software development life cycle, from front-end user interfaces to back-end services and database interactions, ensuring high-quality and performant applications that meet business needs. This role involves leveraging AI tools to accelerate development and understanding responsible AI usage.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
Minimum of 7 years of progressive experience in full-stack software development.
Strong proficiency in at least one modern front-end framework (e.g., React, Angular, Vue.js) and associated technologies (HTML5, CSS3, JavaScript/TypeScript).
Extensive experience with at least one back-end programming language (e.g., Java, Python, C#) and relevant frameworks (e.g., Spring Boot, .NET Core, Django, Flask).
Solid understanding of relational and/or NoSQL databases, including schema design, querying, and optimization.
Familiarity with CI/CD pipelines and DevOps practices.
Demonstrated ability to work independently and collaboratively in a fast-paced, agile environment.
Excellent problem-solving, analytical, and communication skills.

Nice To Haves

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is highly desirable.
Familiarity with Figma for design collaboration
Experience in the financial services industry is a plus.

Responsibilities

Develop and maintain full-stack applications using a variety of technologies, including front-end frameworks (e.g., React, Angular, Vue.js), back-end languages (e.g., Java, Python, C#), and database systems (e.g., SQL Server, Oracle, MongoDB).
Collaborate with product owners, business analysts, and other developers to understand requirements, design technical solutions, and estimate effort.
Write clean, efficient, well-documented, and testable code following best practices and architectural patterns.
Participate in code reviews to ensure code quality, consistency, and adherence to standards.
Design and implement RESTful APIs and microservices.
Troubleshoot and debug production issues, providing timely resolutions and root cause analysis.
Contribute to continuous improvement initiatives for development processes, tools, and methodologies.
Mentor junior developers and share knowledge within the team.
Stay up-to-date with emerging technologies and industry trends.
Using AI copilots (GitHub Copilot, Cursor, Antigravity) to accelerate development
Applying LLMs (ChatGPT, Claude, Gemini) for code generation, review, refactoring, debugging
Understanding responsible AI usage including data privacy and security
Understanding how to deploy agents to production scale using AWS Bedrock, Vercel, etc.