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Sr. Developer - Software Engineering

Job in Austin, Travis County, Texas, 78716, USA
Listing for: LPL Financial
Full Time position
Listed on 2026-05-28
Job specializations:
  • Software Development
    Software Engineer, Full Stack Developer, Cloud Engineer - Software, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Where Ambition Meets Innovation

Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

Where Ambition Meets Innovation

Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.

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. This role is ideal for hands-on engineers who are passionate about solving complex problems, eager to learn new technologies, and thrive in a fast-paced environment.

You will work on high-impact projects, applying API-first principles, modern cloud technologies, and AI-first approaches integrated into the SDLC to accelerate solution development and deliver faster time-to-market for critical business needs such as reconciliation frameworks, reporting, and data optimization.

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 Cloud Watch 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.
What are we looking for? We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement

Requirements:

  • 4+ years of experience in full-stack development with strong hands-on coding expertise.
  • 4+ years proficiency in:
    • Frontend:
      Angular, Type Script, HTML/CSS.
    • Backend:
      Python, .NET Core.
  • 4+ years 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, Elastic Cache).
Preferences:

  • Hands-on experience with Infrastructure as Code (Terraform) and Dev Ops practices.
  • Familiarity with AI-powered developer tools (e.g., Cursor, Git Hub 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 Cloud Watch, Dynatrace) for monitoring and troubleshooting.
  • Proven ability to write efficient, optimized code and apply caching…
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