Senior Software Engineer

Job Overview

As a Senior Full‑Stack Software Engineer, you will contribute to the design, delivery, and support of modern, cloud‑native platforms that enable LPL’s business and client experiences. This role involves hands‑on engineering across the full development lifecycle, with opportunities to apply AI‑assisted development tools to build secure, scalable, and well‑architected solutions. You will collaborate with partners across Product, Design, Platform, and Operations, contributing to systems that align with LPL’s software development lifecycle (SDLC) and risk management practices.

• Design, develop, test, and support full‑stack applications using .NET/C#, Angular, and AWS services.
• Build and maintain cloud‑native, containerized services and service‑oriented APIs.
• Participate in design and code reviews, contributing to shared standards and implementation practices aligned with LPL SDLC and risk management processes.
• Partner with Product, Design, Platform, and Operations teams to deliver integrated, reliable solutions.
• Identify opportunities to improve applications, development processes, and platform capabilities; contribute to technical documentation and roadmaps.
• Design and implement REST and gRPC services using ASP.NET Core, applying clean architecture and domain‑driven design concepts.
• Apply resiliency and security patterns such as retry logic, circuit breakers, idempotency, and least‑privilege access.
• Develop responsive and accessible Angular (v16+) user interfaces, including micro‑frontend architectures, using RxJS and modern UI patterns.
• Use AI‑assisted development tools (Git Hub Copilot, Copilot Chat, Cursor, Code Whisperer) to support coding, testing, refactoring, documentation, and reviews.
• Contribute to CI/CD pipelines with automated quality and security checks.

• Experience building full‑stack applications using .NET/C#, Angular, Type Script/JavaScript, and relational or No
  
  SQL databases.
• Experience designing and supporting distributed or service‑oriented systems.

• Clear written and verbal communication.
• Analytical thinking and problem‑solving skills.
• Ability to translate business needs into technical solutions.
• Ability to plan, prioritize, and deliver work in a dynamic environment.
• Collaborative mindset with an interest in learning and continuous improvement.

• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Experience in financial services, wealth management, or asset management environments.
• Exposure to reporting or data processing tools; experience with Python (including PySpark or Num Py) is helpful.
• Experience with observability, feature‑flagging, and production support in regulated environments.

Position does not offer work authorization sponsorship. Candidates must have valid U.S. work authorization that does not require employer sponsorship.

Pay Range: $ - $. Actual base salary varies based on factors such as skill, experience, education, internal peer salary, performance, and location.

LPL Total Rewards package includes 401K matching, health benefits, employee stock options, paid time off, and volunteer time off.

Principals only. EOE.