Senior Software Engineer
Role details
Job location
Tech stack
Job description
In this service-oriented engineering role, you will own features from design through production support, leveraging modern .NET, Angular, AWS, and AI-accelerated development tools. You'll partner closely with Product, Design, Platform, and Operations teams to deliver resilient, observable, and well-architected solutions aligned with LPL's SDLC and risk management standards., * Design, develop, test, and implement full-stack solutions using .NET/C#, Angular, and AWS.
- Build and maintain cloud-native, containerized microservices and service-oriented APIs.
- Provide technical leadership through design reviews, code reviews, and best-practice implementation aligned with LPL SDLC and RM processes.
- Collaborate with cross-functional teams (Product, Design, Platform, Ops) to deliver integrated, high-quality solutions.
- Identify opportunities for application and process improvements; contribute to platform roadmaps and technical documentation.
- Design and implement REST and gRPC services using ASP.NET Core with clean architecture and domain-driven principles.
- Apply resiliency and security patterns such as retry, circuit breaker, idempotency, and least-privilege access.
- Build responsive, accessible Angular (v16+) applications and micro-frontends using RxJS and modern UI patterns.
- Leverage AI developer tools (e.g., GitHub Copilot, Copilot Chat, Cursor, CodeWhisperer) to accelerate coding, testing, refactoring, documentation, and reviews.
- Build and maintain CI/CD pipelines with automated quality and security gates.
Requirements
- 5+ years of hands-on full-stack software development experience.
- 5+ years designing and implementing complex, distributed systems.
- Strong experience with .NET/C#, Angular, TypeScript/JavaScript, and SQL & NoSQL databases.
- 5+ years of AWS cloud development and deployment experience (EKS, RDS/Aurora, S3, EventBridge, Athena, Glue).
- Experience building ETL and data pipelines from structured and unstructured data sources.
Core Competencies
- Strong verbal and written communication skills.
- Excellent analytical, estimation, and problem-solving abilities.
- Ability to translate business needs into scalable technical solutions.
- Proven ability to plan, prioritize, and execute in a fast-paced environment.
- Team-oriented mindset with a passion for continuous learning and improvement.
Preferences
- Containerization and orchestration experience (Docker, Kubernetes).
- Experience in financial services, wealth management, or asset management.
- Reporting and data experience; Python (PySpark/NumPy) a plus.
- Experience with observability, feature-flagging, and production support in regulated environments.
Please note: This position does not offer work authorization sponsorship now or in the future. Applicants must have valid U.S. work authorization that does not require employer sponsorship.
Benefits & conditions
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, 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. Your recruiter will be happy to discuss all that LPL has to offer!