Senior Software Engineer - NET/C#, Angular and AWS

LPL Financial•Charlotte, TX

About The Position

LPL Financial is seeking a talented, experienced Senior Software Engineer to join its Investor Data Technology team. The role contributes to a platform serving approximately 4 million users and focuses on delivering high-quality, scalable, and reliable data solutions. The successful candidate will bring hands-on engineering experience, thrive in a fast-paced environment, and collaborate with a high-performing team to build and maintain data-driven platforms. The engineer will develop and support full-stack applications and cloud-native microservices using .NET/C#, Angular, AWS, SQL, and NoSQL technologies. The role includes building APIs, data integrations, and ETL/data pipeline components; maintaining secure, reliable, high-performing solutions; contributing to architecture and code reviews; and improving existing applications. The position also supports CI/CD and DevOps practices, technical documentation, platform roadmaps, and continuous improvement. LPL encourages using AI-assisted development tools and modern engineering practices to improve productivity, code quality, and delivery efficiency.

Requirements

8+ years of hands-on experience in full-stack software development using .NET/C#, Angular, and JavaScript/TypeScript.
8+ years of experience building and deploying applications on AWS, including EKS, RDS/Aurora, S3, Athena, and EventBridge.
6+ years of experience designing and developing distributed, scalable, and resilient systems.
Experience developing ETL processes, data integrations, and data pipelines.
6+ years of experience with source control, CI/CD pipelines, and DevOps tools such as GitHub, TeamCity, Octopus, Jenkins, or similar platforms.
Strong analytical, problem-solving, and debugging skills.
Excellent verbal and written communication skills.
Ability to translate business requirements into practical technical solutions.
Strong collaboration and teamwork skills with a customer-focused mindset.
Ability to prioritize and execute effectively in a fast-paced Agile environment.
Passion for continuous learning, innovation, and engineering excellence.

Nice To Haves

Experience using AI-assisted development tools such as GitHub Copilot, Copilot Chat, Cursor, or similar technologies.
AWS Associate-level certification, such as Developer, Solutions Architect, or equivalent.
Hands-on experience with Kong API Gateway.
Experience building and supporting APIs and microservices architectures.
Familiarity with GitHub Copilot and other AI-assisted software development tools.

Responsibilities

Design, develop, test, and support scalable full-stack applications and cloud-native microservices using .NET/C#, Angular, AWS, SQL, and NoSQL technologies.
Build and maintain secure, reliable, and high-performing solutions, including APIs, data integrations, and ETL/data pipeline components.
Collaborate with product owners, architects, platform teams, and engineers to deliver solutions aligned with business objectives.
Participate in architecture discussions, design reviews, and code reviews while promoting engineering best practices, SDLC standards, and quality-focused development.
Troubleshoot, optimize, and enhance existing applications to improve performance, scalability, reliability, and user experience.
Implement and support CI/CD pipelines, DevOps practices, and cloud-native deployment patterns to accelerate software delivery.
Contribute to technical documentation, platform roadmaps, and continuous improvement initiatives.
Leverage AI-assisted development tools and modern engineering practices to improve productivity, code quality, and delivery efficiency.
Communicate with technical and business stakeholders to translate requirements into scalable technical solutions.