AVP, Lead Software Engineer – .NET & AWS
Listed on 2026-10-16
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Software Development
Backend Developer, Cloud Engineer - Software, Full Stack Developer, Software Engineer
Lead with Purpose, Unlock Your Team’s Passion At LPL, people leaders hold the key to the employee experience — shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win – clients, LPL, and most importantly our, employees.
Job OverviewWe are seeking a hands-on Lead Software Engineer, AVP to build, enhance, scale, and optimize cloud-native applications on AWS. This is an individual contributor role with approximately 80% hands-on engineering and 20% technical leadership. Strong C#/.NET experience is preferred, although highly experienced Java engineers with comparable enterprise application, API, microservices, and AWS experience will also be considered. The engineer will remain actively involved in coding while providing technical direction, solution design, code reviews, mentoring, and architectural guidance.
The ideal candidate thrives in fast-paced environments, demonstrating a strong client focus and a commitment to teamwork and who is passionate about delivering exceptional client experiences.
- Lead the Design and Development:
Oversee and actively participate in the design and development of high-volume, low-latency applications for mission-critical systems, ensuring high availability and performance using C#, AngularJS, jQuery, and MS SQL Server 2022. - Collaborate with Product Teams:
Work closely with Product Owners and Product Managers to translate business challenges into effective technical solutions. - Risk Assessment and Documentation:
Conduct technical assessments of risks and issues, providing well-documented recommendations. - Coordinate Solution Design:
Collaborate with leaders from Architecture, Data, Infrastructure, and Business to optimize speed to market. - Coach and Mentor the Team:
Guide the team in developing comprehensive technical documentation in accordance with SDLC guidelines. - Facilitate Communication:
Maintain regular communication with both technical and non-technical groups. - Champion an AI- and design-enabled engineering culture aligned with enterprise standards Define governance, guardrails, and best practices for AI usage and design-to-development workflows.
- Minimum of 10 years of hands-on software engineering experience, with strong expertise in C#/.NET preferred; strong Java experience will also be considered.
- Demonstrated experience developing enterprise applications using REST APIs, microservices, relational databases, and modern software engineering/testing practices.
- Minimum of 5 years of hands-on AWS and cloud-native application development experience, building and enhancing scalable, high-performing applications and services.
- Experience with AWS services such as Lambda and Step Functions, API-first design, distributed systems, performance optimization, and production system enhancements.
- Demonstrated ability to remain hands-on with coding while providing technical leadership, including solution design, code reviews, architectural guidance, and mentoring.
- Core Competencies – AI Awareness & Design Expectations:
Experience using AI-assisted development tools such as Git Hub Copilot, Cursor, or similar tools to accelerate software development. - Familiarity with LLMs for code generation, review, refactoring, and debugging.
- Familiarity with Figma or similar tools for design collaboration.
- Understanding of responsible AI practices, including data privacy and security.
- Experience with in wealth management, fintech, or the broader financial services industry is preferred.
- Experience with API management and tools such as Swagger Hub.
- Experience with cloud transformation initiatives, with AWS strongly preferred.
- Understanding of Dev Sec Ops practices.
- Experience with source control,…
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