AVP, Software Engineering Python AWS/Cloud

At LPL Financial Global Capability Center, you will find a collaborative culture where your voice matters, integrity guides every decision, and technology fuels progress. Your skills, talents, and ideas will redefine what is possible. LPL success reflects its exceptional employees, who together pursue one noble purpose: empowering financial advisors to deliver personalized advice for all who need it. We are proud to expand in Hyderabad.

Join us as we create something extraordinary together.

Job Overview:

We are seeking a highly skilled Assistant Vice President to join our Direct Business and LPL Data Experience (LDX) team. This role is critical to designing and implementing modern, cloud-based data and application capabilities that will transform how Direct business data is ingested, managed and leveraged for various business functionalities within the firm for advisors, investors across the enterprise. This role is critical to designing and implementing modern, cloud-based data and application capabilities that will transform how compensation processing, data flows, validation, and automation operate across the enterprise.

The ideal candidate will bring strong experience in Angular or REACT with Python, AWS and .NET API development with strong SQL database experience.

You will work closely with architects, product teams, compensation SMEs, and engineering partners to deliver scalable, resilient, and future-ready systems that modernize the compensation platform end-to-end.

Responsibilities:

- Leadership: Build, coach, and develop engineers; set a culture of ownership, craftsmanship, and customer empathy. Hire and grow leaders.

- Modernization: Drive a pragmatic roadmap to improve architecture, reduce risk, retire debt, and migrate toward durable cloud patterns - without big bang disruption to the business.

- Quality at scale: Establish engineering standards for reliability, security, observability, testing, and operational readiness in business-critical systems.

- Cross-functional partnership: Work tightly with Product, Architecture, Platform, Security, Operations, and business stakeholders to prioritize outcomes, manage trade-offs, and communicate clearly upward and outward.

- AI, two ways: For customers and operations: identify high-value workflows where intelligent automation improves speed, accuracy, and auditability - within LPL governance. For engineering: accelerate delivery responsibly with standards that protect quality, security, and compliance.

- What you will bring: You are expected to be technically credible with complex enterprise systems - even as your primary job is leading the team. You should be comfortable diving into architecture reviews, critical incidents, and the hardest design decisions.

Requirements:

- 10+ years software engineering experience in enterprise environments; 5+ years leading engineering teams.

- Track record shipping and operating mission-critical applications; experience in regulated/financial services strongly preferred.

- Experience with .NET/C# and cloud-native engineering on AWS.

- Experience with SQL/relational data modelling, performance, and operational data concerns; comfort with Python for automation, services, or data/AI-adjacent workloads.

- Demonstrated success leading modernization programs while keeping production stable.

Preferences:

- Domain familiarity with advisor/practice onboarding, compensation, registration/licensing workflows, or fee/billing platforms.

- Experience with distributed systems, APIs, event-driven patterns, and pragmatic microservices.

- Background shaping CI/CD, automated testing strategy, SRE practices, incident learning, and engineering metrics.

- Familiarity with model/workflow governance, monitoring, and responsible AI practices in enterprise settings.