What if you could build a career where ambition meets innovation?

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

Join us as we create something extraordinary together.

AVP, Software Engineering — Practice Management | LPL Technologies

Why this role

Practice Management is where the firm’s operating rhythm meets the advisor experience: onboarding advisors and practices, managing compensation, registrations, fees, and the workflows operations teams run every day. We are hiring an AVP of Engineering to lead a talented team modernizing this portfolio—raising quality, increasing velocity safely, and shipping capabilities that advisors and internal partners feel immediately.

If you want a high-trust leadership seat with real technical depth—cloud-native delivery, strong engineering discipline, and practical AI (not hype)—this is a standout opportunity at LPL.

What You Will Own

• 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 tradeoffs, and communicate clearly upward and outward.
• AI, two ways:
• For customers and operations: identify high-value workflows (onboarding, exceptions, validations, investigations, decision support) where intelligent automation improves speed, accuracy, and auditability—within LPL governance.
• For engineering: accelerate delivery responsibly (design assistance, code/test/docs workflows) with standards that protect quality, security, and compliance.
  

What you will bring (hands-on to lead credibly) 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.

Must-have

• 10+ years software engineering experience in enterprise environments; 5+ years leading engineering teams (managers and senior ICs).
• Track record shipping and operating mission-critical applications; experience in regulated / financial services strongly preferred.
• Deep experience with .NET / C# and cloud-native engineering on AWS (compute, data, messaging/integration, identity patterns, observability).
• Strong SQL / relational data modeling, performance, and operational data concerns; comfort with Python for automation, services, or data/AI-adjacent workloads.
• Demonstrated success leading modernization programs (incremental migration, platform patterns, service boundaries, strangler approaches) while keeping production stable.
• Proven ability to introduce AI-enabled capabilities and/or AI-accelerated engineering with measurable impact and appropriate controls.
  
  

Strongly Preferred

• 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 where they earn their complexity.
• 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.
  
  

How you work Systems thinking, decisive prioritization, calm under ambiguity, and executive-ready communication. You raise the bar by clarifying standards, not by adding process for its own sake.

What Success Looks Like In Year One

• A healthier technical foundation: clearer ownership, better observability, fewer repeat incidents, faster safe releases.
• A team that attracts and retains strong engineers—and ships modernization milestones on a credible cadence.
• A small set of high-confidence AI wins (operations and/or product) with documented guardrails and measurable outcomes.
  
  

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