Avp SWE – Net C# Angular
gcc india
📍 hyderabad india🕐 6d ago🔗 workday
Job Description
**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 Engineer (Individual Contributor)**
**Banking & Lending Technology – LPL Financial**
Are you a senior technologist who thrives on solving complex problems and shaping platforms that matter? Do you enjoy leading through influence, challenging assumptions, and applying modern technologies—including AI—to materially improve how work gets done? If you want to play a pivotal role in transforming how technology enables advisors and their clients, **LPL Financial** is the place for you.
We are seeking an **AVP, Software Engineer (Individual Contributor)** to join our **Banking & Lending Technology** organization. This role is responsible for designing, building, and evolving **secure, scalable, and resilient digital platforms**, while also driving **AI‑enabled solutions that reduce manual effort and improve operational efficiency** across business, operations, and technology teams.
You will partner closely with **Product, Architecture, Platform, Security, Operations, and Business stakeholders** to shape technical strategy, influence platform roadmaps, and lead innovation through hands‑on execution.
**About the Role**
This is a **senior, hands‑on technical leadership role**. As an AVP IC, you will own complex systems and capabilities end‑to‑end—from architecture and design through implementation, deployment, observability, and production support. You will be expected to **set technical direction, raise engineering standards, and mentor engineers**, while remaining deeply involved in delivery.
A key expectation of this role is an **AI‑forward mindset**—identifying opportunities where AI, automation, and intelligent workflows can **eliminate manual processes, reduce operational risk, and accelerate delivery**, while meeting LPL’s security, compliance, and governance standards.
**Key Responsibilities**
* Serve as a **technical leader and problem solver** for mission‑critical banking and lending platforms.
* Design, develop, test, and deliver **full‑stack solutions** using **.NET/C#, Angular, and AWS**.
* Define and evolve **cloud‑native, microservices‑based architectures** with a focus on scalability, resiliency, and regulatory compliance.
* **Identify, design, and implement AI‑based solutions** that reduce or remove manual tasks across:
* Business workflows (e.g., instruction setup, validation, decision support)
* Operations and back‑office processes (e.g., exception handling, approvals, investigations)
* Technology and engineering workflows (e.g., testing, triage, documentation, support)
* Lead **architecture reviews, design discussions, and complex technical decision‑making** across teams.
* Provide hands‑on guidance through **code reviews, design reviews, and technical mentoring**.
* Partner with Product and Business leaders to translate strategic objectives into **scalable, automated, and AI‑enabled technical solutions**.
* Proactively identify technical debt, systemic inefficiencies, and operational risks; drive remediation and modernization.
* Ensure production readiness through strong **observability, resiliency, automation, and operational excellence** practices.
* Communicate complex technical and AI concepts clearly to both technical and non‑technical stakeholders.
**What You Will Do (Key Capabilities)**
**Service‑Oriented & Distributed Systems**
* Architect and implement **REST and gRPC APIs** using **ASP.NET Core**, clean architecture, and domain‑driven design.
* Establish and enforce **resiliency, security, and reliability patterns** (retry, circuit breaker, idempotency, least privilege).
* Design services that support **automation, decisioning, and intelligent workflows**.
**Modern Web & Platform Development**
* Build and guide development of **responsive, accessible Angular (v16+) applications and MFEs** using RxJS and modern UI patterns.
* Design front‑end experiences that **surface AI‑driven insights, recommendations, and automation** to users.
* Define best practices for **frontend–backend integration**, typed clients, and API contracts.
**AI‑Driven & Intelligent Automation**
* Demonstrate an **AI‑first mindset** by proactively identifying opportunities to:
* Automate manual reviews, validations, and data enrichment
* Reduce operational toil and exception handling
* Improve decision accuracy and cycle times
* Design and implement AI‑enabled solutions using:
* LLM‑assisted workflows, classification, summarization, and extraction
* Rule‑based + AI hybrid approaches where appropriate
* Establish guardrails to ensure AI solutions meet **security, compliance, explainability, and auditability** requirements.
* Measure and communicate the **business and operational impact** of AI solutions (time saved, risk reduced, throughput increased).
**AI‑Accelerated Engineering**
* Lead adoption of **AI‑assisted developer tools** (e.g., GitHub Copilot, Cursor, CodeWhisperer) across teams.
* Set standards for responsible use of AI in:
* Code generation and refactoring
* Test creation and coverage improvement
* Documentation and knowledge sharing
* Drive measurable improvements in **developer productivity, quality, and delivery speed**.
**Full SDLC & Operational Ownership**
* Set expectations for **unit, integration, and E2E testing** (xUnit/NUnit, Testcontainers, Playwright/Cypress).
* Influence and improve **CI/CD pipelines** with automated quality, security, and compliance checks.
* Ensure services are instrumented with **logging, metrics, tracing, and dashboards**.
* Act as an escalation point for complex production issues and lead post‑incident learning and automation.
**Required Qualifications**
* **10+ years** of hands‑on full‑stack software engineering experience.
* **10+ years** designing and building **complex, distributed systems** at scale.
* Strong expertise in **.NET/C#, Angular, JavaScript/TypeScript**, and **SQL & NoSQL** data stores.
* Extensive experience with **AWS**, including **EKS, RDS/Aurora, S3, Athena, Glue, EventBridge**, and related services.
* Demonstrated experience driving **automation or AI‑enabled solutions** that reduce manual effort.
* Proven ability to provide **technical leadership without direct people management**.
**Preferred Qualifications**
* Experience designing **AI‑enabled workflows** or intelligent automation in regulated environments.
* Strong background in **financial services, wealth management, or other regulated industries**.
* Python experience (e.g., PySpark, NumPy) for data processing or AI pipelines.
* Experience with **feature‑flagging, canary deployments, and progressive delivery**.
* Familiarity with **model governance, monitoring, and responsible AI practices**.
**Core Competencies**
* Strong executive‑level verbal and written communication skills.
* Ability to influence technical and AI strategy across teams and domains.
* Systems thinking with a focus on **eliminating inefficiency and manual work**.
* Comfort operating in **ambiguous, high‑impact environments**.
* Passion for **engineering excellence, intelligent automation, and continuous learning**.
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