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AVP Tech, Software Development

GCC India -
Hyderabad, Telangana

Apply Now

Job details

Full-time
9 days ago

Qualifications

CI/CD
Wealth management
Law
ASP.NET Core
Full-stack development
C#
NumPy
NoSQL
Git
.NET
Master's degree
xUnit
SQL
AWS
JavaScript
Distributed systems
Continuous integration
REST
Angular
GitHub
APIs
S3
Financial services
AI
RDS database
gRPC
TypeScript
Communication skills
Python
SDLC

Full job description

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.

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.

LPL Global Business Services, LLP - PRIVACY POLICY

Apply Now

Refine Your Search

store executive / front office executive jobs

AVP Tech, Software Development

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