Senior .Net Full Stack Developer Senior

LPL Financials; Hyderabad; Hybrid; INR 2,500,000 - 5,000,000; Full time

Job summary

LPL Financials in Hyderabad, India is seeking a Senior Full Stack Engineer to support modernization of legacy and critical applications, with AI-assisted engineering to improve efficiency and code quality.

The role collaborates with architects, SRE, QA, and business partners to drive cloud-ready modernization, troubleshooting, and scalable enhancements while managing incidents and documenting runbooks.

Qualifications

• 6+ years of full stack development experience with .NET, Angular, REST APIs, and relational databases.
• 6+ years with enterprise design processes (sequence/activity diagrams, architecture reviews).
• 6+ years building APIs and microservices using cloud-native or cloudready patterns.
• 5+ years of relational/nonrelational database experience (SQL Server, PostgreSQL, DynamoDB, DocumentDB).
• 3+ years hands-on AWS experience (Lambda, Step Functions, CloudFront, S3, API Gateway, Fargate/EKS, DynamoDB).
• 2+ years of SRE responsibilities (monitoring, reliability engineering, incident management).
• Experience using AI-assisted engineering tools or demonstrable ability to learn and adopt AI-led delivery practices.

Responsibilities

• Operate, maintain, enhance, and stabilize legacy and modern applications across Business Solutions.
• Lead foundational upgrades (framework updates, infrastructure refreshes, security patching, performance improvements).
• Modernize legacy systems using cloud-ready patterns, microservices, and API-driven designs.
• Use AI-assisted development tools (e.g., GitHub Copilot, code-generation frameworks, intelligent automation) to accelerate modernization and improve engineering quality.
• Apply AI-driven monitoring and observability insights to reduce incidents, identify trends, and improve reliability.
• Perform advanced troubleshooting, triage, root-cause analysis, and incident resolution.
• Participate in architecture/design reviews and ensure modernization & AI-assisted practices are represented in solution planning.
• Estimate engineering effort for enhancements, upgrades, and technical debt remediation.
• Maintain high-quality technical documentation and runbooks.
• Collaborate with SRE to improve monitoring, alerting, resiliency, and automation-driven runtime operations

Skills

Full stack development

.NET

Angular

REST APIs

Relational databases

Legacy modernization

AI-assisted engineering

SRE collaboration

Cloud-native / cloudready

Problem solving

Tools

AWS

DynamoDB

S3

Lambda

API Gateway

Fargate/EKS

Step Functions

CloudFront

Kubernetes

SwaggerHub

GitHub Copilot

Code generation frameworks

Job description

Hi,

Hope youre doing well,

LPL is a Fortune 500 wealth management firm in the US, supporting close to 30,000 financial advisors and over 1,000 institutions through its platforms and services. The firm manages approximately $1.9 trillion in assets and has a global workforce of 9,000+ employees, continuing to grow year over year.

As part of this growth, LPL is expanding its global footprint through LPL GBS and setting up a Global Capability Center (GCC) in Hyderabad to build scalable business, technology, and operations capabilities.

Job Overview

We are seeking a Senior Full Stack Engineer to support the operation, maintenance, modernization, and AIenabled evolution of legacy and businesscritical applications across the Business Solutions Technology organization. This role focuses on improving system stability, reducing technical debt, modernizing applications, and driving efficiency through intelligent automation and AIassisted engineering methods.

You will collaborate with architects, SRE, QA, and business partners to troubleshoot issues, deliver enhancements, strengthen platform reliability, and support cloudready modernization. The role requires handson engineering expertise, the ability to work across a mix of modern and legacy platforms, and openness to leveraging AI and generative tools to accelerate delivery and improve code quality.

Responsibilities

• Operate, maintain, enhance, and stabilize legacy and modern applications across Business Solutions.
• Lead foundational upgrades (framework updates, infrastructure refreshes, security patching, performance improvements).
• Modernize legacy systems using cloudready patterns, microservices, and APIdriven designs.
• Use AIassisted development tools (e.g., GitHub Copilot, codegeneration frameworks, intelligent automation) to accelerate modernization and improve engineering quality.
• Apply AIdriven monitoring and observability insights to reduce incidents, identify trends, and improve reliability.
• Perform advanced troubleshooting, triage, rootcause analysis, and incident resolution.
• Participate in architecture/design reviews and ensure modernization & AIassisted practices are represented in solution planning.
• Estimate engineering effort for enhancements, upgrades, and technical debt remediation.
• Maintain highquality technical documentation and runbooks.
• Collaborate with SRE to improve monitoring, alerting, resiliency, and automationdriven runtime operations

What Are We Looking For?

Were looking for a handson engineer who thrives in complex legacy environments, champions modernization, and embraces AIenabled engineering to drive efficiency and resilience. Ideal candidates demonstrate ownership, technical depth, and the ability to deliver durable, maintainable solutions.

Requirements

• 6+ years of full stack development experience with .NET, Angular, REST APIs, and relational databases.
• Strong experience supporting and modernizing legacy enterprise applications.
• 6+ years with enterprise design processes (sequence/activity diagrams, architecture reviews).
• 6+ years building APIs and microservices using cloud-native or cloudready patterns.
• 5+ years of relational/nonrelational database experience (SQL Server, PostgreSQL, DynamoDB, DocumentDB).
• 3+ years handson AWS experience (Lambda, Step Functions, CloudFront, S3, API Gateway, Fargate/EKS, DynamoDB).
• 2+ years of SRE responsibilities (monitoring, reliability engineering, incident management).
• Experience using AIassisted engineering tools or demonstrable ability to learn and adopt AIled delivery practices.

Core Competencies

• Strong analytical and problemsolving skills, especially in large and complex legacy systems.
• Experience refactoring, upgrading, and unit testing applications.
• Understanding of both Waterfall and Agile development methodologies.
• Strong communication and collaboration skills, with the ability to partner effectively across engineering and business teams.
• Interest in or experience using AI-assisted delivery frameworks and intelligent automation.

Preferences

• Experience with API documentation tools (e.g., SwaggerHub).
• Exposure to DevSecOps, CI/CD automation, and release pipelines.
• Experience mentoring developers and promoting engineering best practices.
• Experience with modernization patterns for monolithic .NET or legacy distributed systems.
• Familiarity with AI-driven observability, automated testing, or codegeneration tools.

Core Competencies

• Strong verbal and written communication skills.
• Excellent analytical, estimation, and problemsolving abilities.
• Ability to translate business needs into technical solutions.
• Proven ability to plan, prioritize, and execute in a fastpaced environment.
• Teamoriented mindset with a passion for continuous learning and improvement.