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.
Job Summary
We are seeking a talented and experienced Full Stack Engineer to support the
operation, maintenance, modernization, and AI‑enabled evolution
of legacy and business‑critical 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 AI‑assisted engineering methods. You will collaborate with architects, SRE, QA, and business partners to troubleshoot issues, deliver enhancements, strengthen platform reliability, and support cloud‑ready modernization. The role requires excellent 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.
Job Responsibilities
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Operate, maintain, enhance, and stabilize legacy and modern applications across Business Solutions.
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Lead foundational upgrades (framework updates, infrastructure refreshes, security patching, performance improvements).
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Modernize legacy systems using cloud‑ready patterns, microservices, and API‑driven designs.
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Use AI‑assisted development tools (e.g., GitHub Copilot, code‑generation frameworks, intelligent automation) to accelerate modernization and improve engineering quality.
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Apply AI‑driven monitoring and observability insights to reduce incidents, identify trends, and improve reliability.
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Perform advanced troubleshooting, triage, root‑cause analysis, and incident resolution.
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Participate in architecture/design reviews and ensure modernization & AI‑assisted practices are represented in solution planning.
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Estimate engineering effort for enhancements, upgrades, and technical debt remediation.
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Maintain high‑quality technical documentation and run‑books.
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Collaborate with SRE to improve monitoring, alerting, resiliency, and automation‑driven run‑time operations.
What Are We Looking For?
We’re looking for a hands‑on engineer who thrives in complex legacy environments, champions modernization, and embraces
AI‑enabled engineering
to drive efficiency and resilience. Ideal candidates demonstrate ownership, technical depth, and the ability to deliver durable, maintainable solutions.
Job Qualifications
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Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
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3+ years of professional experience in full stack development experience with .NET, Angular, REST APIs, and relational databases.
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Proficiency in C#, ASP.NET MVC, ASP.NET Web API, and .NET Core.
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Solid experience with front-end development technologies, including JavaScript, TypeScript, Angular (preferred) or React, HTML5, and CSS3.
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Strong understanding of relational databases (e.g., SQL Server, PostgreSQL) and experience with ORM frameworks (e.g., Entity Framework Core).
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Strong experience supporting and modernizing legacy enterprise applications.
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3+ years hands‑on AWS experience (Lambda, Step Functions, CloudFront, S3, API Gateway, Fargate/EKS, DynamoDB).
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Familiarity with source control systems (e.g., Git) and CI/CD pipelines.
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Experience with unit testing, integration testing, and mocking frameworks.
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Knowledge of software design patterns and architectural principles.
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Excellent problem-solving skills and the ability to work independently and as part of a team.
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Strong communication and interpersonal skills.
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Experience using AI‑assisted engineering tools or demonstrable ability to learn and adopt AI‑led delivery practices.
Core Competencies
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Strong analytical and problem‑solving skills, especially in large and complex legacy systems.
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Experience refactoring, upgrading, and unit testing applications.
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Strong communication and collaboration skills, with the ability to partner effectively across engineering and business teams.
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Interest in or experience using AI-assisted delivery frameworks and intelligent automation.
Preferences
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Experience with API documentation tools (e.g., SwaggerHub).
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Exposure to DevSecOps, CI/CD automation, and release pipelines.
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Experience with modernization patterns for monolithic .NET or legacy distributed systems.
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Familiarity with AI-driven observability, automated testing, or code‑generation tools.
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