Sr Engineer, Software Development

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 Overview

We are seeking a highly skilled Senior Engineer / Tech Lead to join our Compensation Transformation Program. This role is critical to designing and implementing modern, cloud‑based data and application capabilities that will transform how compensation processing, data flows, validation, and automation operate across the enterprise.

The ideal candidate will bring strong experience in Python, AWS data pipeline services (Glue, Lambda, EventBridge, RDS, S3), and distributed workflow design. While UI or .NET experience can be beneficial, those are not mandatory requirements for this role.

You will work closely with architects, product teams, compensation SMEs, and engineering partners to deliver scalable, resilient, and future‑ready systems that modernize the compensation platform end‑to‑end.

Responsibilities

Core – Data Engineering & Cloud Architecture

Design and implement end‑to‑end data pipelines to support compensation calculations, ingestion, validation, and downstream processing

Build and maintain ETL/ELT workflows using Python, AWS Glue, Lambda, and Step Functions

Develop event-driven workflows leveraging AWS EventBridge, SQS, SNS, and other serverless components

Implement data quality, reconciliation, auditing, and monitoring layers to ensure high data integrity for compensation processes

Work with relational databases (RDS/Postgres/SQL Server) for modeling, transformations, and performance tuning

Integrate cloud data services with compensation rules engines, distribution systems, and downstream consumers

Application & Platform Engineering (Optional / Nice-to-Have)

Contribute to application components and microservices supporting compensation workflows

Assist with API design or UI enhancements as needed (Angular, JavaScript, .NET — optional)

Engineering Excellence

Partner with product, architecture, QA, and DevOps teams in an Agile environment

Apply CI/CD practices for automation and deployment of cloud-based data components

Troubleshoot data and workflow issues quickly and effectively

Analyze existing processes and propose improvements to increase transparency, scalability, and automation in compensation processing

Communicate clearly with business stakeholders, compensation SMEs, and technology partners

What are we looking for?

We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements

Data Engineering & Cloud (Primary Requirements)

8+ years of experience designing and implementing complex systems

5+ years hands-on data engineering experience, ideally in transformation‑heavy or rules‑driven domains

Strong Python development skills for ETL/ELT and pipeline orchestration

Hands-on experience with AWS cloud services

AWS Glue (ETL jobs, crawlers, transformations)

AWS Lambda

EventBridge (event-driven patterns)

Amazon RDS

S3 and data lake patterns

Strong SQL expertise (stored procedures, indexing, optimization)

DevOps experience with GitHub, CI/CD, build & deploy pipelines

Strong understanding of enterprise integration patterns, SOA concepts, and system design principles

Optional / Nice-to-Have (Not Hard Requirements)

Experience with .NET, C#, JavaScript, Angular, or Web API development

Experience with Snowflake or other modern cloud data warehouses

Experience with Jira, TeamCity, Octopus

Experience developing systems related to compensation, payroll, financial calculations, or rules‑driven engines

Soft Skills & Competencies

Excellent communication, stakeholder management, and cross-team collaboration

Strong analytical, problem‑solving, and debugging skills

Ability to troubleshoot production issues under tight timelines

Self-driven, innovative, and quick learner

Bachelor’s degree in Computer Science or related field

Preferences

Experience writing unit tests using any of these technologies VS Tests, NUnit, JUnit, MUnit, Jasmin/Karma is a plus

Snowflake experience

Team City, Octopus, Jira

Hands on experience implementing self-service portals

Experience developing customer service applications

Knowledge of estimation, tools and principles

Exposure to Cloud based application design and implementation

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